machine learning and data sciences for financial markets

Written by more than sixty experts in the area, this book reviews cutting-edge practices in machine learning for financial markets, and explores connections with data science and more traditional approaches. This is an invaluable resource for researchers and graduate students in financial engineering, as well as practitioners in the sector.

Objev podobné jako Machine Learning and Data Sciences for Financial Markets

Learn Big Data from the ground up with this complete and up-to-date resource from leaders in the field Big Data: Concepts, Technology, and Architecture delivers a comprehensive treatment of Big Data tools, terminology, and technology perfectly suited to a wide range of business professionals, academic researchers, and students. Beginning with a fulsome overview of what we mean when we say, ⠜Big Data,⠝ the book moves on to discuss every stage of the lifecycle of Big Data. Youâ ™ll learn about the creation of structured, unstructured, and semi-structured data, data storage solutions, traditional database solutions like SQL, data processing, data analytics, machine learning, and data mining. Youâ ™ll also discover how specific technologies like Apache Hadoop, SQOOP, and Flume work. Big Data also covers the central topic of big data visualization with Tableau, and youâ ™ll learn how to create scatter plots, histograms, bar, line, and pie charts with that software. Accessibly organized, Big Data includes illuminating case studies throughout the material, showing you how the included concepts have been applied in real-world settings. Some of those concepts include: The common challenges facing big data technology and technologists, like data heterogeneity and incompleteness, data volume and velocity, storage limitations, and privacy concerns Relational and non-relational databases, like RDBMS, NoSQL, and NewSQL databases Virtualizing Big Data through encapsulation, partitioning, and isolating, as well as big data server virtualization Apache software, including Hadoop, Cassandra, Avro, Pig, Mahout, Oozie, and Hive The Big Data analytics lifecycle, including business case evaluation, data preparation, extraction, transformation, analysis, and visualization Perfect for data scientists, data engineers, and database managers, Big Data also belongs on the bookshelves of business intelligence analysts who are required to make decisions based on large volumes of information. Executives and managers who lead teams responsible for keeping or understanding large datasets will also benefit from this book. Â

Objev podobné jako Big Data - Amir H. Gandomi, Seifedine Kadry, Nandhini Abirami R, Balamurugan Balusamy

This updated edition addresses the examined units of the CCEA AS level Life and Health Sciences specification (including the recently-proposed revisions). It covers both the Single and Double Award courses, through the study of the following units:â ¢ AS 2: Human Body Systemsâ ¢ AS 3: Aspects of Physical Chemistry in Industrial Processesâ ¢ AS 5: Material ScienceThe full-colour, illustrated chapters clearly explain the theory for the course, and are supported by worked examples, tips, examination-style questions and answers.The authors are all experienced science teachers and examiners and the book has been through a meticulous quality assurance process prior to publication.Contents:Unit AS 2: Human Body Systems1 Cardiovascular System2 Respiratory System 3 Respiration4 Homeostatic Mechanisms and How These Are Monitored5 Nutrition and Physical Exercise in Maintaining Good HealthUnit AS 3: Aspects of Physical Chemistry in Industrial Processes6 Chemical Calculations7 Volumetric Analysis 8 Energetics9 Kinetics 10 Equilibrium11 Industrial Processes, Infrastructure and Environmental ConsequencesUnit AS 5: Material Science12 Material Properties13 Categorising Materials and Microscopic Structure14 Alloys, Metal Working and Biomaterials15 Smart Materials, Nanomaterials and Industrial Considerations16 Semiconductors AnswersÂ

Objev podobné jako Life and Health Sciences for CCEA AS Level - Nora Henry, James Napier, Emma Dougan

This textbook provides the first resource to address the examined units of the CCEA A2 level Life and Health Sciences specification. It covers both the Single and Double Award courses, through the study of the following units:⠢ A2 2: Organic Chemistry⠢ A2 3: Medical Physics⠢ A2 4: Sound and Light⠢ A2 5: Genetics, Gene Technology and Stem CellsThe full-colour, illustrated chapters clearly explain the theory for the course, and are supported by worked examples, tips, examination-style questions and answers.The authors are all experienced science teachers and examiners. The book has been through a meticulous quality assurance process prior to publication.Contents:Unit A2 2: Organic Chemistry1 Nomenclature and Structure in Organic Compounds2 Alkanes3 Alkenes4 Polymers5 Alcohols6 Spectroscopic Techniques7 Making and Purifying Organic Compounds ⠓ the Preparation of AspirinUnit A2 3: Medical Physics8 Physiological Measurements to Monitor Health9 Diagnostic Imaging Techniques10 Medical Uses of RadiationUnit A2 4: Sound and Light11 Waves12 The Ear and Hearing13 Light in Communication and Radio Waves14 The EyeUnit A2 5: Genetics, Gene Technology and Stem Cells15 DNA and the Genetic Code16 Meiosis and Genetics17 The Application of Genetic Engineering and Gene Therapy18 Gene Cloning, Genetic Fingerprinting and Stem Cell TechnologyAnswers

Objev podobné jako Life and Health Sciences for CCEA A2 Level - Nora Henry, Jame Napier

Exam Board: AQALevel Subject: GCSE Combined Science: SynergyFirst teaching: September 2016 Next exams: June 2026AQA approvedThis book covers Unit 1 of the new 2016 GCSE Combined Science: Synergy course. The grouping of content follows that in the specification. Topic openers set the scene by providing a short overview of the links between the different chapters in a Topic. Linking questions between spreads and from chapter to chapter also help explain the narrative thread that links a Synergy topic together. Working Scientifically objectives linked to the AQA Combined Science: Synergy specification are identified, and questions addressing Working Scientifically skills embedded throughout.* Each spread is divided into three sections â “ starting with language, ideas and questions that are accessible to all and increasing in complexity to develop and practise ideas further.* Key concept spreads highlight core ideas that students must grasp before they can move on, and which will develop their understanding of the whole topic.* A dedicated spread for every required practical helps students analyse the practical, reflect on the science skills and knowledge they have developed and apply these skills to different contexts.* Maths skills spreads focus on the maths requirements of the AQA Combined Science specification, explaining concepts and providing opportunities to practise and apply maths in a relevant scientific context.* Throughout the book the questions become increasingly synoptic, helping students to draw together ideas from any part of Unit 1 in preparation for the terminal exams.* Higher-only content is clearly flagged so students can move seamlessly between tiers depending on their performance during the course.* End of chapter questions allow students to check that they have understood the ideas in the chapter and can apply these to new contexts. The questions are levelled in four sections of increasing demand. Questions on Higher-only content are also clearly flagged.

Objev podobné jako AQA GCSE Life and Environmental Sciences for Combined Science: Synergy 9-1 Student Book - Katy Bloom, Gina Walker, Shaista Shirazi

What does it mean to teach for social justice? Drawing on his own classroom experiences, leading author and educator Kevin K. Kumashiro examines various aspects of anti-oppressive teaching and learning and their implications for six different subject areas and various grade levels. Celebrating 20 years as a go-to resource for K-12 teachers and teacher educators, this 4th edition of the bestselling Against Common Sense: Teaching and Learning Toward Social Justice features:•                An expanded introduction that examines teaching in today’s context of censorship and attacks on diversity, democracy, and teaching truth;•                New sections on teacher preparation, social studies, reading and writing, and the arts;•                Updated lists of resources in every chapter;•                Graphics, teacher responses, and discussion questions to enhance comprehension and help translate theory into practice across the disciplines.Compelling and accessible, the 4th edition of Against Common Sense continues to offer readers the tools they need to begin teaching against their commonsensical assumptions and toward democracy and justice.

Objev podobné jako Against Common Sense: Teaching and Learning Toward Social Justice - Kevin K. Kumashiro

Bridge the gap between modern machine learning and real-world biology with this practical, project-driven guide. Whether your background is in biology, software engineering, or data science, Deep Learning for Biology gives you the tools to develop deep learning models for tackling a wide range of biological problems.

Objev podobné jako Deep Learning for Biology - Charles Ravarani, Natasha Latysheva

Embroidering with a sewing machine is exciting, immediate and affordable; this practical book shows you how to do it. Packed with encouraging advice, it introduces the sewing machine before explaining how to design, plan and make your own embroideries and turn them into finished items to treasure. Topics covered include: learning how to set up the machine and carry out basic cleaning and maintenance; discovering which thread types, fabrics and mixed media elements are most suitable for machine embroideries; exploring how to use the pressure foot to turn functional utility stitches into exciting surface decoration; working freely with dropped feeder teeth and an embroidery foot, and learning how to alter the tension to create different effects and finally, using soluble film to enhance your pictures, and stitch realistic thread paintings of landscape, animal and bird embroideries. With over 900 colour photographs and illustrations, it is the perfect companion for both those new to machine embroidery and those looking for new ideas and inspiration.

Objev podobné jako Machine Embroidery - Claire Fell

Modern Mathematical Methods for Scientists and Engineers is a modern introduction to basic topics in mathematics at the undergraduate level, with emphasis on explanations and applications to real-life problems. There is also an Application section at the end of each chapter, with topics drawn from a variety of areas, including neural networks, fluid dynamics, and the behavior of put and call options in financial markets. The book presents several modern important and computationally efficient topics, including feedforward neural networks, wavelets, generalized functions, stochastic optimization methods, and numerical methods.A unique and novel feature of the book is the introduction of a recently developed method for solving partial differential equations (PDEs), called the unified transform. PDEs are the mathematical cornerstone for describing an astonishingly wide range of phenomena, from quantum mechanics to ocean waves, to the diffusion of heat in matter and the behavior of financial markets. Despite the efforts of many famous mathematicians, physicists and engineers, the solution of partial differential equations remains a challenge.The unified transform greatly facilitates this task. For example, two and a half centuries after Jean d Alembert formulated the wave equation and presented a solution for solving a simple problem for this equation, the unified transform derives in a simple manner a generalization of the d Alembert solution, valid for general boundary value problems. Moreover, two centuries after Joseph Fourier introduced the classical tool of the Fourier series for solving the heat equation, the unified transform constructs a new solution to this ubiquitous PDE, with important analytical and numerical advantages in comparison to the classical solutions. The authors present the unified transform pedagogically, building all the necessary background, including functions of real and of complex variables and the Fourier transform, illustrating the method with numerous examples.Broad in scope, but pedagogical in style and content, the book is an introduction to powerful mathematical concepts and modern tools for students in science and engineering.

Objev podobné jako Modern Mathematical Methods For Scientists And Engineers: A Street-smart Introduction - Athanassios Fokas, Efthimios Kaxiras

NVIDIA s Full-Color Guide to Deep Learning: All You Need to Get Started and Get Results To enable everyone to be part of this historic revolution requires the democratization of AI knowledge and resources. This book is timely and relevant towards accomplishing these lofty goals. -- From the foreword by Dr. Anima Anandkumar, Bren Professor, Caltech, and Director of ML Research, NVIDIA Ekman uses a learning technique that in our experience has proven pivotal to successâ ”asking the reader to think about using DL techniques in practice. His straightforward approach is refreshing, and he permits the reader to dream, just a bit, about where DL may yet take us. -- From the foreword by Dr. Craig Clawson, Director, NVIDIA Deep Learning Institute Deep learning (DL) is a key component of today s exciting advances in machine learning and artificial intelligence. Learning Deep Learning is a complete guide to DL. Illuminating both the core concepts and the hands-on programming techniques needed to succeed, this book is ideal for developers, data scientists, analysts, and others--including those with no prior machine learning or statistics experience.After introducing the essential building blocks of deep neural networks, such as artificial neurons and fully connected, convolutional, and recurrent layers, Magnus Ekman shows how to use them to build advanced architectures, including the Transformer. He describes how these concepts are used to build modern networks for computer vision and natural language processing (NLP), including Mask R-CNN, GPT, and BERT. And he explains how a natural language translator and a system generating natural language descriptions of images.Throughout, Ekman provides concise, well-annotated code examples using TensorFlow with Keras. Corresponding PyTorch examples are provided online, and the book thereby covers the two dominating Python libraries for DL used in industry and academia. He concludes with an introduction to neural architecture search (NAS), exploring important ethical issues and providing resources for further learning. Explore and master core concepts: perceptrons, gradient-based learning, sigmoid neurons, and back propagation See how DL frameworks make it easier to develop more complicated and useful neural networks Discover how convolutional neural networks (CNNs) revolutionize image classification and analysis Apply recurrent neural networks (RNNs) and long short-term memory (LSTM) to text and other variable-length sequences Master NLP with sequence-to-sequence networks and the Transformer architecture Build applications for natural language translation and image captioning NVIDIA s invention of the GPU sparked the PC gaming market. The company s pioneering work in accelerated computing--a supercharged form of computing at the intersection of computer graphics, high-performance computing, and AI--is reshaping trillion-dollar industries, such as transportation, healthcare, and manufacturing, and fueling the growth of many others.Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.

Objev podobné jako Learning Deep Learning - Magnus Ekman

When you know the cause of an event, you can affect its outcome. This accessible introduction to causal inference shows you how to determine causality and estimate effects using statistics and machine learning.In Causal Inference for Data Science you will learn how to: Model reality using causal graphs Estimate causal effects using statistical and machine learning techniques Determine when to use A/B tests, causal inference, and machine learning Explain and assess objectives, assumptions, risks, and limitations Determine if you have enough variables for your analysis It s possible to predict events without knowing what causes them. Understanding causality allows you both to make data-driven predictions and also intervene to affect the outcomes. Causal Inference for Data Science shows you how to build data science tools that can identify the root cause of trends and events. You ll learn how to interpret historical data, understand customer behaviors, and empower management to apply optimal decisions.

Objev podobné jako Causal Inference for Data Science - Aleix de Villa

Exam Board: AQA A, WJEC, WJEC EduqasLevel: AS/A-levelSubject: English literatureFirst teaching: September 2015First exams: Summer 2016Enable students to achieve their best grade in AS/A-level English Literature with this year-round course companion; designed to instil in-depth textual understanding as students read, analyse and revise Skirrid Hill throughout the course.This Study and Revise guide:- Increases students knowledge of Skirrid Hill as they progress through the detailed commentary and contextual information written by experienced teachers and examiners- Develops understanding of characterisation, themes, form, structure and language, equipping students with a rich bank of textual examples to enhance their coursework and exam responses- Builds critical and analytical skills through challenging, thought-provoking questions and tasks that encourage students to form their own personal responses to the text- Extends learning and prepares students for higher-level study by introducing critical viewpoints, comparative references to other literary works and suggestions for independent research- Helps students maximise their exam potential using clear explanations of the Assessment Objectives, sample student answers and examiner insights- Improves students extended writing techniques through targeted advice on planning and structuring a successful essay

Objev podobné jako Study and Revise for AS/A-level: Skirrid Hill - Luke McBratney, Nicola Onyett

Exam board: AQA, Edexcel, OCR and WJECLevel: AS/A-levelSubject: English LiteratureFirst teaching: September 2015First exams: Summer 2016Enable students to achieve their best grade in AS/A-level English Literature with this year-round course companion; designed to instil in-depth textual understanding as students read, analyse and revise the AQA A Poetry Anthology throughout the course.This Study and Revise guide:- Increases students knowledge of the AQA A Poetry Anthology as they progress through the detailed commentary and contextual information written by experienced teachers and examiners- Develops understanding of characterisation, themes, form, structure and language, equipping students with a rich bank of textual examples to enhance their coursework and exam responses- Builds critical and analytical skills through challenging, thought-provoking questions and tasks that encourage students to form their own personal responses to the text- Extends learning and prepares students for higher-level study by introducing critical viewpoints, comparative references to other literary works and suggestions for independent research- Helps students maximise their exam potential using clear explanations of the Assessment Objectives, sample student answers and examiner insights- Improves students extended writing techniques through targeted advice on planning and structuring a successful essayPlease note: This book uses early modern English spelling, in accordance with the AQA Anthology.

Objev podobné jako Study and Revise for AS/A-level: AQA Anthology: love poetry through the ages - Luke McBratney

Exam Board: Pearson EdexcelLevel: AS/A-levelSubject: English literatureFirst teaching: September 2015First exams: Summer 2016 (AS); Summer 2017 (A-level)Enable students to achieve their best grade with this Pearson Edexcel AS/A-level English literature guide, designed to instil in-depth textual understanding as students read, analyse and revise the Poems of the Decade anthology throughout the course.This Study and Revise guide:- Increases students knowledge of the Poems of the Decade anthology as they progress through the detailed commentary and contextual information written by experienced teachers and examiners- Develops understanding of characterisation, themes, form, structure and language, equipping students with a rich bank of textual examples to enhance their coursework and exam responses- Builds critical and analytical skills through challenging, thought-provoking questions and tasks that encourage students to form their own personal responses to the poems- Extends learning and prepares students for higher-level study by introducing critical viewpoints, comparative references to other literary works and suggestions for independent research- Helps students maximise their exam potential using clear explanations of the Assessment Objectives, sample student answers and examiner insights- Improves students extended writing techniques through targeted advice on planning and structuring a successful essay

Objev podobné jako Study and Revise Literature Guide for AS/A-level: Pearson Edexcel Poems of the Decade - Richard Vardy

A dedicated workbook to support and consolidate grammar learning and translation skills for AQA GCSE French for first teaching from 2016. Includes: explanations of key grammar points, verb tables, and exercises to embed grammar knowledge translation exercises and strategies for translation both into French and into English a bank of revision translations bringing together grammar and vocabulary learning from throughout the course clear links to the Student Books from the same series.

Objev podobné jako Studio AQA GCSE French Grammar and Translation Workbook - Stuart Glover

A dedicated workbook to support and consolidate grammar learning and translation skills for Edexcel GCSE (9-1) Spanish. Includes: explanations of key grammar points, verb tables, and exercises to embed grammar knowledge translation exercises and strategies for translation both into Spanish and into English a bank of revision translations bringing together grammar and vocabulary learning from throughout the course clear links to the Viva! Student Books from the same series.

Objev podobné jako Viva! Edexcel GCSE Spanish Grammar and Translation Workbook - Traynor Tracy, Ian Kendrick, John Halksworth

Help students to build their subject knowledge and understanding with the updated edition of our Eduqas GCSE Religious Studies Route B Student Book. Work through accessible and engaging content that has been thoroughly revised by subject specialists to provide streamlined and up-to-date support for the specification.- Feel confident teaching the Catholic and Judaism content with expert guidance written by faith experts and Diocesan advisors- Develop understanding through clear, accessible explanations of the specification content and key concepts- Keep track of progress with learning objectives and summaries for every topic- Engage students and cement knowledge and skills using a range of assessment related tasks, activities and guidance that support learning and revision- Cater for students of varying learning styles through a visually engaging approach that uses photos and artwork to enhance subject interest and understanding

Objev podobné jako Eduqas GCSE (9-1) Religious Studies Route B: Catholic Christianity and Judaism (2022 updated edition) - Joy White, Andrew Barron, Patrick Harrison, De

A dedicated workbook to support and consolidate grammar learning and translation skills for AQA GCSE German for first teacing from 2016. Includes: explanations of key grammar points, verb tables, and exercises to embed grammar knowledge translation exercises and strategies for translation both into German and into English a bank of revision translations bringing together grammar and vocabulary learning from throughout the course clear links to the Student Books from the same series.

Objev podobné jako Stimmt! AQA GCSE German Grammar and Translation Workbook - Jon Meier

A dedicated workbook to support and consolidate grammar learning and translation skills for Edexcel GCSE (9-1) German. Includes: explanations of key grammar points, verb tables, and exercises to embed grammar knowledge translation exercises and strategies for translation both into German and into English a bank of revision translations bringing together grammar and vocabulary learning from throughout the course clear links to the Stimmt! Student Books from the same series.

Objev podobné jako Stimmt! Edexcel GCSE German Grammar and Translation Workbook - Jon Meier

The no-nonsense way to get started coding in the Python programming language Python Essentials For Dummies is a quick reference to all the core concepts in Python, the multifaceted general-purpose language used for everything from building websites to creating apps. This book gets right to the point, with no excess review, wordy explanations, or fluff, making it perfect as a desk reference on the job or as a brush-up as you expand your skills in related areas. Focusing on just the essential topics you need to know to brush up or level up your Python skill, this is the reliable little book you can always turn to for answers. Get a quick and thorough intro to the basic concepts of coding in PythonReview what you ve already learned or pick up essential new skillsCreate websites, software, machine learning, and automation for school or workKeep this concise reference book handy for jogging your memory as you code This portable Dummies Essentials book focuses on the key topics you need to know about the popular Python language. Great for supplementing a course, reviewing for a certification, or staying knowledgeable on the job.

Objev podobné jako Python Essentials For Dummies - Alan Simpson, John C. Shovic

New 2017 Cambridge A Level Maths and Further Maths resources help students with learning and revision. Written for the OCR AS/A Level Mathematics specifications for first teaching from 2017, this print Student Book covers the content for AS and the first year of A Level. It balances accessible exposition with a wealth of worked examples, exercises and opportunities to test and consolidate learning, providing a clear and structured pathway for progressing through the course. It is underpinned by a strong pedagogical approach, with an emphasis on skills development and the synoptic nature of the course. Includes answers to aid independent study.

Objev podobné jako A Level Mathematics for OCR Student Book 1 (AS/Year 1) - Ben Woolley

New 2017 Cambridge A Level Maths and Further Maths resources help students with learning and revision. Written for the OCR A Level Mathematics specification for first teaching from 2017, this print Student Book covers the content for the second year of A Level. It balances accessible exposition with a wealth of worked examples, exercises and opportunities to test and consolidate learning, providing a clear and structured pathway for progressing through the course. It is underpinned by a strong pedagogical approach, with an emphasis on skills development and the synoptic nature of the course. Includes answers to aid independent study.

Objev podobné jako A Level Mathematics for OCR A Student Book 2 (Year 2) - Ben Woolley, Vesna Kadelburg

New 2017 Cambridge A Level Maths and Further Maths resources to help students with learning and revision. Written for the OCR AS/A Level Further Mathematics specification for first teaching from 2017, this print Student Book covers the Mechanics content for AS and A Level. It balances accessible exposition with a wealth of worked examples, exercises and opportunities to test and consolidate learning, providing a clear and structured pathway for progressing through the course. It is underpinned by a strong pedagogical approach, with an emphasis on skills development and the synoptic nature of the course. Includes answers to aid independent study.

Objev podobné jako A Level Further Mathematics for OCR A Mechanics Student Book (AS/A Level) - Janet Such, Nathan Barker, Michele Conway, Jess Barker

New 2017 Cambridge A Level Maths and Further Maths resources help students with learning and revision. Written for the AQA A Level Mathematics specification for first teaching from 2017, this print Student Book covers the content for the second year of A Level. It balances accessible exposition with a wealth of worked examples, exercises and opportunities to test and consolidate learning, providing a clear and structured pathway for progressing through the course. It is underpinned by a strong pedagogical approach, with an emphasis on skills development and the synoptic nature of the course. Includes answers to aid independent study. This book has entered an AQA approval process.

Objev podobné jako A Level Mathematics for AQA Student Book 2 (Year 2) - Fannon Paul, Stephen Ward

New 2017 Cambridge A Level Maths and Further Maths resources to help students with learning and revision. Written for the OCR A Level Further Mathematics specification for first teaching from 2017, this print Student Book and Cambridge Elevate edition covers the Pure Core content for second year of A Level. It balances accessible exposition with a wealth of worked examples, exercises and opportunities to test and consolidate learning, providing a clear and structured pathway for progressing through the course. It is underpinned by a strong pedagogical approach, with emphasis on skills development and the synoptic nature of the course. Available online and on tablet devices through the Cambridge Elevate app. Includes answers to aid independent study.

Objev podobné jako A Level Further Mathematics for OCR A Pure Core Student Book 2 (Year 2) with Digital Access (2 Years) - Ben Woolley

New 2017 Cambridge A Level Maths and Further Maths resources to help students with learning and revision. Written for the AQA AS/A Level Further Mathematics specification for first teaching from 2017, this print Student Book covers the Statistics content for AS and A Level. It balances accessible exposition with a wealth of worked examples, exercises and opportunities to test and consolidate learning, providing a clear and structured pathway for progressing through the course. It is underpinned by a strong pedagogical approach, with an emphasis on skills development and the synoptic nature of the course. Includes answers to aid independent study. This book has entered an AQA approval process.

Objev podobné jako A Level Further Mathematics for AQA Statistics Student Book (AS/A Level) - Fannon Paul, Stephen Ward

New 2017 Cambridge A Level Maths and Further Maths resources to help students with learning and revision. Written for the AQA AS/A Level Further Mathematics specifications for first teaching from 2017, this print Student Book covers the compulsory content for AS and the first year of A Level. It balances accessible exposition with a wealth of worked examples, exercises and opportunities to test and consolidate learning, providing a clear and structured pathway for progressing through the course. It is underpinned by a strong pedagogical approach, with an emphasis on skills development and the synoptic nature of the course. Includes answers to aid independent study. This book has entered an AQA approval process.

Objev podobné jako A Level Further Mathematics for AQA Student Book 1 (AS/Year 1) - Fannon Paul

New 2017 Cambridge A Level Maths and Further Maths resources help students with learning and revision. Written for the AQA AS/A Level Mathematics specifications for first teaching from 2017, this print Student Book covers the content for AS and the first year of A Level. It balances accessible exposition with a wealth of worked examples, exercises and opportunities to test and consolidate learning, providing a clear and structured pathway for progressing through the course. It is underpinned by a strong pedagogical approach, with an emphasis on skills development and the synoptic nature of the course. Includes answers to aid independent study. This book is AQA approved

Objev podobné jako A Level Mathematics for AQA Student Book 1 (AS/Year 1) - Fannon Paul

Young readers can discover the extraordinary ways in which math shapes our world in this beautifully illustrated full-colour guide. From the Fibonacchi sequence to weather forecasts, this accessible hardcover book is packed with clear and engaging explanations of mathematical principles. Learn about the genius minds who transformed the field, such as Isaac Newton and Alan Turing, as well as how math has shaped modern science. Big new concepts pop off the page, thanks to vibrant diagrams and an engaging, energetic prose style. Includes:• Famous mathematicians • The math behind prime and negative numbers • The mathematics behind applied sciences, including computers, wormholes, flight and moreWith a glossary of key terms, this wide-ranging guide supports STEM learning and is perfect for readers aged 8-12. ABOUT THE SERIES: The Curious Kids series draws together wonderfully illustrated guides to STEM topics. With a smart, modern style in a jacketed hardcover format, these vibrant guides will help young readers take their math and science skills to the next level.

Objev podobné jako Maths for Curious Kids - Huggins-Cooper Lynn

Exam Board: AQALevel: AS/A-levelSubject: BusinessFirst Teaching: September 2015First Exam: June 2016Ian Marcousé has been trusted by Business students for over 15 years and his updated textbook has been fully revised to reflect the 2015 AQA Business specification, giving you up-to-date material that supports your teaching and student s learning.- Guides students through the content in an easy to understand way, with the new logic chain feature at the start of every chapter showing them the progression clearly- Helps students apply their knowledge and analyse business data with real business examples throughout- Consolidates students learning and prepares them for assessment with the workbook feature at the end of every chapter containing knowledge check and practice questions

Objev podobné jako AQA Business for A Level (Marcouse) - Andrew Hammond, Nigel Watson, Ian Marcouse

Fully updated to cover the current CCEA AS Level Chemistry specification.Following the same content as the specification, the book is presented in full colour with over one hundred illustrations. The bright, clear layout will aid students⠙ understanding of the course. Over 600 questions and worked examples are provided throughout to reinforce learning and aid preparation for the exam. The answers are supplied. A Practical Assessment section is included to address the AS 3 Basic Practical Chemistry unit. The text is also supported by a glossary of terms, broken down by chapter.The book has been through a thorough quality assurance check by an independent Chemistry expert. The author, Wingfield Glassey, is experienced in the subject and currently teaches A Level Chemistry at a Northern Ireland grammar school.Contents:Unit AS1: Basic Concepts in Physical and Inorganic Chemistry1.1 ⠓ Formulas, Equations and Amounts of Substance1.2 ⠓ Atomic Structure and The Periodic Table1.3 ⠓ Chemical Bonding and Structure1.4 ⠓ Shapes of Molecules and Ions 1.5 ⠓ Intermolecular Forces1.6 ⠓ Oxidation and Reduction1.7 ⠓ Group VII: The Halogens1.8 ⠓ Volumetric Analysis1.9 ⠓ Qualitative AnalysisUnit AS2: Further Physical and Inorganic Chemistry and an Introduction to Organic Chemistry2.1 ⠓ Further Calculations2.2 ⠓ Organic Chemistry2.3 ⠓ Hydrocarbons: Alkanes2.4 ⠓ Hydrocarbons: Alkenes2.5 ⠓ Halogenoalkanes2.6 ⠓ Alcohols2.7 ⠓ Infrared Spectroscopy2.8 ⠓ Energetics2.9 ⠓ Equilibrium2.10 ⠓ Chemical Kinetics2.11 ⠓ Group II: The Alkaline Earth MetalsUnit AS3: Practical AssessmentAnswersGlossaryAppendix 1 ⠓ Specification MappingAppendix 2 ⠓ Working with Significant Figures

Objev podobné jako Chemistry for CCEA AS Level - Dr Wingfield Glassey

This popular resource has been comprehensively updated to cover the current CCEA A2 level Biology specification. Following the same content as the specification, the book is presented in full colour with over two hundred illustrations.This bright and clear layout will aid students⠙ understanding of the course. Sample examination questions are also provided throughout to reinforce learning and aid preparation for the exam.New material addressing the practical work in the A2 3 paper has been added to this edition.The author, Dr James Napier, is a well-known Biology author and a former teacher in a Northern Ireland Grammar School.ContentsA2 1 Physiology, Co-ordination and Control, and EcosystemsChapter 1 ⠓ Homeostasis and the KidneyChapter 2 ⠓ ImmunityChapter 3 ⠓ Coordination and Control in PlantsChapter 4 ⠓ Neurones and SynapsesChapter 5 ⠓ The Eye and MuscleChapter 6 ⠓ Populations and CommunitiesChapter 7 ⠓ Ecological Energetics and Nutrient Cycling A2 2 Biochemistry, Genetics and Evolutionary TrendsChapter 8 ⠓ RespirationChapter 9 ⠓ PhotosynthesisChapter 10 ⠓ DNA as the Genetic Code (Protein Synthesis)Chapter 11 ⠓ Gene TechnologyChapter 12 ⠓ Genes and Patterns of InheritanceChapter 13 ⠓ Population GeneticsChapter 14 ⠓ The Plant and Animal KingdomsChapter 15 ⠓ Statistics

Objev podobné jako Biology for CCEA A2 Level - James Napier

Gain a strong foundation in the principles of economics and learn to apply them successfully in real-life scenarios. Economics of Money, Banking and Financial Markets, 13th edition, Global Edition, by Frederic S. Mishkin, brings a fresh perspective to the major questions surrounding financial policy. Drawing on his experience as former Governor of the Federal Reserve, Mishkin brings a unique viewpoint to the subject. The text guides you with helpful insights through topics covering the monetary policy process, the regulation and supervision of the financial system, and the internalisation of financial markets. The 13th edition comes packed with new examples, additional insight boxes and revised in-chapter content, making it an excellent aid for courses on money and banking or general economics. This authoritative text will ensure you are equipped with the tools to make successful decisions in both your personal and professional life. Pair this text with MyLab® Economics MyLab is the teaching and learning platform that empowers you to reach every student. Combining trusted content with digital tools, MyLab Economics personalises the learning experience and improves student results. If you would like to purchase the physical text and MyLab® Economics, search for: 9781292409603⠯Economics of Money, Banking and Financial Markets, Global Edition, 13th⠯Edition plus MyLab⠯Economics⠯with Pearson eText. Package consists of:⠯ 9781292409481 Economics of money main title 13th Edition 9781292409504 MyLab® Economics 9781292409580 Economics of money 13th Edition Pearson eText MyLab®Economics is not included. If MyLab is a recommended component of the course, ask your instructor for the correct ISBN. MyLab should only be purchased when required. Instructors, contact your Pearson representative for more information. This title is a Pearson Global Edition. The Editorial team has worked with educators around the world to include content relevant to students outside the United States.

Objev podobné jako Economics of Money, Banking and Financial Markets, The, Global Edition - Frederic Mishkin

The most human-friendly book on machine learning Somewhere buried in all the systems that drive artificial intelligence, you ll find machine learningâ ”the process that allows technology to build knowledge based on data and patterns. Machine Learning For Dummies is an excellent starting point for anyone who wants deeper insight into how all this learning actually happens. This book offers an overview of machine learning and its most important practical applications. Then, you ll dive into the tools, code, and math that make machine learning goâ ”and you ll even get step-by-step instructions for testing it out on your own. For an easy-to-follow introduction to building smart algorithms, this Dummies guide is your go-to. Piece together what machine learning is, what it can do, and what it can t doLearn the basics of machine learning code and how it integrates with large datasetsUnderstand the mathematical principles that AI uses to make itself smarterConsider real-world applications of machine learning and write your own algorithms With clear explanations and hands-on instruction, Machine Learning For Dummies is a great entry-level resource for developers looking to get started with AI and machine learning.

Objev podobné jako Machine Learning For Dummies - John Paul Mueller, Luca Massaron

MACHINE LEARNING FOR BUSINESS ANALYTICS Machine learning â ”also known as data mining or data analyticsâ ” is a fundamental part of data science. It is used by organizations in a wide variety of arenas to turn raw data into actionable information. Machine Learning for Business Analytics: Concepts, Techniques, and Applications in R provides a comprehensive introduction and an overview of this methodology. This best-selling textbook covers both statistical and machine learning algorithms for prediction, classification, visualization, dimension reduction, rule mining, recommendations, clustering, text mining, experimentation, and network analytics. Along with hands-on exercises and real-life case studies, it also discusses managerial and ethical issues for responsible use of machine learning techniques. This is the second R edition of Machine Learning for Business Analytics. This edition also includes: A new co-author, Peter Gedeck, who brings over 20 years of experience in machine learning using RAn expanded chapter focused on discussion of deep learning techniquesA new chapter on experimental feedback techniques including A/B testing, uplift modeling, and reinforcement learningA new chapter on responsible data scienceUpdates and new material based on feedback from instructors teaching MBA, Masters in Business Analytics and related programs, undergraduate, diploma and executive courses, and from their studentsA full chapter devoted to relevant case studies with more than a dozen cases demonstrating applications for the machine learning techniquesEnd-of-chapter exercises that help readers gauge and expand their comprehension and competency of the material presentedA companion website with more than two dozen data sets, and instructor materials including exercise solutions, slides, and case solutions This textbook is an ideal resource for upper-level undergraduate and graduate level courses in data science, predictive analytics, and business analytics. It is also an excellent reference for analysts, researchers, and data science practitioners working with quantitative data in management, finance, marketing, operations management, information systems, computer science, and information technology.

Objev podobné jako Machine Learning for Business Analytics - Peter Gedeck, Galit Shmueli, Peter C. Bruce, Nitin R. Patel, Inbal Yahav

Financial Markets and Institutions takes a practical approach to the changing landscape of financial markets and institutions. The text uses core principles to introduce topics, then examines these models via real-world scenarios. Empirical applications of themes help you develop essential critical-thinking and problem-solving skills. The 10th Edition reflects major changes in the aftermath of the global financial and Covid crises. With timely new sections, cases and boxes, you ll have the latest, most relevant information to help prepare you for your future career.

Objev podobné jako Financial Markets and Institutions, Global Edition - Frederic Mishkin, Stanley Eakins

MACHINE LEARNING FOR BUSINESS ANALYTICS Machine learning⠔also known as data mining or predictive analytics⠔is a fundamental part of data science. It is used by organizations in a wide variety of arenas to turn raw data into actionable information. Machine Learning for Business Analytics: Concepts, Techniques, and Applications with Analytic Solver® Data Mining provides a comprehensive introduction and an overview of this methodology. The fourth edition of this best-selling textbook covers both statistical and machine learning algorithms for prediction, classification, visualization, dimension reduction, rule mining, recommendations, clustering, text mining, experimentation, time series forecasting and network analytics. Along with hands-on exercises and real-life case studies, it also discusses managerial and ethical issues for responsible use of machine learning techniques. This fourth edition of Machine Learning for Business Analytics also includes: An expanded chapter on deep learningA new chapter on experimental feedback techniques, including A/B testing, uplift modeling, and reinforcement learningA new chapter on responsible data scienceUpdates and new material based on feedback from instructors teaching MBA, Masters in Business Analytics and related programs, undergraduate, diploma and executive courses, and from their studentsA full chapter devoted to relevant case studies with more than a dozen cases demonstrating applications for the machine learning techniquesEnd-of-chapter exercises that help readers gauge and expand their comprehension and competency of the material presentedA companion website with more than two dozen data sets, and instructor materials including exercise solutions, slides, and case solutions This textbook is an ideal resource for upper-level undergraduate and graduate level courses in data science, predictive analytics, and business analytics. It is also an excellent reference for analysts, researchers, and data science practitioners working with quantitative data in management, finance, marketing, operations management, information systems, computer science, and information technology.

Objev podobné jako Machine Learning for Business Analytics - Galit Shmueli, Peter C. Bruce, Nitin R. Patel, Kuber R. Deokar

MACHINE LEARNING FOR BUSINESS ANALYTICS An up-to-date introduction to a market-leading platform for data analysis and machine learning Machine Learning for Business Analytics: Concepts, Techniques, and Applications with JMP Pro, 2nd ed. offers an accessible and engaging introduction to machine learning. It provides concrete examples and case studies to educate new users and deepen existing usersâ ™ understanding of their data and their business. Fully updated to incorporate new topics and instructional material, this remains the only comprehensive introduction to this crucial set of analytical tools specifically tailored to the needs of businesses. Machine Learning for Business Analytics: Concepts, Techniques, and Applications with JMP Pro, 2nd ed. readers will also find: Updated material which improves the bookâ ™s usefulness as a reference for professionals beyond the classroomFour new chapters, covering topics including Text Mining and Responsible Data ScienceAn updated companion website with data sets and other instructor resources: www.jmp.com/dataminingbookA guide to JMP Pro s new features and enhanced functionality Machine Learning for Business Analytics: Concepts, Techniques, and Applications with JMP Pro, 2nd ed. is ideal for students and instructors of business analytics and data mining classes, as well as data science practitioners and professionals in data-driven industries.

Objev podobné jako Machine Learning for Business Analytics - Galit Shmueli, Peter C. Bruce, Nitin R. Patel, Muralidhara Anandamurthy, Mia L. Stephens

The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability and statistics. These topics are traditionally taught in disparate courses, making it hard for data science or computer science students, or professionals, to efficiently learn the mathematics. This self-contained textbook bridges the gap between mathematical and machine learning texts, introducing the mathematical concepts with a minimum of prerequisites. It uses these concepts to derive four central machine learning methods: linear regression, principal component analysis, Gaussian mixture models and support vector machines. For students and others with a mathematical background, these derivations provide a starting point to machine learning texts. For those learning the mathematics for the first time, the methods help build intuition and practical experience with applying mathematical concepts. Every chapter includes worked examples and exercises to test understanding. Programming tutorials are offered on the book s web site.

Objev podobné jako Mathematics for Machine Learning - A. Aldo Faisal, Marc Peter Deisenroth, Cheng Soon Ong

Extensively revised to reflect the dramatic shifts and consolidation of the financial markets, the seventh edition of this highly regarded book provides a clear and incisive guide to a complex world that even those who work in it often find hard to understand.With chapters on the markets that deal with money, foreign exchange, equities, bonds, commodities, financial futures, options and other derivatives, it looks at why these markets exist, how they work and who trades in them, and it gives a run-down of the factors that affect prices and rates.Business history is littered with disasters that occurred because people involved their firms with financial instruments they didn t properly understand. If they had had this book they might have avoided their mistakes. For anyone wishing to understand financial markets, there is no better guide.

Objev podobné jako The Economist Guide To Financial Markets 7th Edition - Marc Levinson

Science, engineering, and technology permeate nearly every facet of modern life and hold the key to solving many of humanity s most pressing current and future challenges. The United States position in the global economy is declining, in part because U.S. workers lack fundamental knowledge in these fields. To address the critical issues of U.S. competitiveness and to better prepare the workforce, A Framework for K-12 Science Education proposes a new approach to K-12 science education that will capture students interest and provide them with the necessary foundational knowledge in the field. A Framework for K-12 Science Education outlines a broad set of expectations for students in science and engineering in grades K-12. These expectations will inform the development of new standards for K-12 science education and, subsequently, revisions to curriculum, instruction, assessment, and professional development for educators. This book identifies three dimensions that convey the core ideas and practices around which science and engineering education in these grades should be built. These three dimensions are: crosscutting concepts that unify the study of science through their common application across science and engineering; scientific and engineering practices; and disciplinary core ideas in the physical sciences, life sciences, and earth and space sciences and for engineering, technology, and the applications of science. The overarching goal is for all high school graduates to have sufficient knowledge of science and engineering to engage in public discussions on science-related issues, be careful consumers of scientific and technical information, and enter the careers of their choice. A Framework for K-12 Science Education is the first step in a process that can inform state-level decisions and achieve a research-grounded basis for improving science instruction and learning across the country. The book will guide standards developers, teachers, curriculum designers, assessment developers, state and district science administrators, and educators who teach science in informal environments. Table of ContentsFront MatterSummaryPART I: A Vision for K-12 Science Education1 A New Conceptual Framework2 Guiding Assumptions and Organization of the FrameworkPART II: Dimensions of the Framework3 Dimension 1: Scientific and Engineering Practices4 Dimension 2: Crosscutting Concepts5 Dimension 3: Disciplinary Core Ideas - Physical Sciences6 Dimension 3: Disciplinary Core Ideas - Life Sciences7 Dimension 3: Disciplinary Core Ideas - Earth and Space Sciences8 Dimension 3: Disciplinary Core Ideas - Engineering, Technology, and Applications of SciencePART III: Realizing the Vision9 Integrating the Three Dimensions10 Implementation: Curriculum, Instruction, Teacher Development, and Assessment11 Equity and Diversity in Science and Engineering Education12 Guidance for Standards Developers13 Looking Toward the Future: Research and Development to Inform K-12 Science Education StandardsAPPENDIXESAppendix A: Summary of Public Feedback and Subsequent RevisionsAppendix B: Bibliography of References Consulted on Teaching and LearningAppendix C: Biographical Sketches of Committee Members and StaffAppendix D: Design Team MembersIndexPhoto Credits

Objev podobné jako A Framework for K-12 Science Education - National Research Council, Board on Science Education, Division of Behavioral and Social Sciences and Educati

It s time to dispel the myth that machine learning is difficult. Grokking Machine Learning teaches you how to apply ML to your projects using only standard Python code and high school-level math. No specialist knowledge is required to tackle the hands-on exercises using readily available machine learning tools! In Grokking Machine Learning, expert machine learning engineer Luis Serrano introduces the most valuable ML techniques and teaches you how to make them work for you. Practical examples illustrate each new concept to ensure you⠙re grokking as you go. You⠙ll build models for spam detection, language analysis, and image recognition as you lock in each carefully-selected skill. Packed with easy-to-follow Python-based exercises and mini-projects, this book sets you on the path to becoming a machine learning expert. Key Features · Different types of machine learning, including supervised and unsupervised learning · Algorithms for simplifying, classifying, and splitting data · Machine learning packages and tools · Hands-on exercises with fully-explained Python code samples For readers with intermediate programming knowledge in Python or a similar language. About the technology Machine learning is a collection of mathematically-based techniques and algorithms that enable computers to identify patterns and generate predictions from data. This revolutionary data analysis approach is behind everything from recommendation systems to self-driving cars, and is transforming industries from finance to art. Luis G. Serrano has worked as the Head of Content for Artificial Intelligence at Udacity and as a Machine Learning Engineer at Google, where he worked on the YouTube recommendations system. He holds a PhD in mathematics from the University of Michigan, a Bachelor and Masters from the University of Waterloo, and worked as a postdoctoral researcher at the University of Quebec at Montreal. He shares his machine learning expertise on a YouTube channel with over 2 million views and 35 thousand subscribers, and is a frequent speaker at artificial intelligence and data science conferences.

Objev podobné jako Grokking Machine Learning - Luis Serrano

A thoroughly updated and extended new edition of this well-regarded introduction to the basic concepts of biological physics for students in the health and life sciences. Designed to provide a solid foundation in physics for students following health science courses, the text is divided into six sections: Mechanics, Solids and Fluids, Thermodynamics, Electricity and DC Circuits, Optics, and Radiation and Health. Filled with illustrative examples, Introduction to Biological Physics for the Health and Life Sciences, Second Edition features a wealth of concepts, diagrams, ideas and challenges, carefully selected to reference the biomedical sciences. Resources within the text include interspersed problems, objectives to guide learning, and descriptions of key concepts and equations, as well as further practice problems. NEW CHAPTERS INCLUDE: Optical InstrumentsAdvanced Geometric OpticsThermodynamic ProcessesHeat Engines and EntropyThermodynamic Potentials This comprehensive text offers an important resource for health and life science majors with little background in mathematics or physics. It is also an excellent reference for anyone wishing to gain a broad background in the subject. Topics covered include: KinematicsForce and Newton⠙s Laws of Motion EnergyWaves Sound and HearingElasticityFluid Dynamics Temperature and the Zeroth LawIdeal Gases Phase and Temperature ChangeWater VapourThermodynamics and the Body Static Electricity Electric Force and Field       CapacitanceDirect Currents and DC CircuitsThe Eye and Vision Optical InstrumentsAtoms and Atomic Physics           The Nucleus and Nuclear PhysicsIonising Radiation                 Medical imagingMagnetism and MRI  Instructor⠙s support material available through companion website, www.wiley.com/go/biological_physics

Objev podobné jako Introduction to Biological Physics for the Health and Life Sciences - Kirsten Franklin, Terry Scott, Paul Yates, Paul Muir

Dig deep into the data with a hands-on guide to machine learning with updated examples and more! Machine Learning: Hands-On for Developers and Technical Professionals provides hands-on instruction and fully-coded working examples for the most common machine learning techniques used by developers and technical professionals. The book contains a breakdown of each ML variant, explaining how it works and how it is used within certain industries, allowing readers to incorporate the presented techniques into their own work as they follow along. A core tenant of machine learning is a strong focus on data preparation, and a full exploration of the various types of learning algorithms illustrates how the proper tools can help any developer extract information and insights from existing data. The book includes a full complement of Instructor s Materials to facilitate use in the classroom, making this resource useful for students and as a professional reference. At its core, machine learning is a mathematical, algorithm-based technology that forms the basis of historical data mining and modern big data science. Scientific analysis of big data requires a working knowledge of machine learning, which forms predictions based on known properties learned from training data. Machine Learning is an accessible, comprehensive guide for the non-mathematician, providing clear guidance that allows readers to: Learn the languages of machine learning including Hadoop, Mahout, and WekaUnderstand decision trees, Bayesian networks, and artificial neural networksImplement Association Rule, Real Time, and Batch learningDevelop a strategic plan for safe, effective, and efficient machine learning By learning to construct a system that can learn from data, readers can increase their utility across industries. Machine learning sits at the core of deep dive data analysis and visualization, which is increasingly in demand as companies discover the goldmine hiding in their existing data. For the tech professional involved in data science, Machine Learning: Hands-On for Developers and Technical Professionals provides the skills and techniques required to dig deeper.

Objev podobné jako Machine Learning - Jason Bell

This book provides insights into the true nature of financial and economic data, and is a practical guide on how to analyze a variety of data sources. The focus of the book is on finance and economics, but it also illustrates the use of quantitative analysis and data science in many different areas. Lastly, the book includes practical information on how to store and process data and provides a framework for data driven reasoning about the world.The book begins with entertaining tales from Graham Giller s career in finance, starting with speculating in UK government bonds at the Oxford Post Office, accidentally creating a global instant messaging system that went viral before anybody knew what that meant, on being the person who forgot to hit enter to run a hundred-million dollar statistical arbitrage system, what he decoded from his brief time spent with Jim Simons, and giving Michael Bloomberg a tutorial on Granger Causality.The majority of the content is a narrative of analytic work done on financial, economics, and alternative data, structured around both Dr Giller s professional career and some of the things that just interested him. The goal is to stimulate interest in predictive methods, to give accurate characterizations of the true properties of financial, economic and alternative data, and to share what Richard Feynman described as The Pleasure of Finding Things Out.

Objev podobné jako Adventures In Financial Data Science: The Empirical Properties Of Financial And Economic Data - Graham L Giller

Develop a mathematical intuition around machine learning algorithms to improve model performance and effectively troubleshoot complex ML problems. For intermediate machine learning practitioners familiar with linear algebra, probability, and basic calculus. Machine Learning Algorithms in Depth dives into the design and underlying principles of some of the most exciting machine learning (ML) algorithms in the world today. With a particular emphasis on probability-based algorithms, you will learn the fundamentals of Bayesian inference and deep learning. You will also explore the core data structures and algorithmic paradigms for machine learning. You will explore practical implementations of dozens of ML algorithms, including: Monte Carlo Stock Price Simulation Image Denoising using Mean-Field Variational Inference EM algorithm for Hidden Markov Models Imbalanced Learning, Active Learning and Ensemble Learning Bayesian Optimisation for Hyperparameter Tuning Dirichlet Process K-Means for Clustering Applications Stock Clusters based on Inverse Covariance Estimation Energy Minimisation using Simulated Annealing Image Search based on ResNet Convolutional Neural Network Anomaly Detection in Time-Series using Variational Autoencoders Each algorithm is fully explored with both math and practical implementations so you can see how they work and put into action. About the technology Fully understanding how machine learning algorithms function is essential for any serious ML engineer. This vital knowledge lets you modify algorithms to your specific needs, understand the trade-offs when picking an algorithm for a project, and better interpret and explain your results to your stakeholders. This unique guide will take you from relying on one-size-fits-all ML libraries to developing your own algorithms to solve your business needs.

Objev podobné jako Machine Learning Algorithms in Depth - Vadim Smolyakov

An advanced book for researchers and graduate students working in machine learning and statistics who want to learn about deep learning, Bayesian inference, generative models, and decision making under uncertainty.An advanced counterpart to Probabilistic Machine Learning: An Introduction, this high-level textbook provides researchers and graduate students detailed coverage of cutting-edge topics in machine learning, including deep generative modeling, graphical models, Bayesian inference, reinforcement learning, and causality. This volume puts deep learning into a larger statistical context and unifies approaches based on deep learning with ones based on probabilistic modeling and inference. With contributions from top scientists and domain experts from places such as Google, DeepMind, Amazon, Purdue University, NYU, and the University of Washington, this rigorous book is essential to understanding the vital issues in machine learning.Covers generation of high dimensional outputs, such as images, text, and graphs Discusses methods for discovering insights about data, based on latent variable models Considers training and testing under different distributionsExplores how to use probabilistic models and inference for causal inference and decision makingFeatures online Python code accompanimentÂ

Objev podobné jako Probabilistic Machine Learning - Kevin P. Murphy

First, let⠙s commend ourselves: how in the midst of a pandemic we faculty stepped up at record speed to teach in such a foreign learning environment. Try we did, adapt we did, and learn we did. But to be clear, and we already recognize this, this past spring was less about distance learning and more about crisis teaching. This time around we have the opportunity to be much more purposeful and intentional, and that⠙s where The Distance Learning Playbook for College and University Instruction will prove absolutely indispensable. Much more than a collection of cool tools and apps, The Distance Learning Playbook for College and University Instruction mobilizes decades of Visible Learning® research to reveal those evidence-based strategies that work best in an online environment. Supplemented by video footage and opportunities to self-assess and reflect, the book addresses every dynamic that must be in place for students to learn, even at a distance: Faculty-student relationships from a distance  Teacher credibility from a distance Teacher clarity from a distance Engaging tasks from a distance Planning learning experiences from a distance Feedback, assessment, and grading from a distance Keeping the focus on learning, from a distance or otherwise What does our post-COVID future hold? We suspect, Fisher, Frey, Almarode, and Hattie write, it will include increased amounts of distance learning. In the meantime, let⠙s seize on what we have learned to improve post-secondary education in any format, whether face-to-face or from a distance. We are all still active faculty members, committed to teaching, scholarship, and service. The unexpected transition to remote learning doesn⠙t mean we no longer know how to teach. We can still impact the lives of our students and know that we made a difference. The Distance Learning Playbook for College and University Instruction will show you how. ~Douglas Fisher, Nancy Frey, John Almarode, and John Hattie

Objev podobné jako The Distance Learning Playbook for College and University Instruction - Douglas Fisher, Nancy Frey, John Hattie, John T. Almarode

Prepares students for Microsoft Exam 70-774-and helps them demonstrate real-world mastery of performing key data science activities with Azure Machine Learning services. Designed for experienced IT students ready to advance their status, Exam Ref focuses on the critical thinking and decision-making acumen needed for success at the MCSA level.

Objev podobné jako Exam Ref 70-774 Perform Cloud Data Science with Azure Machine Learning - Ginger Grant, Tamanaco Francisquez, Pau Sempere, Paco Gonzalez, Julio Granado

Cathy Riessman is the leading figure in narrative research and her new book is a delight. Covering basic issues of transcription and research credibility as well as visual data and engagingly written, it is a goldmine for students and researchers alike. If we want to make narrative research serious and revealing, it is to this book that we should turn.                       ⠔David Silverman, Professor Emeritus, Goldsmiths⠲ College, University of London Narrative Methods for the Human Sciences provides an accessible framework for researchers ⠔ to analyse narrative texts with confidence, empathy, and humility.⠔NARRATIVE INQUIRY This is a terrific book. Cathy Riessman has an encyclopedic knowledge of this field and of the participants in it. This breadth and depth of knowledge is abundantly clear throughout the book. ⠔Susan Bell, Bowdoin College This book has been a great source of inspiration to me and my students, not only for its methodological clarity, but also for the spirit of social activism it engenders. ⠔Ian Baptiste, The Pennsylvania State University Narrative Methods for the Human Sciences is an essential starting point for both students and experienced researchers interested in using narrative analysis in applied or other contexts. Written with admirable clarity, an engaging style, and supported by detailed examples of analysis, the book outlines the main methodological issues and approaches within the exciting and fast-developing field of narrative research. Even researchers already familiar with narrative methods should find the presentation of thematic, structural, dialogic/performance, and visual forms of analysis a fruitful stimulus to new research endeavours. ⠔Brian Roberts, University of Central Lancashire, U.K. I just had to thank you for paving the path for us new and ⠲hopeful⠲ narrative researchers. I have been a student of both your books on narrative analysis, and want to thank you for your guidance from your work, and also your latest book Narrative Methods for the Human Sciences. This work and the references you have chosen for us have helped me immensely during this time in my doctoral program, especially as I enter into the analysis phase. ⠔Maria T. Yelle, nursing doctoral candidate, University of Wisconsin-Madison Narrative Methods for the Human Sciences provides a lively overview of research based on constructing and interpreting narrative. Designed to improve research practice, it gives a detailed discussion of four analytic methods that students can adapt. Author Catherine Kohler Riessman explains how to conduct the four kinds of narrative analysis using model studies from sociology, anthropology, psychology, education and nursing. Throughout the book, she compares different approaches including thematic analysis, structural analysis, dialogic/performance analysis, and visual narrative analysis. The book helps students confront specific issues in their research practice, including how to construct a transcript in an interview study; complexities of working with materials translated from another language; defining narrative segments; relating text and context; locating oneself as the researcher in a responsible way in an inquiry; and arguing for the credibility of the case-based approach. Broad in scope, Narrative Methods for the Human Sciences also offers concrete guidance in individual chapters for students and established scholars wanting to join the narrative turn in social research. Key FeaturesFocuses on four particular methods of narrative analysis: This text provides specific diverse exemplars of good narrative research, as practiced in several social science and human service disciplines. Offers guidance for narrative interviewing: The author discusses the complexities between spoken language and any written transcript. In the process, she encourages students to be mindful of the texts they construct from dialogues among speakers. Presents arguments about validation in case-based research: Riessman presents several ways to think about credibility in narrative studies, contextualizing validity in relation to epistemology and theoretical orientation of a study.Explores the differences between grounded theory methods and narrative analysis: The author clarifies distinctions between inductive thematic coding in grounded theory, and other interpretive approaches, and narrative analysis.Presents social linguistic methods for analyzing oral narrative: This text makes the approach accessible to readers not trained in social linguistics in part by providing rich examples from a number of different disciplines in the social and behavioral sciences. Employs visual methods of analysis: Riessman takes narrative research beyond the spoken or written texts by showing how exemplary researchers have connected participants⠲ words and images made during the research process. She also discusses other research that incorporates found im

Objev podobné jako Narrative Methods for the Human Sciences - Catherine Kohler Riessman