statistical analytics for health data science with sas and r set jeffrey wilson ding geng chen karl e peace

Statistical Analytics for Health Data Science with SAS and R Set compiles fundamental statistical principles with advanced analytical techniques and covers a wide range of statistical methodologies. With an emphasis on real-world applications, it integrates publicly available health datasets and provides case studies.

Objev podobné jako Statistical Analytics for Health Data Science with SAS and R Set - Jeffrey Wilson, Ding-Geng Chen, Karl E. Peace

Maximise student engagement and understanding of matrix methods in data-driven applications with this modern teaching package. Students are introduced to matrices in two preliminary chapters, before progressing to advanced topics such as the nuclear norm, proximal operators and convex optimization. Highlighted applications include low-rank approximation, matrix completion, subspace learning, logistic regression for binary classification, robust PCA, dimensionality reduction and Procrustes problems. Extensively classroom-tested, the book includes over 200 multiple-choice questions suitable for in-class interactive learning or quizzes, as well as homework exercises (with solutions available for instructors). It encourages active learning with engaging ''explore'' questions, with answers at the back of each chapter, and Julia code examples to demonstrate how the mathematics is actually used in practice. A suite of computational notebooks offers a hands-on learning experience for students. This is a perfect textbook for upper-level undergraduates and first-year graduate students who have taken a prior course in linear algebra basics.

Objev podobné jako Linear Algebra for Data Science, Machine Learning, and Signal Processing - Jeffrey A. Fessler, Raj Rao Nadakuditi

Foundations of Data Science with Python introduces readers to the fundamentals of data science, including data manipulation and visualization, probability, statistics, and dimensionality reduction. This book is targeted toward engineers and scientists, but it should be readily understandable to anyone who knows basic calculus and the essentials of computer programming. It uses a computational-first approach to data science: the reader will learn how to use Python and the associated data-science libraries to visualize, transform, and model data, as well as how to conduct statistical tests using real data sets. Rather than relying on obscure formulas that only apply to very specific statistical tests, this book teaches readers how to perform statistical tests via resampling; this is a simple and general approach to conducting statistical tests using simulations that draw samples from the data being analyzed. The statistical techniques and tools are explained and demonstrated using a diverse collection of data sets to conduct statistical tests related to contemporary topics, from the effects of socioeconomic factors on the spread of the COVID-19 virus to the impact of state laws on firearms mortality.This book can be used as an undergraduate textbook for an Introduction to Data Science course or to provide a ... Unknown localization key: "more"

Objev podobné jako Foundations of Data Science with Python - John M. Shea

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This book provides the tools, the methods, and the theory to meet the challenges of contemporary data science applied to geographic problems and data. In the new world of pervasive, large, frequent, and rapid data, there are new opportunities to understand and analyze the role of geography in everyday life. Geographic Data Science with Python introduces a new way of thinking about analysis, by using geographical and computational reasoning, it shows the reader how to unlock new insights hidden within data.Key Features:● Showcases the excellent data science environment in Python.● Provides examples for readers to replicate, adapt, extend, and improve.● Covers the crucial knowledge needed by geographic data scientists.It presents concepts in a far more geographic way than competing textbooks, covering spatial data, mapping, and spatial statistics whilst covering concepts, such as clusters and outliers, as geographic concepts.Intended for data scientists, GIScientists, and geographers, the material provided in this book is of interest due to the manner in which it presents geospatial data, methods, tools, and practices in this new field.

Objev podobné jako Geographic Data Science with Python - Dani Arribas-Bel, Sergio Rey, Levi John Wolf

From a review of the first edition: "Modern Data Science with R… is rich with examples and is guided by a strong narrative voice. What’s more, it presents an organizing framework that makes a convincing argument that data science is a course distinct from applied statistics" (The American Statistician).Modern Data Science with R is a comprehensive data science textbook for undergraduates that incorporates statistical and computational thinking to solve real-world data problems. Rather than focus exclusively on case studies or programming syntax, this book illustrates how statistical programming in the state-of-the-art R/RStudio computing environment can be leveraged to extract meaningful information from a variety of data in the service of addressing compelling questions.The second edition is updated to reflect the growing influence of the tidyverse set of packages. All code in the book has been revised and styled to be more readable and easier to understand. New functionality from packages like sf, purrr, tidymodels, and tidytext is now integrated into the text. All chapters have been revised, and several have been split, re-organized, or re-imagined to meet the shifting landscape of best practice.

Objev podobné jako Modern Data Science with R - Benjamin S. Baumer, Nicholas J. Horton, Daniel T. Kaplan

Learn how to use Python and associated data-science libraries to work with and visualize vectors and matrices and their operations, as well import data to apply these techniques. Learn basics of performing vector and matrix operations by hand, how to use several different Python libraries for performing operations.

Objev podobné jako Linear Algebra for Data Science with Python - John M. Shea

Develop a practical understanding of data science with this hands-on textbook for introductory courses. This new edition is fully revised and updated, with an exclusive focus on the popular data science tool Python. The book includes many examples of real-life applications, with practice ranging from small to big data.

Objev podobné jako A Hands-On Introduction to Data Science with Python - Chirag Shah

This brilliant CGP book is the perfect no-nonsense guide for anyone who wants to learn Python. It contains clear notes on all the key programming skills - ideal for Python beginners, GCSE Computer Science students, and as an introduction to Python at A-Level. There are plenty of useful practice questions, fully-worked examples and coding challenges throughout, with full answers included at the back of the book. We've even added over 250 downloadable files covering different areas of Python - they're just the ticket for anyone looking for practical, on-screen practice. If that wasn't enough, there are video solutions to walk you through some of the coding challenges and we've also included a free Online Edition of the entire book - just use the unique code printed inside the cover to gain access. Don't miss our matching Python Programming Cards (9781837741380) to become a real Python pro!

Objev podobné jako Python Programming Guide for GCSE Computer Science with Online Edition, Python Files & Videos - CGP Books

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

Data Science for Business with R, written by Jeffrey S. Saltz and Jeffrey M. Stanton, focuses on the concepts foundational for students starting a business analytics or data science degree program. To keep the book practical and applied, the authors feature a running case using a global airline business’s customer survey dataset to illustrate how to turn data in business decisions, in addition to numerous examples throughout. To aid in usability beyond the classroom, the text features full integration of freely-available R and RStudio software, one of the most popular data science tools available. Designed for students with little to no experience in related areas like computer science, the book chapters follow a logical order from introduction and installation of R and RStudio, working with data architecture, undertaking data collection, performing data analysis, and transitioning to data archiving and presentation. Each chapter follows a familiar structure, starting with learning objectives and background, following the basic steps of functions alongside simple examples, applying these functions to the case study, and ending with chapter challenge questions, sources, and a list of R functions so students know what to expect in each step of their data science course. Data Science for Business with ... Unknown localization key: "more"

Objev podobné jako Data Science for Business With R - Jeffrey Morgan Stanton, Jeffrey S. Saltz

Lead your organization to become evidence-drivenData. It’s the benchmark that informs corporate projections, decision-making, and analysis. But, why do many organizations that see themselves as data-driven fail to thrive? In Leading with AI and Analytics, two renowned experts from the Kellogg School of Management show business leaders how to transform their organization to become evidence-driven, which leads to real, measurable changes that can help propel their companies to the top of their industries.The availability of unprecedented technology-enabled tools has made AI (Artificial Intelligence) an essential component of business analytics. But what’s often lacking are the leadership skills to integrate these technologies to achieve maximum value. Here, the authors provide a comprehensive game plan for developing that all-important human factor to get at the heart of data science: the ability to apply analytical thinking to real-world problems. Each of these tools and techniques comes to powerful life through a wealth of powerful case studies and real-world success stories.Inside, you’ll find the essential tools to help you:Develop a strong data science intuition quotientLead and scale AI and analytics throughout your organizationMove from “best-guess” decision making to evidence-based decisionsCraft strategies and tactics to create real impactWritten for anyone in a leadership or management ... Unknown localization key: "more"

Objev podobné jako Leading with AI and Analytics: Build Your Data Science IQ to Drive Business Value - Eric Anderson, Florian Zettelmeyer

This book presents, for the first time, data analytics for smart infrastructures. The authors draw on over a decadeÂ’s experience working with industry and demonstrating the capabilities of data analytics for infrastructure and asset management. The volume gives data-driven solutions to cover critical capabilities for infrastructure and asset management across three domains: 1) situation awareness 2) predictive analytics and 3) decision support. The reader will gain from various data analytic techniques including anomaly detection, performance evaluation, failure prediction, trend analysis, asset prioritization, smart sensing and real-time/online systems. These data analytic techniques are vital to solving problems in infrastructure and asset management. The reader will benefit from case studies drawn from critical infrastructures such as water management, structural health monitoring and rail networks. This groundbreaking work will be essential reading for those studying and practicing analytics in the context of smart infrastructure.

Objev podobné jako Data Analytics for Smart Infrastructure - Bin Liang, Zhidong Li, Yang Wang, Ting Guo, Hongda Tian, Fang Chen

Add Data and Analytics to Your TD ToolkitInstructional design pro Megan Torrance addresses the importance of instructional designers accessing and applying learning and performance data—from how to design learning experiences with data collection in mind to how to use the data to improve and evaluate those experiences. With the advance of new learning technologies and data specifications, instructional designers have access to more and richer data sources than ever before. With that comes the question of what to do with the data. While most data and analytics books focus on their application for measurement and evaluation and assume a prior baseline understanding of what learning data and analytics mean, Data and Analytics for Instructional Designers delves into the foundational concepts that will enable instructional designers and L&D professionals to use data in their roles. Split into two parts, the book first defines key data and analytics terms, data specifications, learning metrics, and statistical concepts. It then lays out a framework for using learning data for planning how to gather data and to building scale and maturity in your data operations. Megan reassures readers that basic math skills with some computer assistance is what you’ll need to get going. So set ... Unknown localization key: "more"

Objev podobné jako Data and Analytics for Instructional Designers - Megan Torrance

The correct design, analysis and interpretation of plant science experiments is imperative for continued improvements in agricultural production worldwide. The enormous number of design and analysis options available for correctly implementing, analysing and interpreting research can be overwhelming. SAS® is the most widely used statistical software in the world and SAS® OnDemand for Academics is now freely available for academic institutions.This is a user-friendly guide to statistics using SAS® OnDemand for Academics, ideal for facilitating the design and analysis of plant science experiments. It presents the most frequently used statistical methods in an easy-to-follow and non-intimidating fashion, and teaches the appropriate use of SAS® within the context of plant science research. This book:- Covers experimental designs and data analysis protocols- Is presented as a how-to guide with many examples- Includes freely downloadable data sets- Examines key topics such as merging data frames, multivariate analysis and linear regressionAuthored by an experienced teacher of applied plant science statistics, this book assumes no prior background in statistics and guides users through the appropriate methodologies in research. It is an invaluable tool for advanced undergraduate and graduate students, in addition to researchers, extension consultants, faculty and technicians.

Objev podobné jako Applied Plant Science Experimental Design and Statistical Analysis Using SAS® OnDemand for Academics - Associate Professor Edward Durner

Public health has never been more important, or more controversial. What states do, and fail to do, makes a significant difference to the lives we are able to lead. Putting public health first would allow improvements to the health of everyone, especially the worst off. Yet many citizens actively oppose state interference to improve population health, complaining that it encroaches on personal liberty. How should policymakers reconcile these conflicting priorities?This groundbreaking book argues that philosophy is not just useful, but vital, for thinking coherently about priorities in health policy and public policy. Novel, theoretically rigorous, yet practical, Philosophy for Public Health and Public Policy examines why it is so common for public policies to fail in practice to improve the problems they aim to solve, and what to do about this. It argues that a shift to complex systems approaches to policymaking is overdue. Philosophers need to become much more attuned to the contingency and messiness of real world policymaking, and to the ways in which philosophical tools such as thought experiments are frequently unreliable.This book also provides an ethical framework for public health policy. It argues that public health is a right of citizens, alongside more familiar rights such ... Unknown localization key: "more"

Objev podobné jako Philosophy for Public Health and Public Policy - James Wilson

Practical Data Analytics for Innovation in Medicine: Building Real Predictive and Prescriptive Models in Personalized Healthcare and Medical Research Using AI, ML, and Related Technologies, Second Edition discusses the needs of healthcare and medicine in the 21st century, explaining how data analytics play an important and revolutionary role. With healthcare effectiveness and economics facing growing challenges, there is a rapidly emerging movement to fortify medical treatment and administration by tapping the predictive power of big data, such as predictive analytics, which can bolster patient care, reduce costs, and deliver greater efficiencies across a wide range of operational functions. Sections bring a historical perspective, highlight the importance of using predictive analytics to help solve health crisis such as the COVID-19 pandemic, provide access to practical step-by-step tutorials and case studies online, and use exercises based on real-world examples of successful predictive and prescriptive tools and systems. The final part of the book focuses on specific technical operations related to quality, cost-effective medical and nursing care delivery and administration brought by practical predictive analytics.

Objev podobné jako Practical Data Analytics for Innovation in Medicine - Thomas Cahill, Robert Nisbet, Gary D. Miner, Scott Burk, Nephi Walton, Mitchell Goldstein, L

We are drowning in data but are starved for knowledge. Data Analytics is the discipline of extracting actionable insights by structuring, processing, analysing and visualising data using methods and software tools. Hence, we gain knowledge by understanding the data. A roadmap to achieve this is encapsulated in the knowledge discovery in databases (KDD) process. Databases help us store data in a structured way. The structure query language (SQL) allows us to gain first insights about business opportunities. Visualising the data using business intelligence tools and data science languages deepens our understanding of the key performance indicators and business characteristics. This can be used to create relevant classification and prediction models; for instance, to provide customers with the appropriate products or predict the eruption time of geysers. Machine learning algorithms help us in this endeavour. Moreover, we can create new classes using unsupervised learning methods, which can be used to define new market segments or group customers with similar characteristics. Finally, artificial intelligence allows us to reason under uncertainty and find optimal solutions for business challenges. All these topics are covered in this book with a hands-on process, which means we use numerous examples to introduce the concepts and several software ... Unknown localization key: "more"

Objev podobné jako Data Analytics for Business - Wolfgang Garn

There are many webinars and training courses on Data Analytics for Internal Auditors, but no handbook written from the practitioner’s viewpoint covering not only the need and the theory, but a practical hands-on approach to conducting Data Analytics. The spread of IT systems makes it necessary that auditors as well as management have the ability to examine high volumes of data and transactions to determine patterns and trends. The increasing need to continuously monitor and audit IT systems has created an imperative for the effective use of appropriate data mining tools. This book takes an auditor from a zero base to an ability to professionally analyze corporate data seeking anomalies.

Objev podobné jako Data Analytics for Internal Auditors - Richard E. Cascarino

Learn all about forces and magnets with Mo the Monster and his friends in this fun first science book for children aged 5+.Mo and his friend are going on an outdoor-activities holiday and learning about forces like gravity and magnetism by going climbing, skateboarding, rafting, exploring and more. But can Mo stay out of trouble while he''s having so much fun? Don''t count on it!If a monster can understand science, anyone can! Join Mo the Monster as he discovers the basic principles of science. Along the way, Mo is kept focused (monsters are notoriously easily distracted) with the help of simple, clearly presented information, plenty of questions to answer and lots of science puzzles and activities.The funny, colourful illustrations offer lots of scope for humour and interest to keep children engaged while they learn. Aimed at readers aged 5+.Titles in the series: Energy/Forces and Magnets/Habitats/The Human Body/Life Cycles/Light and Shadows/Machines/Materials/States of Matter/Plants/The Seasons/TimeContentsMonster Force Climbing Up A Monster Fall Monster Weight The Force of Friction Floating Forces The Magic of Magnets Monster Magnetism Magnetic Direction-Finding To The Treehouse Splat!A Monster Rescue Real Life Rescue GlossaryBooks to read and places to visit Answers

Objev podobné jako Learn Science with Mo: Forces and Magnets - Paul Mason

To succeed in AI and data science, you must first master APIs. API skills are essential for AI and data science success. With this book, data scientists and software developers will gain hands-on experience developing and using APIs with the Python programming language and popular frameworks like FastAPI and StreamLit.

Objev podobné jako Hands-On APIs for AI and Data Science - Ryan Day

Illustrated with photographs and instructive artwork and including expert advice throughout, SAS and Special Forces Self-Defence is a comprehensive guide to self-defence for both men and women. Written by a former survival instructor of the SAS, SAS and Special Forces Self-Defence provides easy-to-follow, illustrated instructions on coping with all kinds of threatening situations, from muggings to knife attacks. The author teaches you strategies for both avoiding conflict and getting out of a dangerous situation quickly and safely. Learn how mental attitude, body language, assertiveness, and the ability to overcome fear can prevent you from becoming a prime target for criminals. Learn which parts of the body are the most effective weapons in fending off an attacker, and which are the most likely targets for attack. Defend yourself from sudden grabs, strangles, weapons, and road rage. And find out how to deliver the SAS five-second knockout, a defence previously available only to British SAS Special Forces soldiers.

Objev podobné jako SAS and Special Forces Self Defence - John 'Lofty' Wiseman

As data continues to grow exponentially, knowledge of data science and machine learning has become more crucial than ever. Machine learning has grown exponentially; however, the abundance of resources can be overwhelming, making it challenging for new learners. This book aims to address this disparity and cater to learners from various non-technical fields, enabling them to utilize machine learning effectively.Adopting a hands-on approach, readers are guided through practical implementations using real datasets and SAS Enterprise Miner, a user-friendly data mining software that requires no programming. Throughout the chapters, two large datasets are used consistently, allowing readers to practice all stages of the data mining process within a cohesive project framework. This book also provides specific guidelines and examples on presenting data mining results and reports, enhancing effective communication with stakeholders.Designed as a guiding companion for both beginners and experienced practitioners, this book targets a wide audience, including students, lecturers, researchers, and industry professionals from various backgrounds.

Objev podobné jako Data Science and Machine Learning for Non-Programmers - Dothang Truong

A single-volume reference on data science techniques for evaluating and solving business problems using Applied Machine Learning (ML). Applied Machine Learning for Data Science Practitioners offers a practical, step-by-step guide to building end-to-end ML solutions for real-world business challenges, empowering data science practitioners to make informed decisions and select the right techniques for any use case. Unlike many data science books that focus on popular algorithms and coding, this book takes a holistic approach. It equips you with the knowledge to evaluate a range of techniques and algorithms. The book balances theoretical concepts with practical examples to illustrate key concepts, derive insights, and demonstrate applications. In addition to code snippets and reviewing output, the book provides guidance on interpreting results. This book is an essential resource if you are looking to elevate your understanding of ML and your technical capabilities, combining theoretical and practical coding examples. A basic understanding of using data to solve business problems, high school-level math and statistics, and basic Python coding skills are assumed. Written by a recognized data science expert, Applied Machine Learning for Data Science Practitioners covers essential topics, including: Data Science Fundamentals that provide you with an overview of core concepts, laying the ... Unknown localization key: "more"

Objev podobné jako Applied Machine Learning for Data Science Practitioners - Vidya Subramanian

STATISTICAL THINKING FOR NON-STATISTICIANS IN DRUG REGULATION Statistical methods in the pharmaceutical industry are accepted as a key element in the design and analysis of clinical studies. Increasingly, the medical and scientific community are aligning with the regulatory authorities and recognizing that correct statistical methodology is essential as the basis for valid conclusions. In order for those correct and robust methods to be successfully employed there needs to be effective communication across disciplines at all stages of the planning, conducting, analyzing and reporting of clinical studies associated with the development and evaluation of new drugs and devices. Statistical Thinking for Non-Statisticians in Drug Regulation provides a comprehensive in-depth guide to statistical methodology for pharmaceutical industry professionals, including physicians, investigators, medical science liaisons, clinical research scientists, medical writers, regulatory personnel, statistical programmers, senior data managers and those working in pharmacovigilance. The author’s years of experience and up-to-date familiarity with pharmaceutical regulations and statistical practice within the wider clinical community make this an essential guide for the those working in and with the industry. The third edition of Statistical Thinking for Non-Statisticians in Drug Regulation includes: A detailed new chapter on Estimands in line with the 2019 Addendum to ICH E9Major new ... Unknown localization key: "more"

Objev podobné jako Statistical Thinking for Non-Statisticians in Drug Regulation - Richard Kay

Learn how to use R to turn data into insight, knowledge, and understanding. Ideal for current and aspiring data scientists, this book introduces you to doing data science with R and RStudio, as well as the tidyverse-a collection of R packages designed to work together to make data science fast, fluent, and fun. Even if you have no programming experience, this updated edition will have you doing data science quickly.You'll learn how to import, transform, and visualize your data and communicate the results. And you'll get a complete, big-picture understanding of the data science cycle and the basic tools you need to manage the details. Each section in this edition includes exercises to help you practice what you've learned along the way.Updated for the latest tidyverse best practices, new chapters dive deeper into visualization and data wrangling, show you how to get data from spreadsheets, databases, and websites, and help you make the most of new programming tools. You'll learn how to:Visualize-create plots for data exploration and communication of resultsTransform-discover types of variables and the tools you can use to work with themImport-get data into R and in a form convenient for analysisProgram-learn R tools for solving data problems with ... Unknown localization key: "more"

Objev podobné jako R for Data Science - Grolemund Garrett, Hadley Wickham, Mine Cetinkaya-Rundel

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 ... Unknown localization key: "more"

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

Data science and machine learning—two of the world''s hottest fields—are attracting talent from a wide variety of technical, business, and liberal arts disciplines. Python, the world''s #1 programming language, is also the most popular language for data science and machine learning. This is the first guide specifically designed to help students with widely diverse backgrounds learn foundational Python so they can use it for data science and machine learning. This book is catered to introductory-level college courses on data science. Leading data science instructor and practitioner Kennedy Behrman first walks through the process of learning to code for the first time with Python and Jupyter notebook, then introduces key libraries every Python data science programmer needs to master. Once students have learned these foundations, Behrman introduces intermediate and applied Python techniques for real-world problem-solving. Throughout, Foundational Python for Data Science presents hands-on exercises, learning assessments, case studies, and more—all created with Colab (Jupyter compatible) notebooks, so students can execute all coding examples interactively without installing or configuring any software.

Objev podobné jako Foundational Python for Data Science - Kennedy Behrman

The SAS is probably the world’s greatest elite military unit and its soldiers are renowned for their ability to cope when under great physical and mental stress. Now you can acquire the unique range of skills taught to members of the Special Air Service through the SAS and Special Forces Fitness Training. Written by an expert author, this book offers a total fitness programme for both body and mind. Special exercises and routines will help the reader improve strength, stamina and agility. There are also chapters on diet and nutrition, to help the trainee’s body gain the maximum benefit from eating the right food and drink. The chapters on mental agility and self-defence teach the trainee to cope with the challenges of modern combat, the SAS way. Illustrated with black-and-white photographs and instructive artworks and including expert advice throughout, SAS and Special Forces Fitness Training is an exhaustive, lively guide to achieving a level of fitness that will match the world’s elite military soldiers.

Objev podobné jako SAS and Special Forces Fitness Training - John 'Lofty' Wiseman

The SAS is one of the world’s greatest elite military units and its soldiers are renowned for their ability to cope when under great physical and mental stress. Now you can acquire the unique range of skills taught to members of the Special Air Service through the SAS & Special Forces Fitness Training. Written by an expert author, this book offers a total fitness programme for both body and mind.Special exercises and routines will help the reader improve strength, stamina and agility. There are also chapters on diet and nutrition, to help the trainee’s body gain the maximum benefit from eating the right food and drink. The chapters on mental agility and self-defence teach the trainee to cope with the challenges of modern combat, the SAS way.Illustrated with black-and-white photographs and instructive artworks and including expert advice throughout, SAS & Special Forces Fitness Training is an exhaustive, lively guide to achieving a level of fitness that will match the world’s elite military soldiers.

Objev podobné jako SAS and Special Forces Fitness Training - John Wiseman

Graphs are the natural way to understand connected data. This book explores the most important algorithms and techniques for graphs in data science, with practical examples and concrete advice on implementation and deployment. In Graph Algorithms for Data Science you will learn: Labeled-property graph modeling Constructing a graph from structured data such as CSV or SQL NLP techniques to construct a graph from unstructured data Cypher query language syntax to manipulate data and extract insights Social network analysis algorithms like PageRank and community detection How to translate graph structure to a ML model input with node embedding models Using graph features in node classification and link prediction workflows Graph Algorithms for Data Science is a hands-on guide to working with graph-based data in applications like machine learning, fraud detection, and business data analysis. It''s filled with fascinating and fun projects, demonstrating the ins-and-outs of graphs. You''ll gain practical skills by analyzing Twitter, building graphs with NLP techniques, and much more. You don''t need any graph experience to start benefiting from this insightful guide. These powerful graph algorithms are explained in clear, jargon-free text and illustrations that makes them easy to apply to your own projects. about the technology Graphs reveal ... Unknown localization key: "more"

Objev podobné jako Graph Algorithms for Data Science - Bratanic Tomaz

Feel confident navigating the fundamentals of data science Data Science Essentials For Dummies is a quick reference on the core concepts of the exploding and in-demand data science field, which involves data collection and working on dataset cleaning, processing, and visualization. This direct and accessible resource helps you brush up on key topics and is right to the point—eliminating review material, wordy explanations, and fluff—so you get what you need, fast. Strengthen your understanding of data science basicsReview what you've already learned or pick up key skillsEffectively work with data and provide accessible materials to othersJog your memory on the essentials as you work and get clear answers to your questions Perfect for supplementing classroom learning, reviewing for a certification, or staying knowledgeable on the job, Data Science Essentials For Dummies is a reliable reference that's great to keep on hand as an everyday desk reference.

Objev podobné jako Data Science Essentials For Dummies - Lillian Pierson

CONNECT IT Set Klávesnice+myš FOR HEALTH Combo, bezdrátová, černá Prevence proti syndromu karpálního tunelu CONNECT IT FOR HEALTH Combo je ergonomický set klávesnice a myši, který je určený jako prevence proti syndromu karpálního tunelu. TriMode připojení Set nabízí možnost připojení až na tři zařízení díky technologii TriMode (2x BT 5.1 + 2.4 GHz wireless). Pro domácí i profesionální použití Je vhodný pro domácí použití i pro vysoko zátěžové profesionální použití v kancelářích a firmách. CZ+SK lokalizace Set je vybaven CZ+SK lokalizací (české a slovenské znaky). Specifikace klávesnice Technologie kláves: Membránové Velikost klávesnice: 100% Numerická klávesnice: Ano Specifikace myši Senzor DPI: 800/1200/1600/2400 Typ senzoru: Optický Použití: Pro praváky Počet tlačítek: 6 Napájení Napájení klávesnice: 2x AAA (součástí balení) Napájení myši: 1x AA (součástí balení) Připojení Typ připojení: Bezdrátové Bezdrátové RF 2.4GHz: Ano Bluetooth: Ano Verze USB: 1.1 a vyšší Kompatibilita Operační systém: Windows, MacOS Velikost a Váha Velikost klávesnice: 434 x 195 x 45 mm Váha klávesnice: 655 g Velikost myši: 105 x 74 x 57 mm Váha myši: 75 g

Objev podobné jako CONNECT IT Set Klávesnice+myš FOR HEALTH Combo, bezdrátová, černá

SAS and Special Forces Mental Toughness Training is an essential guide to testing and improving mental agility and resilience in the modern combat environment, now in a mini flexi format. This book examines what it takes to be as mentally fit as a special forces soldier. It explains why it is equally important to focus on diet, rest patterns, and mental discipline as it is to concentrate on push-ups, sit-ups, and other physical exercises. Using simple steps, the book shows the reader how they can build up their endurance over a matter of weeks and months, and how their quality of life will benefit. SAS and Special Forces Mental Toughness Training demonstrates how you can gain the psychological edge over your opponent, as well as ready yourself for critical challenges ahead. Whether you are competing in unarmed combat sports, running a marathon, or just looking to get ahead, this guide will have helpful and practical advice for you. Exercises such as positive thinking and visualizations and memory games are explored as ways of dealing with solitude, depression, anger management, and torture when in crisis situations.

Objev podobné jako SAS and Special Forces Mental Toughness Training - Chris McNab

Statistical Methods for Geography is the essential introduction for geography students looking to fully understand and apply key statistical concepts and techniques. Now in its fifth edition, this text is an accessible statistics ‘101’ focused on student learning, and includes definitions, examples, and exercises throughout. Fully integrated with online self-assessment exercises and video overviews, it explains everything required to get full credits for any undergraduate statistics module. The fifth edition of this bestselling text includes:·        Coverage of descriptive statistics, probability, inferential statistics, hypothesis testing and sampling, variance, correlation, regression analysis, spatial patterns, spatial data reduction using factor analysis and cluster analysis.·        New examples from physical geography and additional real-world examples.·        Updated in-text and online exercises along with downloadable datasets. This is the only text you’ll need for undergraduate courses in statistical analysis, statistical methods, and quantitative geography.  Â

Objev podobné jako Statistical Methods for Geography - Peter A. Rogerson

Let Python do the heavy lifting for you as you analyze large datasets Python for Data Science For Dummies lets you get your hands dirty with data using one of the top programming languages. This beginner’s guide takes you step by step through getting started, performing data analysis, understanding datasets and example code, working with Google Colab, sampling data, and beyond. Coding your data analysis tasks will make your life easier, make you more in-demand as an employee, and open the door to valuable knowledge and insights. This new edition is updated for the latest version of Python and includes current, relevant data examples. Get a firm background in the basics of Python coding for data analysisLearn about data science careers you can pursue with Python coding skillsIntegrate data analysis with multimedia and graphics Manage and organize data with cloud-based relational databasesPython careers are on the rise. Grab this user-friendly Dummies guide and gain the programming skills you need to become a data pro.

Objev podobné jako Python for Data Science For Dummies - John Paul Mueller, Luca Massaron

Fast Python for Data Science is a hands-on guide to writing Python code that can process more data, faster, and with less resources. It takes a holistic approach to Python performance, showing you how your code, libraries, and computing architecture interact and can be optimized together. Written for experienced practitioners, Fast Python for Data Science dives right into practical solutions for improving computation and storage efficiency. You''ll experiment with fun and interesting examples such as rewriting games in lower-level Cython and implementing a MapReduce framework from scratch. Finally, you''ll go deep into Python GPU computing and learn how modern hardware has rehabilitated some former antipatterns and made counterintuitive ideas the most efficient way of working. About the technologyFast, accurate systems are vital for handling the huge datasets and complex analytical algorithms that are common in modern data science. Python programmers need to boost performance by writing faster pure-Python programs, optimizing the use of libraries, and utilizing modern multi-processor hardware; Fast Python for Data Science shows you how.

Objev podobné jako Fast Python for Data Science - Tiago Antao

This second edition of Digital Analytics for Marketing provides students with a comprehensive overview of the tools needed to measure digital activity and implement best practices when using data to inform marketing strategy. It is the first text of its kind to introduce students to analytics platforms from a practical marketing perspective.Demonstrating how to integrate large amounts of data from web, digital, social, and search platforms, this helpful guide offers actionable insights into data analysis, explaining how to "connect the dots" and "humanize" information to make effective marketing decisions. The authors cover timely topics, such as social media, web analytics, marketing analytics challenges, and dashboards, helping students to make sense of business measurement challenges, extract insights, and take effective actions. The bookÂ’s experiential approach, combined with chapter objectives, summaries, and review questions, will engage readers, deepening their learning by helping them to think outside the box.Filled with engaging, interactive exercises and interesting insights from industry experts, this book will appeal to undergraduate and postgraduate students of digital marketing, online marketing, and analytics.Online support materials for this book include an instructorÂ’s manual, test bank, and PowerPoint slides.

Objev podobné jako Digital Analytics for Marketing - A. Karim Feroz, Marshall Sponder, Gohar F. Khan

**2025 PROSE Award Finalist in Environmental Science**Applied Statistical Modelling for Ecologists provides a gentle introduction to the essential models of applied statistics: linear models, generalized linear models, mixed and hierarchical models. All models are fit with both a likelihood and a Bayesian approach, using several powerful software packages widely used in research publications: JAGS, NIMBLE, Stan, and TMB. In addition, the foundational method of maximum likelihood is explained in a manner that ecologists can really understand. This book is the successor of the widely used Introduction to WinBUGS for Ecologists (Kéry, Academic Press, 2010). Like its parent, it is extremely effective for both classroom use and self-study, allowing students and researchers alike to quickly learn, understand, and carry out a very wide range of statistical modelling tasks. The examples in Applied Statistical Modelling for Ecologists come from ecology and the environmental sciences, but the underlying statistical models are very widely used by scientists across many disciplines. This book will be useful for anybody who needs to learn and quickly become proficient in statistical modelling, with either a likelihood or a Bayesian focus, and in the model-fitting engines covered, including the three latest packages NIMBLE, Stan, and TMB.

Objev podobné jako Applied Statistical Modelling for Ecologists - Marc Kery, Kenneth F. Kellner

Clinical trials have become essential research tools for evaluating the benefits and risks of new interventions for the treatment and prevention of diseases, from cardiovascular disease to cancer to AIDS. Based on the authorsÂ’ collective experiences in this field, Introduction to Statistical Methods for Clinical Trials presents various statistical topics relevant to the design, monitoring, and analysis of a clinical trial. After reviewing the history, ethics, protocol, and regulatory issues of clinical trials, the book provides guidelines for formulating primary and secondary questions and translating clinical questions into statistical ones. It examines designs used in clinical trials, presents methods for determining sample size, and introduces constrained randomization procedures. The authors also discuss how various types of data must be collected to answer key questions in a trial. In addition, they explore common analysis methods, describe statistical methods that determine what an emerging trend represents, and present issues that arise in the analysis of data. The book concludes with suggestions for reporting trial results that are consistent with universal guidelines recommended by medical journals. Developed from a course taught at the University of Wisconsin for the past 25 years, this textbook provides a solid understanding of the statistical approaches used in ... Unknown localization key: "more"

Objev podobné jako Introduction to Statistical Methods for Clinical Trials

Sasha''s father sells magic potions. ThereÂ’s only one problem: his potions donÂ’t work. In order to keep the family shop open, Sasha has to take magic into her own hands. When greedy Vadim Gentry orders a potion of persuasion from the Juicy Gizzard, Sasha is suspicious. But it''s not until he slips it into Papa''s drink and orders him to sell the shop that Sasha realizes the problem: If Papa says no, Vadim will know their potions don''t work, but if Papa says yes, theyÂ’ll lose the shop forever! Either way, Sasha has a big problem to fix.

Objev podobné jako Sasha and Puck and the Brew for Brainwash - Daniel Nayeri

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 ... Unknown localization key: "more"

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

Learn all about light with Mo the Monster and his friends in this fun first science book for children aged 5+.Mo is a little bit afraid of the dark, but today he is going the funfair and learning all about light and shadows. He and his friend Sid find out about sources of light, how light travels and reflects, while having fun in the hall of mirrors and watching a puppet show and much more. But can Mo stay out of trouble while he''s having so much fun? Don''t count on it!If a monster can understand science, anyone can! Join Mo the Monster as he discovers the basic principles of science. Along the way, Mo is kept focused (monsters are notoriously easily distracted) with the help of simple, clearly presented information, plenty of questions to answer and lots of science puzzles and activities.The funny, colourful illustrations offer lots of scope for humour and interest to keep children engaged while they learn. Aimed at readers aged 5+.Titles in the series: Energy/Forces and Magnets/Habitats/The Human Body/Life Cycles/Light and Shadows/Machines/Materials/States of Matter/Plants/The Seasons/TimeContentsLearning about light Light sources Blocking light Shadow games Fun with mirrors Rainbow shadows Light rays Mirror tricks The changing moon ... Unknown localization key: "more"

Objev podobné jako Learn Science with Mo: Light and Shadows - Paul Mason

Maximize performance with better data Developing a successful workforce requires more than a gut check. Data can help guide your decisions on everything from where to seat a team to optimizing production processes to engaging with your employees in ways that ring true to them. People analytics is the study of your number one business asset—your people—and this book shows you how to collect data, analyze that data, and then apply your findings to create a happier and more engaged workforce. Start a people analytics projectWork with qualitative dataCollect data via communications Find the right tools and approach for analyzing data If your organization is ready to better understand why high performers leave, why one department has more personnel issues than another, and why employees violate, People Analytics For Dummies makes it easier.Â

Objev podobné jako People Analytics For Dummies - Mike West

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

STATISTICAL METHODS FOR PSYCHOLOGY surveys the statistical techniques commonly used in the behavioral and social sciences, especially psychology and education. To help students gain a better understanding of the specific statistical hypothesis tests that are covered throughout the text, author David Howell emphasize conceptual understanding. Along with significantly updated discussions of effect size and meta-analysis, this Eighth Edition continues to focus on two key themes that are the cornerstones of this book''s success: the importance of looking at the data before beginning a hypothesis test, and the importance of knowing the relationship between the statistical test in use and the theoretical questions being asked by the experiment.

Objev podobné jako Statistical Methods for Psychology - Lord David Howell

Sasha''s father sells magic potions. ThereÂ’s only one problem: his potions donÂ’t work. In order to keep the family shop open, Sasha has to take magic into her own hands. When greedy Vadim Gentry orders a potion of persuasion from the Juicy Gizzard, Sasha is suspicious. But it''s not until he slips it into Papa''s drink and orders him to sell the shop that Sasha realizes the problem: If Papa says no, Vadim will know their potions don''t work, but if Papa says yes, theyÂ’ll lose the shop forever! Either way, Sasha has a big problem to fix.

Objev podobné jako Sasha and Puck and the Brew for Brainwash - Daniel Nayeri

Leadership for Health Professionals: Theory, Skills, and Applications, Fourth Edition is the first textbook of its kind to apply classical knowledge of leadership theory and time-honored best practices of industry leaders to a health organization context. This comprehensive and well-organized text is grounded in real-world applications of theoretical concepts, and focuses on practical examples of leadership in actual healthcare scenarios. Themes such as organizational culture, cultural competency, ethical frameworks and moral practice, scientific methodology, and leader competencies are woven through the entire text. The authors' perspective focuses on the most pertinent leadership content, theories, models, principles, and strategies that produce results in the health industry. The authors - now with the updated fourth edition and new coauthors who bring physician practice, nursing practice, and executive health insurance practice into the text - have put many of these theories and models into practice during the course of successful practitioner careers. With more than 80 years of combined experience leading people in complex organizations, the authors hope to impart that experience to the next generation of health leaders in a way that is both meaningful and useful to scholars and practicing health professionals.

Objev podobné jako Leadership for Health Professionals: Theory, Skills, and Applications - Gerald R. Ledlow, Thomas Maryon, Michele Bosworth

An understanding of values, ethics and rights is key to good practice. This book introduces these fundamental topics in an accessible style appropriate for all health and social care students and professionals.This book serves as an indispensable resource for both health and social care students and professionals, providing a comprehensive introduction to the foundational principles of values, ethics, and rights. Offering a clear and accessible approach, it equips readers with the necessary knowledge to maintain exemplary professional standards, especially in demanding situations. Emphasising the significance of these principles as the cornerstone of effective practice, it underscores their importance before delving into clinical skills.The book adeptly navigates through intricate ideas, encompassing crucial aspects such as individual safety, consent, confidentiality, and the maintenance of professional boundaries. Throughout, it includes exercises and opportunities for constructive debate and discussion, ensuring a thorough understanding of these critical concepts.

Objev podobné jako Values, Ethics and Rights for Health and Social Care - Phil Musson

Learn data science with Python by building five real-world projects! In Data Science Bookcamp you’ll test and build your knowledge of Python and learn to handle the kind of open-ended problems that professional data scientists work on daily. Downloadable data sets and thoroughly-explained solutions help you lock in what you’ve learned, building your confidence and making you ready for an exciting new data science career. about the technologyIn real-world practice, data scientists create innovative solutions to novel open ended problems. Easy to learn and use, the Python language has become the de facto language for data science amongst researchers, developers, and business users. But knowing a few basic algorithms is not enough to tackle a vague and thorny problem. It takes relentless practice at cracking difficult data tasks to achieve mastery in the field. That’s just what this book delivers. about the book Data Science Bookcamp is a comprehensive set of challenging projects carefully designed to grow your data science skills from novice to master. Veteran data scientist Leonard Apeltsin sets five increasingly difficult exercises that test your abilities against the kind of problems you’d encounter in the real world. As you solve each challenge, you’ll acquire and expand the ... Unknown localization key: "more"

Objev podobné jako Data Science Bookcamp - Leonard Apeltsin

Fuel curiosity, spark imagination.Science Bug International is an exciting and comprehensive science programme that has been designed to make sure your children never stop asking questions about their world!The Topic Book includes fun and engaging practical activities as well as opportunities for consolidation and reflection making it perfect for use inside and outside the classroom.With full and comprehensive coverage of the skills and knowledge required for curriculum attainment, Science Bug International will help you to nurture and inspire your young scientist.

Objev podobné jako Science Bug: Magnets and forces Topic Book - Deborah Herridge, Tanya Shields