dive into data science bradford tuckfield

This beginner''s book will teach you how to apply the principles of data science to improve your business strategies - no math proficiency required! Easy-to-follow chapters take the reader through concepts like A/B testing, supervised and unsupervised machine learning, web scraping, and more. Each concept is illustrated using real-world business applications, real-world data, and useful Python code examples. The tone is conversational, and the author avoids the dense mathematical theories associated with data science in favour of simple explanations and practical applications. By the end of the book, readers should be comfortable working with data, applying data to business problems, and using best practices to analyse data using Python.

Objev podobné jako Dive Into Data Science - Bradford Tuckfield

A practical field guide for the unique challenges of data science leadership, filled with transformative insights, personal experiences, and industry examples.In How to Lead in Data Science you''ll master techniques for leading data science at every seniority level, from heading up a single project to overseeing a whole company''s data strategy. You''ll find advice on plotting your long-term career advancement, as well as quick wins you can put into practice right away.

Objev podobné jako How to Lead in Data Science - Jike Chong, Yue Chang

One of the most creative and influential entrepreneurs of our timeBrains behind the Tesco Clubcard, the first and largest loyalty card globallyA successful pioneer in the data industryWe have heard of the hidden ways in which women are forgotten, unseen, overlooked, and the profound impact this has on us all. Now Edwina Dunn reveals what needs to happen in ourselves, our communities, and workplace to see lasting change.A pioneer in data science research, business and female empowerment, Edwina Dunn uses her knowledge of research and data collection to present solutions, models and simple actions that impact on the lives of women and men. She has listened to women and knows the change we want to see in ourselves, in business, and in academic and government arenas.Let’s talk about what a world where women are empowered looks like and it’s okay for women to embrace ambition and drive. Women represent just over half the world’s population. They are not secondary characters. What if they were empowered to realise their potential in leadership and decision-making roles?Imagine a world of possibilities with equal pay progressions, rather than endless discussions. Let’s see what progress in individual fulfilment and societal change looks like.This data-based guide ... Unknown localization key: "more"

Objev podobné jako When She’s in the Room - Edwina Dunn

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"Bregje Hofstede is an extraordinary writer."—Rutger Bregmans, author of Utopia for Realists and Humankind: A Hopeful HistoryJenny Odell’s How to Do Nothing meets Matthew Walker’s Why We Sleep in this fascinating deep-dive into the science and history of sleep.In Search of Sleep is both a self-help manual for insomniacs, and a sweeping critique of the hustle culture that blinds us to the real reasons we lie awake at night: from politics to pandemics to poverty.Amsterdam-based writer Bregje Hofstede struggled with insomnia for 10 years, but advice from doctors and books always felt lacking in perspective. Wasn’t insomnia more than just an individual struggle? Might it also be a rational reaction to our increasingly turbulent world?Unlike the vast majority of books about sleep, In Search of Sleep examines insomnia as both a physical and psychological condition and an early warning sign that something is off in society. As Hofstede points out, studies show that insomnia increased during the pandemic and that people with less money sleep the worst. She also shows that sleeplessness is tied inextricably to loneliness, while meaningful relationships can provide the security we need to slumber.Interweaving neuroscience, cultural anthropology, history, and interviews with experts, In Search of Sleep ... Unknown localization key: "more"

Objev podobné jako In Search of Sleep - Bregje Hofstede

Take a deep dive into the science surrounding the Antarctic, revealing how scientists work in remote, challenging places, armed with cutting edge research tools and technologies.

Objev podobné jako Scientists in the Wild: Antarctica - Dr Helen Scales, Dr Katharine Hendry

With more than 100 recipes for ice cream flavors and revolutionary mix-ins from a James Beard-nominated pastry chef, Hello, My Name is Ice Cream explains not only how to make amazing ice cream, but also the science behind the recipes so you can understand ice cream like a pro.Hello, My Name is Ice Cream is a combination of three books every ice cream lover needs to make delicious blends: 1) an approchable, quick-start manual to making your own ice cream, 2) a guide to help you think about how flavors work together, and 3) a dive into the science of ice cream with explanations of how it forms, how air and sugars affect texture and flavor, and how you can manipulate all of these factors to create the ice cream of your dreams. The recipes begin with the basics—super chocolately chocolate and Tahitian vanilla—then evolve into more adventurous infusions, custards, sherbets, and frozen yogurt styles. And then there are the mix-ins, simple treats elevated by Cree''s pastry chef mind, including chocolate chips designed to melt on contact once you bite them and brownie bits that crunch.

Objev podobné jako Hello, My Name Is Ice Cream - Dana Cree

In today''s data-driven world, the ability to extract meaningful insights from vast datasets is crucial for success in various fields. This ultimate book for mastering open-source libraries of data science in Python equips you with the essential tools and techniques to navigate the ever-evolving field of data analysis and visualization. Discover how to use Python libraries like NumPy, Pandas, and Matplotlib for data manipulation, analysis, and visualization. This book also covers scientific computing with SciPy and integrates ChatGPT to boost your data science workflow. Designed for data scientists, analysts, and beginners, it offers a practical, hands-on approach to mastering data science fundamentals. With real-world applications and exercises, you will turn raw data into actionable insights, gaining a competitive edge. This book covers everything you need, including open-source libraries, Visual Explorer tools, and ChatGPT, making it a one-stop resource for Python-based data science.

Objev podobné jako Ultimate Data Science Programming in Python - Saurabh Chandrakar

Data science is the foundation of our modern world. It underlies applications used by billions of people every day, providing new tools, forms of entertainment, economic growth, and potential solutions to difficult, complex problems. These opportunities come with significant societal consequences, raising fundamental questions about issues such as data quality, fairness, privacy, and causation. In this book, four leading experts convey the excitement and promise of data science and examine the major challenges in gaining its benefits and mitigating its harms. They offer frameworks for critically evaluating the ingredients and the ethical considerations needed to apply data science productively, illustrated by extensive application examples. The authors'' far-ranging exploration of these complex issues will stimulate data science practitioners and students, as well as humanists, social scientists, scientists, and policy makers, to study and debate how data science can be used more effectively and more ethically to better our world.

Objev podobné jako Data Science in Context - Peter Norvig, Alfred Z. Spector, Jeannette M. Wing, Chris Wiggins

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

Unlock the Power of Data: Transform Your Marketing Strategies with Data Science In the digital age, understanding the symbiosis between marketing and data science is not just an advantage; it's a necessity. In Mastering Marketing Data Science: A Comprehensive Guide for Today's Marketers, Dr. Iain Brown, a leading expert in data science and marketing analytics, offers a comprehensive journey through the cutting-edge methodologies and applications that are defining the future of marketing. This book bridges the gap between theoretical data science concepts and their practical applications in marketing, providing readers with the tools and insights needed to elevate their strategies in a data-driven world. Whether you're a master's student, a marketing professional, or a data scientist keen on applying your skills in a marketing context, this guide will empower you with a deep understanding of marketing data science principles and the competence to apply these principles effectively. Comprehensive Coverage: From data collection to predictive analytics, NLP, and beyond, explore every facet of marketing data science. Practical Applications: Engage with real-world examples, hands-on exercises in both Python & SAS, and actionable insights to apply in your marketing campaigns. Expert Guidance: Benefit from Dr. Iain Brown's decade of experience as he shares ... Unknown localization key: "more"

Objev podobné jako Mastering Marketing Data Science - Iain Brown

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

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

Practical, accessible guide to becoming a data scientist, updated to include the latest advances in data science and related fields. Becoming a data scientist is hard. The job focuses on mathematical tools, but also demands fluency with software engineering, understanding of a business situation, and deep understanding of the data itself. This book provides a crash course in data science, combining all the necessary skills into a unified discipline. The focus of The Data Science Handbook is on practical applications and the ability to solve real problems, rather than theoretical formalisms that are rarely needed in practice. Among its key points are: An emphasis on software engineering and coding skills, which play a significant role in most real data science problems. Extensive sample code, detailed discussions of important libraries, and a solid grounding in core concepts from computer science (computer architecture, runtime complexity, and programming paradigms). A broad overview of important mathematical tools, including classical techniques in statistics, stochastic modeling, regression, numerical optimization, and more. Extensive tips about the practical realities of working as a data scientist, including understanding related jobs functions, project life cycles, and the varying roles of data science in an organization. Exactly the right amount of ... Unknown localization key: "more"

Objev podobné jako The Data Science Handbook - Field Cady

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

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

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

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

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

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

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

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

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 Data Science from Scratch equips you with the essential tools and techniques, from Python libraries to machine learning algorithms, to tackle real-world problems and make informed decisions. This book provides a thorough exploration of essential data science concepts, tools, and techniques. Starting with the fundamentals of data science, you will progress through data collection, web scraping, data exploration and visualization, and data cleaning and pre-processing. You will build the required foundation in statistics and probability before diving into machine learning algorithms, deep learning, natural language processing, recommender systems, and data storage systems. With hands-on examples and practical advice, each chapter offers valuable insights and key takeaways, empowering you to master the art of data-driven decision making.

Objev podobné jako Learn Data Science from Scratch - Pratheerth Padman

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

While data science is powering most modern organisations its technical intricacies often remain confined to a select few.This book is for those starting to work within this field to give them the foundations on which to build their confidence and understanding. Allowing them to contribute to projects through making decisions and acting on them. Written in an accessible manner, Data Science Foundations provides explanations of complex concepts and methods in layman’s terms supported by examples. It also includes a holistic view of data science covering the technical, ethical and delivery challenges illustrated by case studies.Aligned with industry-recognised qualifications, this is the definitive guide for aspiring data scientists, providing a solid foundation in data analysis techniques.

Objev podobné jako Data Science Foundations - Ian Huke, Stephen Mariadas

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

“As Michael Allen points out, old misconceptions seldom die while new ones are conceived daily. He has made an excellent job of refreshing this fourth edition… It is so much more than a collection of fascinating conceptual ''butterflies'', it is a carefully detailed window onto some of children''s science-based thinking.”Mike Watts, Professor of Education, Brunel University, UK“Misconceptions in Primary Science is a comprehensive account of how children learn science and the common misconceptions they may have. It is a detailed and helpful book that all primary teachers should consult before teaching any aspect of science.”Dr James Williams, Reader in Science Education and Communication, University of Sussex, UKMisconceptions in Primary Science remains the go-to resource for primary teachers seeking practical, accessible support to tackle common misconceptions in the science classroom. This updated edition will enhance teachers’ grasp of scientific concepts and offers practical guidance to address the thought processes that can lead children astray.Unlike many primary science books that solely focus on subject knowledge or lesson plans, Michael Allen delves into the origins of over 100 common misconceptions, providing insights into why they arise and how to address them effectively.New features include:•Planning and assessment sheets tailored to each chapter•A new chapter ... Unknown localization key: "more"

Objev podobné jako Misconceptions in Primary Science 4e - Michael Allen

If you are studying forensic science, or a related course such as forensic chemistry or biology, then this book will be an indispensable companion throughout your entire degree programme. This ‘one-stop’ text will guide you through the wide range of practical, analytical and data handling skills that you will need during your studies. It will also give you a solid grounding in the wider transferable skills such as teamwork and study skills. This third edition of Practical Skills in Forensic Science builds upon the excellent foundation of its predecessors and provides an easy-to-read guide to help you develop the skills you need to succeed. It retains the key features of earlier editions, with a layout that explains the essential elements of practical techniques and procedures in a step-by-step manner to help you understand their application in the context of forensic science. Features include: · Coverage of a wide range of practical aspects from fingerprint recovery, trace evidence examination, bodily fluid examination and DNA analysis, as well as broader skills such as tackling numerical problems and passing exams. · Case examples, guidelines for documentation and reporting results, plus advice on the legal aspects of forensic science provide you with an understanding ... Unknown localization key: "more"

Objev podobné jako Practical Skills in Forensic Science - Jonathan Weyers, Allan Jones, Alan Langford, Rob Reed, John Dean

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

Resources designed to support learners of the new next generation BTEC First in Applied Science: Principles of Applied Science specification*. This Revision Guide has been specifically written for externally assessed Unit 1: Principles of science in Award 1 of the Level 2 BTEC Firsts in Applied Science. The guide is organised by the assessment structure of the qualification and gives students guidance on the external assessment. Key point summaries of what candidates should know are included to reinforce teaching. Information is presented in a straightforward, user-friendly way. Worked examples, exam questions, revision practice questions and ''test yourself'' diagnostic questions prepare students for the exams ahead. In addition, the Revision Guide provides students with all the answers to all the questions in the book. * From 2012, Pearson’s BTEC First qualifications have been under re-development, so schools and colleges could be teaching the existing 2010 specification or the new next generation 2012-2013 specification. There are different Student Books to support each specification. If learners are unsure, they should check with their teacher or tutor.

Objev podobné jako Pearson REVISE BTEC First in Applied Science: Principles of Applied Science Unit 1 Revision Guide - for 2026, 2027 exams - Jennifer Stafford-Brown

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

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

NEONAIL Jewels Of The Sea, 7.2 ml, Modeláž nehtů pro ženy, Ponořte se do hlubin moře s odstínem Dive Into Blue od NEONAIL! Gelový lak na nehty NEONAIL Jewels Of The Sea Dive Into Blue vás okouzlí sytým modrým odstínem, který připomíná nekonečnou krásu podmořského světa. Díky dlouhotrvajícímu efektu a lesklému finiši vykouzlíte dokonale upravené nehty, které budou přitahovat pohledy. Tento lak je ideální pro milovnice výrazných barev a perfektní manikúry. Objevte snadnou aplikaci gelového laku, který vydrží bezchybně po dlouhé dny. Podmanivý modrý tón Dive Into Blue bude slušet každé barvě pleti a hodí se jak na běžný den, tak i na speciální příležitosti. Je navíc skvělou volbou pro kreativní nail art nebo moderní minimalistický vzhled. Vlastnosti: dlouhotrvající efekt s lesklým finišem sytý modrý odstín Dive Into Blue snadná aplikace díky gelové textuře ztvrdnutí pomocí LED nebo UV lampy odolnost proti odlupování a poškození vhodné pro všechny typy pleti perfektní pro domácí i profesionální použití Složení: fotoiniciátory pro vytvrzení pod UV/LED lampou akryláty pro vysokou přilnavost pigmenty pro intenzivní a sytou barvu Jak používat: Upravte nehtovou kůžičku a jemně oberte povrch nehtu pilníkem. Poté naneste tenkou vrstvu podkladového gelového laku a vytvrďte jej pod UV nebo LED lampou. Aplikujte ... Unknown localization key: "more"

Objev podobné jako NEONAIL Jewels Of The Sea gelový lak na nehty odstín Dive Into Blue 7.2 ml

Get to grips with the essential topics in chemistry today through 100 key ideas, each explained clearly in just 100 words.Created as part of a series in partnership with The Science Museum, this book introduces 100 key areas of chemistry, such as gas laws, fusion, ionic bonding, DNA and the pH scale, and explains each topic in just 100 words. Perfect for getting your head around big ideas clearly and quickly, or refreshing your knowledge on the fundamentals of how the world works, this book covers the most up-to-date terms and theories and inspires a heightened level of understanding and enjoyment of the core areas of chemistry – as explored in The Science Museum.The essential facts about chemistry, at your fingertips:Real-world examples deftly explain key scientific ideas, covering areas such as noble gases, catalysts, biochemistry and electrolysis in an accessible and exciting way.Perfect as a refresher for chemistry students as well as adult science enthusiasts who want to learn about this exciting field but don’t know where to start.Presented in a beautifully designed package, this is an excellent gift for science lovers and a must-own for enthusiastic students.Chemistry: 100 Ideas in 100 Words will satisfy your scientific curiosity, helping you ... Unknown localization key: "more"

Objev podobné jako The Science Museum Chemistry 100 Ideas in 100 Words - Adrian Dingle

Professional Development in Exercise Science prepares students and complements their extensive academic foundation for a career or professional opportunity within the field of exercise science. This textbook provides students with the knowledge and skills to bridge gaps more effectively between their academic preparation and their chosen profession. There is an extensive array of career and professional options for students within exercise science, and this textbook helps develop a deeper understanding of how to navigate the personal and professional world confidently. The textbook integrates insights from communication, business, leadership, psychology, and exercise science to explore the dynamic interplay between the personal and the professional realms, providing a deeper understanding of the interconnections between the two. This new text, the first of its kind in the field of exercise science, is invaluable reading for all exercise science and kinesiology students. Students aspiring to careers within the discipline and related sub-disciplines, as well as those exploring postgraduate studies, will gain insights into the critical intersections between personal growth and professional achievement.

Objev podobné jako Professional Development in Exercise Science - Christina Beaudoin

An updated edition of the essential guide for all scientists—from undergraduates to senior scholars—who want to produce prose that anyone can understand.  Scientific writing is often dry, wordy, and difficult to understand. But, as biologist and experienced teacher of scientific writing Anne E. Greene shows in Writing Science in Plain English, writers from all scientific disciplines can learn to produce clear, concise prose by mastering just a few simple principles. This short, focused guide presents roughly a dozen such principles based on what readers need to understand complex information, including concrete subjects, strong verbs, consistent terms, organized paragraphs, and correct sentence structure. Greene illustrates each principle with real-life examples of both good and bad writing and shows how bad writing might be improved. She ends each chapter with revision exercises (and provides suggested answers in a separate key) so that readers can come away with new writing skills after just one sitting. To help readers understand the grammatical terms used in the book, an appendix offers a refresher course on basic grammar.  For this second edition, Greene has incorporated the latest research on what makes writing effective and engaging and has revised or replaced exercises and exercise keys ... Unknown localization key: "more"

Objev podobné jako Writing Science in Plain English, Second Edition - Anne E. Greene

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

From scream queens to femmes fatale, horror isn’t just for the boys. Gothic media moguls Meg Hafdahl and Kelly Florence, authors of The Science of Monsters, and co-hosts of the Horror Rewind podcast called “the best horror film podcast out there” by Film Daddy, present a guide to the feminist horror movies, TV shows, and characters we all know and love. Through interviews, film analysis, and bone-chilling discoveries, The Science of Women in Horror uncovers the theories behind women’s most iconic roles of the genre. Explore age-old tropes such as “The Innocent” like Lydia in Beetlejuice, “The Gorgon” like Pamela Voorhees in Friday the 13th, and “The Mother” like Norma Bates in Pyscho and Bates Motel, and delve deeper into female-forward film and TV including: The Haunting of Hill HouseTeethChilling Adventures of SabrinaBuffy the Vampire SlayerAnd so much more! Join Kelly and Meg in The Science of Women in Horror as they flip the script and prove that every girl is a “final girl.”

Objev podobné jako The Science of Women in Horror - Kelly Florence, Meg Hafdahl

This broad, deep, but not-too-technical guide introduces you to the fundamental principles of data science and walks you through the "data-analytic thinking" necessary for extracting useful knowledge and business value from the data you collect.

Objev podobné jako Data Science for Business - Foster Provost

If you are teaching food science, nutrition and dietetics, or a related course, then this book will be an indispensable companion for your students entire degree programme. This ‘one-stop’ text will guide your students through the wide range of practical, analytical and data handling skills that they will need during their studies. It will also give them a solid grounding in wider transferable skills such as teamwork, using information technology, communicating information and study skills. Practical Skills in Food Science, Nutrition and Dietetics provides an easy-to-read guide to help students develop the skills they need to succeed. It explains the essential elements of practical techniques and procedures in a step-by-step manner to help students understand their application in the context of food science, nutrition and dietetics. This text’s unique and comprehensive coverage includes: general advice on practical work; measuring techniques; statistical techniques; analysis and presentation of data; and study skills.

Objev podobné jako Practical Skills in Food Science, Nutrition and Dietetics - Jonathan Weyers, Allan Jones, Rob Reed, William Aspden, Fiona Caple

As a small country on the west coast of Africa, throughout its history Sierra Leone has always embraced diversity – and this willingness to discover and grow has shaped Sierra Leone's rich food culture. Forged by history, people and place, the cuisine is completely unique. Maria Bradford's recipes, inspired by her grandmother's cooking, have at their heart the traditional meals of Maria's childhood, introducing delicious Afro-fusion dishes and flavors. Characterized by key ingredients including tamarind, beans, sesame seeds, mango, chili and pineapple, in Maria's hands these ingredients become something truly special. Moreover, she tells the story of the cuisine and the people, shedding light on everyday life through exclusive location photography. Through her evocative writing and innovative dishes that draw on tradition while melding contemporary influences, Maria's Sweet Salone is a stunning culinary dive into recipes and a culture unmatched anywhere in the world.

Objev podobné jako Sweet Salone - Maria Bradford

What does ′mastery′ look like in primary science? How can teachers plan for, assess and evidence it? This book explores how ‘rich’ learning tasks that enable children to apply, analyse, evaluate, and/or create to solve exciting and novel problems support the development of mastery level knowledge and skills in primary science.  - Outlines how to recognise and use assessment opportunities - Focuses on the development of conceptual understanding - Highlights and demontrates the importance of teacher questioning - Explores the theories behind ′mastery′ for primary science

Objev podobné jako Mastery in primary science - Deborah Wilkinson, Wayne Stallard

The stunning follow-up to the multiple-award-winning anthology of SFF by people of colourOctavia E. Butler said, “There’s nothing new under the sun, but there are new suns.”New Suns 2 brings you fresh visions of the strange, the unexpected, the shocking—breakthrough stories, stories shining with emerging truths, stories that pierce stale preconceptions with their beauty and bravery. Like the first New Suns anthology (winner of the World Fantasy, Locus, IGNYTE, and British Fantasy awards), this book liberates writers of many races to tell us tales no one has ever told.Many things come in twos: dualities, binaries, halves, and alternates. Twos are found throughout New Suns 2, in eighteen science fiction, fantasy, and horror stories revealing daring futures, hidden pasts, and present-day worlds filled with unmapped wonders.Including stories by Daniel H. Wilson, K. Tempest Bradford, Darcie Little Badger, Geetanjali Vandemark, John Chu, Nghi Vo, Tananarive Due, Alex Jennings, Karin Lowachee, Saad Hossain, Hiromi Goto, Minsoo Kang, Tlotlo Tsamaase, Rochita Loenen-Ruiz, Malka Older, Kathleen Alcalá, Christopher Caldwell and Jaymee Goh with a foreword by Walter Mosley and an afterword by Dr. Grace Dillon.

Objev podobné jako New Suns 2 - Daniel H. Wilson, Tananarive Due, Karin Lowachee, John Chu, Darcie Little Badger, Alex Jennings, Nghi Vo, K. Tempest Bradford, Geetanjali

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

YOUR COMPLETE GUIDE TO WRITING AWESOME AND AMAZING FICTION FROM ANOTHER DIMENSION.This is an authoritative and engaging introduction to writing science fiction and fantasy for the complete beginner. This book provides all the information, guidance, and advice you need to write great science fiction to captivate your readers. It will help you understand how the genre works, the big dos and don''ts - as well as giving you the inspiration and motivation you actually need to write. Written by a leading Science Fiction novelist and a Professor in Creative Writing at the University of London - you''ll discover how to let your creativity flow, create incredible worlds, and get your novel finished.ABOUT THE SERIESThe Teach Yourself Creative Writing series helps aspiring authors tell their story. Covering a range of genres from science fiction and romantic novels, to illustrated children''s books and comedy, this series is packed with advice, exercises and tips for unlocking creativity and improving your writing. And because we know how daunting the blank page can be, we set up the Just Write online community at tyjustwrite, for budding authors and successful writers to connect and share.

Objev podobné jako Get Started in Writing Science Fiction and Fantasy - Adam Roberts

Babies will love to look at babies demonstrating natural proficiency in STEM (Science, Technology, Engineering, and Math) skills in this adorable board book series!Babies and toddlers are natural-born scientists. Whether rolling a ball down a slope, stacking blocks and knocking them over, placing toys in a container, group and matching objects into categories, stacking rings according to size, stringing large beads, or throwing their stuffies, STEM Babies are always experimenting with something new. This adorable board book introduces little scientists to the foundations of science and encourages young ones to play and be curious about the world around them. With full-color photographs of babies and toddlers playing, discovering, and inventing, STEM Baby: Science encourages curious young scientists and their parents to tinker and explore the world like a scientist! CELEBRATE STEM SKILLS: Showcases babies’ and toddlers’ natural curiosity and age-level proficiency at science skills like studying and testing! BABIES LOVE TO LOOK AT BABIES: Filled with adorable full-color photos of babies engaging in fun, familiar STEM activities! STURDY BOARD BOOK: Will stand up to years of reading, looking, laughing, and page turning (and even chewing) at home or on the go! COLLECT THEM ALL: Complete the series with STEM BABY: ... Unknown localization key: "more"

Objev podobné jako STEM Baby: Science - Dana Goldberg, Teresa Bonadiddio

This fourth and final Science and Philosophy in the Indian Buddhist Classics volume provides, through extensive passages, a window into the works of the great thinkers from the flowering of philosophy in classical India.This is the second philosophy volume in the Science and Philosophy series. Whereas the first philosophy volume presented the views of the non-Buddhist and Buddhist schools in sequence, the present work selects specific topics for consideration, including the nature of the two truths, the analysis of self, the Yogacara explanation of reality, emptiness in the Madhyamaka tradition, a survey of logic and epistemology, and the Buddhist explanation of language and meaning. Like earlier volumes, it provides, through extensive extracts, a window into the works of the masters of the Nalanda tradition. The final section on language is particularly unique and largely crafted by Thupten Jinpa.

Objev podobné jako Science and Philosophy in the Indian Buddhist Classics, Vol. 4 - Thupten Jinpa, Dechen Rochard

This easy-to-read, user-friendly text explores the full range of basic topics typically covered in research courses in exercise science, kinesiology, and physical education. The book provides the information and skills needed to write effective research proposals and theses; read, assess, interpret, and apply published research; and understand how to conduct basic studies in health, physical education, exercise science, athletic training, and recreation.

Objev podobné jako Essentials of Research Methods in Health, Physical Education, Exercise Science, and Recreation - Kris E. Berg, Richard W. Latin

Dive into the magical world of the night sea in this stunning lift-the-flap picture book.From award-winning illustrator Thea Lu comes a uniquely stunning journey through the night sea. Swooping manta rays, vibrant coral reefs and sleeping whales are just a few of the wonders waiting to be discovered in this eye-catching and atmospheric picture book. Lift the flaps to uncover the secrets of the night sea and fascinating facts about the creatures that live there. What will you discover?

Objev podobné jako Dive, Dive into the Night Sea - Thea Lu

Discover the fundamentals of data science and develop the skills you need for achieving success in this important sector.

Objev podobné jako Confident Data Science - Adam Ross Nelson