modern data science with r benjamin s baumer nicholas j horton daniel t kaplan

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

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

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

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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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

The Data Vault was invented by Dan Linstedt at the U.S. Department of Defense, and the standard has been successfully applied to data warehousing projects at organizations of different sizes, from small to large-size corporations. Due to its simplified design, which is adapted from nature, the Data Vault 2.0 standard helps prevent typical data warehousing failures. "Building a Scalable Data Warehouse" covers everything one needs to know to create a scalable data warehouse end to end, including a presentation of the Data Vault modeling technique, which provides the foundations to create a technical data warehouse layer. The book discusses how to build the data warehouse incrementally using the agile Data Vault 2.0 methodology. In addition, readers will learn how to create the input layer (the stage layer) and the presentation layer (data mart) of the Data Vault 2.0 architecture including implementation best practices. Drawing upon years of practical experience and using numerous examples and an easy to understand framework, Dan Linstedt and Michael Olschimke discuss: How to load each layer using SQL Server Integration Services (SSIS), including automation of the Data Vault loading processes. Important data warehouse technologies and practices. Data Quality Services (DQS) and Master Data Services (MDS) in ... Unknown localization key: "more"

Objev podobné jako Building a Scalable Data Warehouse with Data Vault 2.0 - Daniel Linstedt, Michael Olschimke

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

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

Selected as a Doody’s Essential Title for 2025! Since its first edition over 60 years ago, Rockwood and Green’s Fractures in Adults has been the go-to reference for treating a wide range of fractures in adult patients. The landmark, two-volume tenth edition continues this tradition with two new international editors, a refreshed mix of contributors, and revised content throughout, bringing you fully up to date with today’s techniques and technologies for treating fractures in orthopaedics. Drs. Paul Tornetta III, William M. Ricci, Robert F. Ostrum, Michael D. McKee, Benjamin J. Ollivere, and Victor A. de Ridder lead a team of experts who ensure that the most up-to-date information is presented in a comprehensive yet easy to digest manner. Follows a templated format throughout, with numerous time-saving treatment algorithms, checklists, charts, and tables for quick reference Presents preoperative planning in convenient checklists; nonoperative treatments, pitfalls, management of adverse outcomes, and operative techniques in easy-to-read tables; detailed “Author’s Preferred Treatment” algorithms, and annotated references for key trials and studies Includes two completely new chapters on Artificial Intelligence and 3D-Guided Surgery in Orthopaedic Trauma, and Regional Anesthesia for Fractures and Dislocations Offers deepened coverage of periprosthetic fractures of the upper extremity, atypical fractures ... Unknown localization key: "more"

Objev podobné jako Rockwood and Green's Fractures in Adults: Print + eBook with Multimedia - Benjamin J., MD Ollivere, Victor A., MD PhD MBA PhD de Ridder, Robert F. Ost

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

In his defining work on emotional intelligence, bestselling author Daniel Goleman found that it is twice as important as other competencies in determining outstanding leadership.If you read nothing else on emotional intelligence, read these 10 articles by experts in the field. We’ve combed through hundreds of articles in the Harvard Business Review archive and selected the most important ones to help you boost your emotional skills—and your professional success.This book will inspire you to:Monitor and channel your moods and emotionsMake smart, empathetic people decisionsManage conflict and regulate emotions within your teamReact to tough situations with resilienceBetter understand your strengths, weaknesses, needs, values, and goalsDevelop emotional agilityThis collection of articles includes: “What Makes a Leader” by Daniel Goleman, “Primal Leadership: The Hidden Driver of Great Performance” by Daniel Goleman, Richard Boyatzis, and Annie McKee, “Why It’s So Hard to Be Fair” by Joel Brockner, “Why Good Leaders Make Bad Decisions” by Andrew Campbell, Jo Whitehead, and Sydney Finkelstein, “Building the Emotional Intelligence of Groups” by Vanessa Urch Druskat and Steve B. Wolff, “The Price of Incivility: Lack of Respect Hurts Morale—and the Bottom Line” by Christine Porath and Christine Pearson, “How Resilience Works” by Diane Coutu, “Emotional Agility: How Effective Leaders ... Unknown localization key: "more"

Objev podobné jako HBR's 10 Must Reads on Emotional Intelligence (with featured article "What Makes a Leader?" by Daniel Goleman)(HBR's 10 Must Reads) - Daniel Goleman,

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

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

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

Learn all about states of matter with Mo the Monster and his friends in this fun first science book for children aged 5+.Mo is getting ready for his birthday this weekend. There''s lots to do: filling balloons, making icy drinks (and clearing up spills) and baking a cake - it''s a perfect time for Mo to find out about changing states of matter!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/TimeStates of matter contentsMo gets wet feet / Solid, liquid or gas? / Material properties / Gas-filled balloons / Liquidbehaviour / Absorbent materials / Melting point / Drying out / Present materials /Dozy''s liquid-to-solid footprints / Chilli mixing / Trouble with melting / Condensation andcake / Glossary / Books to ... Unknown localization key: "more"

Objev podobné jako Learn Science with Mo: States of Matter - Paul Mason

Learn all about life cycles with Mo the Monster and his friends in this fun first science book for children aged 5+.Today, Mo is visiting a farm with his cousin Rory. They are learning about different animals and plants and how they grow and live with each other on the farm. 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/TimeContentsA growing Mo / Baby sheep / Egg to chick / Frogspawn / Worker ants / At the beehive / Bees and flowers / Flowers and plants / Planting time / The cabbage crew / Farm lunch / Foxes, chickens and food chains / From ... Unknown localization key: "more"

Objev podobné jako Learn Science with Mo: Life Cycles - Paul Mason

Learn all about the science of machines with Mo the Monster and his friends in this fun first science book for children aged 5+.Mo and his friends want to build a clubhouse but they have a lot to learn about forces and how machines work before it will be ready. The gang soon discover levers and wedges, pulleys, wheels, screws and much more. 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/TimeContentsMo''s clubhouse Machines and forces Clubhouse plans Transporting materials Levering rocks Measuring and cutting Screwing together the frame Lily gets in gear! Planks and pulleys Different kinds of lever Rescuing Rory! Walls and windows Monster marshmallowsGlossaryBooks to read and places to visitAnswers

Objev podobné jako Learn Science with Mo: Machines - Paul Mason

Learn all about time with Mo the Monster and his friends in this fun first science book for children aged 5+.When Mo is late for a football match he knows it really is time to learn about time! Through the course of a year with Monster FC he is going to learn about minutes, hours, days, seasons, how monsters (and humans) change with time 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/TimeContentsMo misses practice! Dividing the year Dividing days Animals and time Growing Mo More minutes in every match Time and speed Getting old Football in winter A date in ... Unknown localization key: "more"

Objev podobné jako Learn Science with Mo: Time - Paul Mason

Andrew Dickson White, a founding member of Cornell University, released A History of the Warfare of Science with Theology in Christendom in two volumes in 1896. The original purpose of White's 1874 lecture on The Battlefields of Science is stated in the introduction. White expanded on this idea in a book titled The Warfare of Science that same year. He traces the growing separation of science from theology in numerous domains in these books. According to science historian Lawrence M. Principe, "No credible historians of science now continue to support the warfare thesis... The foundations of the warfare thesis may be found in the writings of two persons, John William Draper and Andrew Dickson White, from the late 19th century. Scientists have known for years that White and Draper's claims are more propaganda than history, according to science historian and atheist Ronald Numbers, who wrote in a collection about errors committed by White and others. The "battle" paradigm was based on a terrible oversimplification that required all facets of the history of science and religion to fit into one ill-chosen conceptual box. As a result, many scholars ignored the vast amount of historical information that simply didn't fit into that ... Unknown localization key: "more"

Objev podobné jako A History of the Warfare of Science with Theology in Christendom - Andrew Dickson White

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

Managing people is fraught with challenges—even if you''re a seasoned manager. Here''s how to handle them.If you read nothing else on managing people, read these 10 articles (featuring “Leadership That Gets Results,” by Daniel Goleman). We''ve combed through hundreds of Harvard Business Review articles and selected the most important ones to help you maximize your employees'' performance.HBR''s 10 Must Reads on Managing People will inspire you to:Tailor your management styles to fit your peopleMotivate with more responsibility, not more moneySupport first-time managersBuild trust by soliciting inputTeach smart people how to learn from failureBuild high-performing teamsManage your bossThis collection of best-selling articles includes: featured article "Leadership That Gets Results" by Daniel Goleman, "One More Time: How Do You Motivate Employees?" "The Set-Up-to-Fail Syndrome," "Saving Your Rookie Managers from Themselves," "What Great Managers Do," "Fair Process: Managing in the Knowledge Economy," "Teaching Smart People How to Learn," "How (Un)ethical Are You?" "The Discipline of Teams," and "Managing Your Boss."

Objev podobné jako HBR's 10 Must Reads on Managing People (with featured article "Leadership That Gets Results," by Daniel Goleman) - Daniel Goleman, Kim W.Chan, Harvard

Learn all about plants with Mo the Monster and his friends in this fun first science book for children aged 5+.Mo and his friend are helping out in a nursery today and learning about all about how plants grow and what they need. 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/TimeContentsCrash! Mo feels bad All kinds of plants Watering duty Rain and sunshine LeavesDeciduous and evergreen FlowersBees and insects Fruit and seeds Growing seeds Seedling separation Feeding the trees Plants and the planet GlossaryBooks to read and Places to visit Answers

Objev podobné jako Learn Science with Mo: Plants - Paul Mason

Learn all about materials with Mo the Monster and his friends in this fun first science book for children aged 5+.Mo and his friend Frankie are on a sailing course today. It''s lots of fun and they are also learning a lot about different materials and their properties. 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/TimeContentsMo''s bad day What are materials? Material qualities Sailing kit Dressed for sailing HMS Monster What makes water, water? On tow! Wind in the sails Capsize!Sail windows The bell that doesn''t ding Mo''s missing ice cream GlossaryBooks to read and Places to visit Answers

Objev podobné jako Learn Science with Mo: Materials - Paul Mason

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 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

Learn all about the human body with Mo the Monster and his friends in this fun first science book for children aged 5+.Mo knows very little about human body work, so today he is off to a sports contest to try a few sports himself, and learn about how different body parts work. 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/TimeContentsMonsters and humans Weight-bearing bones Shot put muscle power Hearing for a fast start Top-shot sight Judo-throw messaging Marathon-swimming breathing Sweaty runners Snack time Fuelling road racers Blood transport Mo picks a sport Mo''s training plan GlossaryBooks to read and Places to visit ... Unknown localization key: "more"

Objev podobné jako Learn Science with Mo: Human Body - Paul Mason

Learn all about the human body with Mo the Monster and his friends in this fun first science book for children aged 5+.Mo knows very little about the human body works, so today he is off to a sports contest to try a few sports himself, and learn about how different body parts work. 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/TimeContents Monsters and humans / Weight-bearing bones / Shot put muscle power / Hearing for a fast start / Top-shot sight / Judo-throw messaging / Marathon-swimming breathing / Sweaty runners / Snack time / Fuelling road racers / Blood transport / Mo ... Unknown localization key: "more"

Objev podobné jako Learn Science with Mo: Human Body - Paul Mason

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

Learn all about energy with Mo the Monster and his friends in this fun first science book for children aged 5+.Mo and his cousin Rory are going on a cookery course today! They are going to learn about where the gas that cooks their eggs comes from, what heat does to butter, about the electricity that powers the toaster 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 science puzzles.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/TimeEnergy ContentsEnergy for Mo Energy from the Sun Plant-powered energy Renewable energy Gas-powered eggs Electric toast Hot enough to melt butter Project brownie Electric vs muscle energy The right temperature Ding dong Lights out Where electricity comes from ... Unknown localization key: "more"

Objev podobné jako Learn Science with Mo: Energy - Paul Mason

Tubbz kachnička představuje postavu Benjamina Siska ze seriálu Star Trek v humorném pojetí. Figurka o výšce 9 cm je vyrobena z vinylu a je oficiálně licencovaná. Vhodná pro děti od 6 let, není určena pro použití ve vodě.

• Oficiálně licencovaná figurka Star Trek
• Detailní zpracování postavy Benjamina Siska
• Vyrobeno z kvalitního vinylového materiálu
• První edice pro sběratele

Objev podobné jako Tubbz kachnička Star Trek Benjamin Sisko (první edice)

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

Attention-deficit/hyperactivity disorder (ADHD) is a neurobiological disorder that affects millions of people of all ages worldwide and has effects that ripple through society. Navigating Life with ADHD is a guidebook to help adults with ADHD, parents of children with ADHD, and their caregivers and loved ones thrive.The understanding of ADHD has been evolving: Once seen as a problem of "bad kids with bad parents," today people of all ages and from all walks of life are diagnosed with ADHD. With effective treatment, people with ADHD can have amazing career trajectories and make highly original and valuable contributions to society. But what does it mean to have ADHD? The recognition of ADHD has been increasing steadily, and the American Academy of Neurology is proud to shed light on this topic and bring greater understanding to all involved. Readers will learn about the effects of ADHD on the lives of children and adults with the disorder and how to navigate these effects with loved ones and caregivers. The authors discuss how best to manage the many challenges associated with ADHD holistically: not simply focusing on ADHD but also its relationship to anxiety, depression, sleep disorders, and other commonly co-occurring conditions. Medication and ... Unknown localization key: "more"

Objev podobné jako Navigating Life with ADHD - Benjamin Cheyette, Sarah Cheyette

An Absolute Beginner''s Guide to Learning Data Analysis Using Python, a Demanding Skill for TodayKey FeaturesHands-on learning experience of Python''s fundamentals.Covers various examples of how to code end-to-end data analysis with easy illustrations.An excellent starting point to begin your data analysis journey with Python programming.DescriptionIn an effort to provide content for beginners, the book Data Analysis with Python provides a concrete first step in learning data analysis. Written by a data professional with decades of experience, this book provides a solid foundation in data analysis and numerous data science processes. In doing so, readers become familiar with common Python libraries and straightforward scripting techniques.Python and many of its well-known data analysis libraries, such as Pandas, NumPy, and Matplotlib, are utilized throughout this book to carry out various operations typical of data analysis projects.Following an introduction to Python programming fundamentals, the book combines well-known numerical calculation and statistical libraries to demonstrate the fundamentals of programming, accompanied by many practical examples. This book provides a solid groundwork for data analysis by teaching Python programming as well as Python''s built-in data analysis capabilities.What you will learnLearn the fundamentals of core Python programming for data analysis.Master Python''s most demanding data analysis and visualization libraries, ... Unknown localization key: "more"

Objev podobné jako Data Analysis with Python - Rituraj Dixit

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