data science in context peter norvig alfred z spector jeannette m wing chris wiggins

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

A sweeping history of data and its technical, political and ethical impact on our world

Objev podobné jako How Data Happened - Chris Wiggins, Matthew L. Jones

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

Alfred Gratien brut
sběratelská kachnička Ghostbusters Peter Venkman
detailní design kachničky Peter Venkman
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stavebnice Star Wars X-Wing pro děti od 13 let
model X-Wing Starfighter s 44 díly a obtisky
Revell X-Wing s odnímatelným podvozkem a stojánkem
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kabelka pro dámu

Thelong-anticipated revision of ArtificialIntelligence: A Modern Approach explores the full breadth and depth of the field of artificialintelligence (AI). The 4th Edition brings readers up to date on the latest technologies,presents concepts in a more unified manner, and offers new or expanded coverageof machine learning, deep learning, transfer learning, multi agent systems,robotics, natural language processing, causality, probabilistic programming,privacy, fairness, and safe AI.

Objev podobné jako Artificial Intelligence: A Modern Approach, Global Edition - Stuart Russell, Peter Norvig

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

We are in an age of big data where all of our everyday interactions and transactions generate data. Much of this data is spatial – it is collected some-where – and identifying analytical insight from trends and patterns in these increasing rich digital footprints presents a number of challenges.Whilst other books describe different flavours of Data Analytics in R and other programming languages, there are none that consider Spatial Data (i.e. the location attached to data), or that consider issues of inference, linking Big Data, Geography, GIS, Mapping and Spatial Analytics. This is a ‘learning by doing’ textbook, building on the previous book by the same authors, An Introduction to R for Spatial Analysis and Mapping. It details the theoretical issues in analyses of Big Spatial Data and developing practical skills in the reader for addressing these with confidence.

Objev podobné jako Geographical Data Science and Spatial Data Analysis - Chris Brunsdon, Lex Comber

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

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

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

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

A first science series that introduces young readers to basic science principles in a friendly and accessible way. Early scientific skills are taught through a combination of experiments, activities and key questions, designed to get young scientists thinking!Everyday Materials introduces readers to different materials and their properties.

Objev podobné jako Ways Into Science: Everyday Materials - Peter Riley

The conflict between science and religion seems indelible, even eternal. Surely two such divergent views of the universe have always been in fierce opposition? Actually, that's not the case, says Peter Harrison: our very concepts of science and religion are relatively recent, emerging only in the past three hundred years, and it is those very categories, rather than their underlying concepts, that constrain our understanding of how the formal study of nature relates to the religious life. In The Territories of Science and Religion, Harrison dismantles what we think we know about the two categories, then puts it all back together again in a provocative, productive new way. By tracing the history of these concepts for the first time in parallel, he illuminates alternative boundaries and little-known relations between them thereby making it possible for us to learn from their true history, and see other possible ways that scientific study and the religious life might relate to, influence, and mutually enrich each other. A tour de force by a distinguished scholar working at the height of his powers, The Territories of Science and Religion promises to forever alter the way we think about these fundamental pillars of human life and ... Unknown localization key: "more"

Objev podobné jako The Territories of Science and Religion - Peter Harrison

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

Svět bez SPIDER-MANA! Petr Parker a jeho přátelé odcestovali do paralelní časové linie, kterou řídí Norman Osborn coby svrchovaný vládce! Může Petr věřit jednomu z největších padouchů historie, že pomůže všechno napravit? A to neví, že ho v naší realitě čeká ještě větší problém – zastavit Vedomi, svaz umělé inteligence odhodlaný vyhubit celé lidstvo. Zvládne to? A za jakou cenu? A pak se připravte na příběh, ve kterém vystupuje Sandman… ale je to zcela jiný příběh, než určitě čekáte. Je to příběh, kde padouchovo střetnutí se Spider-Manem zapluje do nezvykle temných vod. No a ve finále náš čeká speciální epizoda – mladý filmař se rozhodl natočit dokument o tom, jaký má Spider-Man vliv na lidi v ulicích New Yorku… ale nemá nejmenší tušení, na co může při svém natáčení narazit! Obsahuje sešity Peter Parker: The Spectacular Spider-Man (2017) č. 304–310, od Chipa Zdarskyho, Adama Kuberta, Juana Frigeriho, Chrise Bachala, Jasona Keitha a Andrewa Crossleyho.

Objev podobné jako Peter Parker Spectacular Spider-Man 4 - Návrat domů - Chris Bachalo, Chip Zdarsky, Adam Kubert, Juan Frigeri

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 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

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

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

A detailed knowledge and understanding of data are an important part of training and practice in the day-to-day management of patients in intensive care. This book is aimed to aid in the education of trainees, providing a source of clinical data, with questions and answers, enabling them to test and develop their interpretation skills.

Objev podobné jako Data Interpretation in Critical Care Medicine - Bala Venkatesh, T. J. Morgan, Shane Townsend, Chris Joyce

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

Plastiková modelářská stavebnice Revell BANDAI SW 01200 představuje X-Wing Starfighter z filmové série Star Wars v měřítku 1:72. Sada obsahuje 44 dílů, figurku pilota a droida, odnímatelný podvozek a vystavovací stojánek. Model je určen pro modeláře od 13 let a neobsahuje barvy ani lepidlo.

• Autentický model X-Wing Starfighter v měřítku 1:72 s vysokou úrovní detailu
• Obsahuje pilotní figurku, droida, odnímatelný podvozek a vystavovací stojánek
• Dvě varianty obtisků (samolepky nebo vodní) pro personalizaci modelu
• Věrně zachycuje ikonické prvky jako čtyři laserová děla a protonová torpéda

Objev podobné jako Revell Plastic ModelKit BANDAI SW 01200 - X-Wing Starfighter (1 : 72)

Dive deep into the natural world with this adventure-packed collection of investigations that invites kids to explore engaging science questions through hands-on discovery.Why learn indoors when the wild beckons? While classrooms and online platforms are vital, nothing beats the interaction of nature and science. Science in the Wild isn’t just about learning; It’s a journey to immerse yourself in the natural world, satisfying your curiosity with thrilling investigations like these: Stardust Seekers: Embark on a hunt for micrometeorites, space fragments that regularly fall to Earth.A Gooey Gathering: Use a century-old technique to discover nocturnal arthropod species and their unique behaviors in the dark.Sweet Sinkholes: Build a sinkhole model demonstrating the rapid changes in the Earth’s surface.Squirmy Decisions: Delve into earthworm behavior, observing their interactions in different environments.Minibeast Mansions: Build miniature habitats, understanding animal behavior in intricate ecosystems.Potato Pitfall: Observe creatures that have fallen into your trap of a decomposing potato.Through these and other captivating investigations, you’ll master inquiry skills vital to scientists. From manipulating materials and data collection to deciphering the intricate patterns of the wild, you’ll navigate through real-world experiments just like ecologists, meteorologists, geologists, physicists, and other specialists!Key features include: 52 Experiments: Engage in more than 50 immersive ... Unknown localization key: "more"

Objev podobné jako Science in the Wild - Dr. Erica L. Colon

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

Statistical methods are a key part of data science, yet few data scientists have formal statistical training. Courses and books on basic statistics rarely cover the topic from a data science perspective. The second edition of this popular guide adds comprehensive examples in Python, provides practical guidance on applying statistical methods to data science, tells you how to avoid their misuse, and gives you advice on what's important and what's not.Many data science resources incorporate statistical methods but lack a deeper statistical perspective. If you're familiar with the R or Python programming languages and have some exposure to statistics, this quick reference bridges the gap in an accessible, readable format.With this book, you'll learn:Why exploratory data analysis is a key preliminary step in data scienceHow random sampling can reduce bias and yield a higher-quality dataset, even with big dataHow the principles of experimental design yield definitive answers to questionsHow to use regression to estimate outcomes and detect anomaliesKey classification techniques for predicting which categories a record belongs toStatistical machine learning methods that "learn" from dataUnsupervised learning methods for extracting meaning from unlabeled data

Objev podobné jako Practical Statistics for Data Scientists - Peter Bruce, Andrew Bruce, Peter Gedeck

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

Macroeconomics in Context lays out the principles of macroeconomics in a manner that is thorough, up to date, and relevant to students. Like its counterpart, Microeconomics in Context, the book is uniquely attuned to economic, social, and environmental realities. The “In Context” books offer engaging coverage of current topics including policy responses to recession and inflation, inequality, deficits and government debt, economic impacts of the COVID-19 pandemic, and the economics of environmental sustainability.This fourth edition includes:Improved and concise discussions of introductory topics, especially on key economic activities, macroeconomic goals, and economic modelsFurther emphasis on inequality, environmental sustainability, financialization, the changing nature of work, and international developments such as the role of transnational corporations and supply chain issuesDiscussion of the impacts of the COVID-19 pandemic on macroeconomic factors like well-being, inequality, and labor marketsPresentation of policy issues in historical, environmental, institutional, social, political, and ethical contexts, including an updated discussion of fiscal policy in relation to the Biden administration’s infrastructure and social investment spendingClear explanations of basic economic concepts alongside more in-depth analysis of macroeconomics models and economic activityThis book combines real-world relevance with a thorough grounding in multiple economic paradigms. It is the ideal textbook for modern introductory courses in ... Unknown localization key: "more"

Objev podobné jako Macroeconomics in Context - Jonathan M. Harris, Brian Roach, Pratistha Joshi Rajkarnikar, Neva Goodwin, Mariano Torras, Julie A. Nelson

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

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

This book explores translation’s role in shaping the knowledge-sharing processes that were and are seminal to scientific endeavour. It considers the mechanisms by which eighteenth- and nineteenth-century European science writing travelled within and beyond its home continent and non-European science was taken up in a colonial context. Using insights from fields of research including book history and textual studies to investigate the paratextual framing, stylistic choices, rhetorical devices and modes of expression deployed by scientific writers—key to shaping a work’s credibility and its author’s integrity—it argues that translators are central, yet largely overlooked, mediators in this creative process. Encompassing West Africa, China, the Middle East, India, South America, Europe and the Ottoman Empire, this volume comprises case studies working with around a dozen different languages to gain a sense of how scientific narratives were evolving both within and across an increasingly global intellectual commons in a key period in the development of the natural sciences, medicine, and technology. Part of the Science and Technology Studies series, the volume will be indispensable for scholars and researchers of science and technology studies, philosophy of science, translation studies, gender studies, English literature, and philosophy in general.

Objev podobné jako Translating Science in the 18th and 19th Centuries

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

''Just the sort of creative prompts any cook could use right now'' - The Wall Street Journal''A fascinating, thought provoking, palette-teasing read for anyone interested in food'' - New York Journal of Books''We build tools to create culinary happiness'' - Foodpairing.com ''There is a world of exciting flavour combinations out there and when they work it''s incredibly exciting'' - Heston BlumenthalFoodpairing is a method for identifying which foods go well together, based on groundbreaking scientific research that combines neurogastronomy (how the brain perceives flavour) with the analysis of aroma profiles derived from the chemical components of food.This groundbreaking new book explains why the food combinations we know and love work so well together (strawberries + chocolate, for example) and opens up a whole new world of delicious pairings (strawberries + parmesan, say) that will transform the way we eat. With ten times more pairings than any other book on flavour, plus the science behind flavours explained, Foodpairing will become THE go-to reference for flavour and an instant classic for anyone interested in how to eat well.Contributors:Astrid Gutsche and Gaston Acurio - Astrid y Gaston - PeruAndoni Luiz Aduriz - Mugaritz - SpainHeston Blumenthal - The Fat Duck - UKTony Conigliaro ... Unknown localization key: "more"

Objev podobné jako The Art & Science of Foodpairing - Peter Coucquyt, Bernard Lahousse, Johan Langenbick

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

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

It''s the revolutionary science study guide just for middle school students from the brains behind Brain Quest.Everything You Need to Ace Science . . . takes readers from scientific investigation and the engineering design process to the Periodic Table; forces and motion; forms of energy; outer space and the solar system; to earth sciences, biology, body systems, ecology, and more. The BIG FAT NOTEBOOKâ„¢ series is built on a simple and irresistible conceit-borrowing the notes from the smartest kid in class. There are five books in all, and each is the only book you need for each main subject taught in middle school: Math, Science, American History, English Language Arts, and World History. Inside the reader will find every subject''s key concepts, easily digested and summarized: Critical ideas highlighted in neon colours. Definitions explained. Doodles that illuminate tricky concepts in marker. Mnemonics for memorable shortcuts. And quizzes to recap it all. The BIG FAT NOTEBOOKS meet Common Core State Standards, Next Generation Science Standards, and state history standards, and are vetted by National and State Teacher of the Year Award-winning teachers. They make learning fun, and are the perfect next step for every kid who grew up on Brain Quest.

Objev podobné jako Everything You Need to Ace Science in One Big Fat Notebook (UK Edition) - Workman Publishing

This popular textbook covers how the built environment and the management of energy relate to the quality of human living-conditions and the environmental performance of buildings. It is the key introductory text for understanding the principles and theories of the environmental science behind construction, and the only text on the market to provide the basic scientific principles of such a broad range of topics. The text covers a range of areas in the field, including climate change, energy management, and sustainability in construction, with an important focus on contemporary environmental topics such as carbon, lifetime performance and rating schemes. The author is known for his extremely clear, finely crafted text, and the book offers a wealth of excellent worked examples.This text is designed to be useful, at all levels, to students and practitioners of architecture, construction studies, building services, surveying, and environmental science. New to this Edition:- Expansion upon the environmental narrative with coverage of contemporary topics such as carbon, lifetime performance and rating schemes- Additional figures, images and sub-topics in chapters - An updated section on building services to give a broader understanding of modern building services equipment options, specifications and performance implications- Inclusion of a new section which ... Unknown localization key: "more"

Objev podobné jako Environmental Science in Building - Randall McMullan

Across seven original tales from master of science fiction Peter F. Hamilton, Manhattan in Reverse offers captivating glimpses into incredible worlds – with characters old and new.''Each short story has enough ideas for a whole novel'' – Ken Follett, author of The Pillars of the EarthFollowing the events of Judas Unchained, Paula Myo returns. In the title story Manhattan in Reverse, the detective is on the case of a species believed to be without sentience – until it attacks the human colonisers. And, in The Demon Trap, Paula is dispatched to investigate a terrorist attack – and a motive that will be hard to unravel. Elsewhere, Watching Trees Grow tells of a murder in an alternative 1800s Oxford, and The Forever Kitten raises questions of eternal youth – and the sacrifices required to pursue it.With all his usual brilliantly conceived storytelling, Peter F. Hamilton’s talents are on full display in Manhattan in Reverse.

Objev podobné jako Manhattan in Reverse - Peter F. Hamilton

A hilarious new picture book from Roald Dahl Funny Prize-winning author Peter Bently and the incredibly talented illustrator John Bond, creators of Dogs in Disguise.A fun-filled look into the chaotic world of cats and all the crazy things they get up to when their owners aren’t looking!In the dark of night, as their owners sleep, the cats of the city are all headed to one place: Catsby’s Great Circus! Step this way and see conjuring cats, felines that fly, Siamese that swing from above, and don’t miss the mighty PURRCULES CLAW. But with so much activity, it only takes one little mouse in the wrong place to put the whole circus in chaos…This jaunty rhyming text from hugely popular, award-winning author, Peter Bently, with brilliantly witty illustrations from John Bond, creator of the Mini Rabbit books, will have children laughing out loud!

Objev podobné jako Cats in Chaos - Peter Bently

Cambridge Checkpoint Lower Secondary Science Stage 8 is endorsed by Cambridge Assessment International Education. Practise and consolidate knowledge gained from the Student''s Book with this, write-in workbook full of corresponding learning activities. - Save time when planning with ready-made homework or extension exercises.- Reinforce student''s understanding of key scientific concepts with varied question types, quizzes and the use of ICT.- Challenge learners with extra practice activities to encourage regular self-assessment.

Objev podobné jako Cambridge Checkpoint Lower Secondary Science Workbook 8 - Peter Riley

Cambridge Checkpoint Lower Secondary Science Stage 7 is endorsed by Cambridge Assessment International Education.Practise and consolidate knowledge gained from the Student''s Book with this, write-in workbook full of corresponding learning activities. - Save time when planning with ready-made homework or extension exercises.-Reinforce student''s understanding of key scientific concepts with varied question types, quizzes and the use of ICT.- Challenge learners with extra practice activities to encourage regular self-assessment.

Objev podobné jako Cambridge Checkpoint Lower Secondary Science Workbook 7 - Peter Riley

Scientists around the world rise up for climate and ecological justice In April 2022, hundreds of scientists rose in civil disobedience, breaking the law in more than twenty-eight countries. Risking arrest, they glued their hands to roads, blocked government and corporate buildings, and chained themselves to the White House fence. In Science in Resistance, Fernando Racimo provides a first-person account of the Scientist Rebellion, a growing international movement of researchers stepping beyond conventional roles to alert the public about the need for action in the climate emergency. Combining personal stories, interviews with frontline activists, and insights from research on direct action and academia, he explores the challenges scientists face when taking a stand for climate and social justice. Reflecting on his role as a scientist-activist, Racimo describes how he came to be involved in the movement. He also explores the many ways in which academic institutions today are complicit in climate breakdown—whether by accepting funding from and collaborating with the very industries driving it, or by discouraging scientists from speaking up. Drawing on lessons from political science, psychology, ecology, sociology, and the history of science, this inspiring book shows how we can all take a stand for climate justice, by ... Unknown localization key: "more"

Objev podobné jako Science in Resistance - Fernando Racimo

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

Peter Cook has been a pivotal figure within the architecture world for over half a century. He first came to international renown in the 1960s as a founder of the radical, experimental group Archigram, winners of the 2002 RIBA Royal Gold Medal. He is also former Director of the Institute of Contemporary Arts (ICA), London, and Emeritus Professor and former Chair of the Bartlett School of Architecture (University College London). Suffused with Peter’s infectious energy, enthusiasm and charm, this intriguing memoir explores major themes in architecture through the lens of his life and work. Taking the reader on a journey through his colourful and wide-ranging career, it touches on his early years and architectural education, his relationships with key figures within the architecture community and his work teaching and lecturing internationally. It also provides an inside account of his leadership of the Bartlett, for which he is frequently credited as a central figure in rescuing the reputation of a once-ailing, now world-famous, school of architecture. Featuring full-colour images of his most famous drawings, including Archigram’s ‘Plug-in City’, and built works, such as the Kunsthaus Graz in Austria and the Vienna Economics and Business University’s Department of Law and Central Administration ... Unknown localization key: "more"

Objev podobné jako Lives in Architecture: Peter Cook - Peter Cook

A collection of essays on Scottish witchcraft and witch-hunting, which covers the whole period of the Scottish witch-hunt, from the mid-sixteenth century to the early eighteenth. Includes studies of particular witchcraft panics such as a reassessment of the role of King James VI. Covers a wide range of topics concerned with Scottish witch-hunting and places it in the context of other topics such as gender relations, folklore, magic and healing, and moral regulation by the church and state. Provides a comparative dimension of witch-hunting beyond Scotland - one on the global context, and one comparing Scotland with England. It is a showcase for the latest thinking on the subject and will be of interest to all scholars studying witchcraft in early modern Europe, as well as the general reader wanting to move beyond shallow and sensational accounts of a subject of compelling in.

Objev podobné jako The Scottish Witch-Hunt in Context