causal inference for data science aleix de villa

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

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 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

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

Objev podobné jako Graph Algorithms for Data Science - Bratanic Tomaz

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

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

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

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

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

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

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

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

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

A concise and self-contained introduction to causal inference, increasingly important in data science and machine learning.The mathematization of causality is a relatively recent development, and has become increasingly important in data science and machine learning. This book offers a self-contained and concise introduction to causal models and how to learn them from data.After explaining the need for causal models and discussing some of the principles underlying causal inference, the book teaches readers how to use causal models: how to compute intervention distributions, how to infer causal models from observational and interventional data, and how causal ideas could be exploited for classical machine learning problems. All of these topics are discussed first in terms of two variables and then in the more general multivariate case. The bivariate case turns out to be a particularly hard problem for causal learning because there are no conditional independences as used by classical methods for solving multivariate cases. The authors consider analyzing statistical asymmetries between cause and effect to be highly instructive, and they report on their decade of intensive research into this problem. The book is accessible to readers with a background in machine learning or statistics, and can be used in graduate courses ... Unknown localization key: "more"

Objev podobné jako Elements of Causal Inference - Bernhard Scholkopf, Jonas Peters, Dominik Janzing

In this book, author Matheus Facure explains the untapped potential of causal inference for estimating impacts and effects.

Objev podobné jako Causal Inference in Python - Matheus Facure

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

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

Virtually all journal articles in the factor investing literature make associational claims, instead of causal claims. This Element analyzes the current state of causal confusion and proposes solutions with the potential to transform factor investing into a truly scientific discipline. This title is also available as Open Access on Cambridge Core.

Objev podobné jako Causal Factor Investing - Marcos M. Lopez de Prado

Deka - celoroční, rozměry 130 × 170 cm, bílá a hnědá barva Deka Villa Collection přijde vhod v celé řadě situací. Nejen že zahřeje, ale i pohladí a rovněž vyčaruje ve vašem domově příjemnou atmosféru. Je možné ji pohodlně používat jak v letních, tak zimních měsících. Jejímu vzhledu dominuje bílá a hnědá barva. Deka měří 130 × 170 cm. Hlavní přednosti produktu Villa Collection Deka 130x170cm Brown/White Deka Villa Collection je hebkým společníkem, který se osvědčí v celé řadě situací Ideální v jakémkoliv ročním období Výrobek měří 130 × 170 cm Barva deky Villa Collection je bílá a hnědá

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Lyžařské brýle (i na snowboard) dámské dětské, velikost M Lyžařské brýle Relax De-Vil zelené by měl vlastnit každý lyžař k ochraně očí. Tento typ lyžařských brýlí bude vyhovovat ženám. Lyžařské brýle jsou přizpůsobeny pro děti. Zrcadlové brýle využijete nejvíce na místech, kde celý den září slunce. Světelná propustnost brýlí na lyže Relax patří do skupiny S2 a S3. Potřebujete-li při jízdě použít dioptrické brýle, s těmito lyžařskými brýlemi to nebude problém. Tento typ lyžařských brýlí je ošetřen speciální vrstvou, díky které se snižuje riziko zamlžení. Velikost brýlí je M. Dostanete k nim také látkový obal pro jejich ochranu při cestování. Zásadní funkce lyžařských brýlí Relax De-Vil zelené Brýle zajišťují maximální komfort a bezpečí při lyžování Relax De-Vil zelené se hodí pro ženy Relax De-Vil zelené byly přizpůsobeny pro děti Typ zorníku: zrcadlový Ideální podmínky: univerzální VLT těchto brýlí odpovídá 18-42 % Využít je lze i s dioptrickými brýlemi...

Objev podobné jako Relax De-Vil zelené (HTG65)

Lyžařské brýle (i na snowboard) dámské dětské, velikost M Brýle na lyže Relax De-Vil modré jsou nezbytnou výbavou každého lyžaře, aby mohl během jízdy chránit svůj zrak. Tento typ lyžařských brýlí bude vyhovovat ženám. Tento typ lyžařských brýlí je speciálně navržený pro všechny děti. Zrcadlové brýle využijete nejvíce na místech, kde po celý den svítí slunce. Světelná propustnost brýlí na lyže Relax se řadí do skupiny S2 a S3. Pokud při jízdě musíte použít dioptrické brýle, určitě vás potěší, že jsou k tomu lyžařské brýle přizpůsobeny. Tento typ lyžařských brýlí je ošetřen speciální vrstvou, která snižuje zamlžování. Velikost brýlí se rovná M. Jejich součástí je také látkový obal pro jejich ochranu při přenosu. Podstatné parametry lyžařských brýlí Relax De-Vil modré Lyžařské brýle zajistí potřebný komfort a ochranu zraku při lyžování Relax De-Vil modré jsou vyrobeny pro ženy Relax De-Vil modré byly přizpůsobeny pro děti Typ zorníku: zrcadlový Ideální...

Objev podobné jako Relax De-Vil modré (HTG65G)

Lyžařské brýle (i na snowboard) dámské dětské, velikost M Lyžařské brýle Relax De-Vil růžové by si měl koupit každý lyžař, aby mohl bezpečně jezdit. Lyžařské brýle se hodí pro ženy. Lyžařské brýle jsou určené pro děti. Zrcadlové brýle se budou hodit tam, kde vás bude slunce oslňovat celý den. Světelná propustnost lyžařských brýlí Relax se řadí do skupiny S2 a S3. Potřebujete-li při jízdě použít dioptrické brýle, určitě oceníte, že jsou tomu lyžařské brýle přizpůsobené. Lyžařské brýle obsahují speciální vrstvu , díky které redukují zamlžení. Brýle jsou velikosti M. Mimo samotných brýlí obdržíte látkový obal pro jejich ochranu při přenosu. Rozhodující přednosti lyžařských brýlí Relax De-Vil růžové Lyžařské brýle se postarají o komfort při lyžování a budou chránit váš zrak Relax De-Vil růžové jsou vhodné pro ženy Relax De-Vil růžové vyhovují dětem Typ zorníku: zrcadlový Ideální podmínky pro používání: univerzální VLT u těchto brýlí činí 18-42 % Můžete použít i...

Objev podobné jako Relax De-Vil růžové (HTG65F)

Lyžařské brýle (i na snowboard) dámské dětské, velikost M Brýle na lyžování Relax De-Vil bílé by měl používat každý lyžař, aby mohl bez starostí jezdit. Tyto lyžařské brýle jsou speciálně navrženy pro ženy. Lyžařské brýle jsou vyrobeny pro děti. Zrcadlové brýle nejvíce využijete na místech, kde vás slunce bude provázet celý den. Světelná propustnost brýlí na lyže Relax se řadí do skupiny S2 a S3. Pokud budete při jízdě využívat dioptrické brýle, jistě oceníte, že jsou tomu lyžařské brýle přizpůsobené. Tyto lyžařské brýle mají speciální vrstvu, díky které se redukuje zamlžení. Brýle mají velikost M. Mimo samotných brýlí dostanete také látkový obal pro jejich ochranu při přenosu. Zajímavé přednosti lyžařských brýlí Relax De-Vil bílé Brýle zajišťují maximální komfort a bezpečí při lyžování Relax De-Vil bílé se hodí pro ženy Relax De-Vil bílé se hodí se pro děti Typ zorníku: zrcadlový Ideální podmínky pro používání: univerzální VLT těchto brýlí je 18-42 % Můžete...

Objev podobné jako Relax De-Vil bílé (HTG65H)

LEGO® ǀ Disney Padouši 43262 Šaty Zloby a Cruelly De Vil Inspirujte fanoušky Disney od 9 let ke kreativitě se LEGO® ǀ Disney (43262) stavebnicí Šaty Zloby a Cruelly De Vil. Model se skládá ze sestavitelných šatů slavných záporaček z disneyovek, 2 stojanů na šaty a podstavce na vystavení se skrytým prostorem pro minipanenky LEGO ǀ Disney, jejich mazlíčky a doplňky. S touto nádhernou stavebnicí si můžete postavit hned 3 různé výstavní modely a součástí jsou také dílky s profily Zloby a Cruelly De Vil. Tato pokročilá stavebnice ze světa Disney ohromí starší děti a přinese jim zábavné herní možnosti. Lze ji kombinovat s dalšími stavebnicemi LEGO ǀ Disney (prodávají se samostatně) a poslouží jako skvělý výstavní kousek. Děti i dospělí fanoušci si zamilují tyto propracované šaty a užijí si společné chvilky při stavění zábavné stavebnice s motivem dvou slavných disneyovských záporaček. Stavitelé se můžou těšit na nenáročný a intuitivní stavitelský zážitek s aplikací LEGO Builder. V ní si lze přibližovat a otáčet modely ve 3D, ukládat stavebnice a sledovat postup.Stavebnice LEGO® ǀ Disney na hraní i na výstavku pro fandy Tato stavebnice LEGO® ǀ Disney se skládá z 524 dílků a model měří přes 24 cm na výšku, 10 ... Unknown localization key: "more"

Objev podobné jako LEGO® Disney 43262 Šaty Zloby a Cruelly De Vil

LEGO® Disney 43262 – Šaty Zloby a Cruelly De VilPonořte se do světa temné elegance s LEGO® Disney stavebnicí Šaty Zloby a Cruelly De Vil. Tato kreativní sada pro děti od 9 let zaujme propracovanými detaily, dvěma ikonickými outfity záporaček a stylovým podstavcem pro vystavení. Perfektní dárek pro milovníky módy, Disney postav a výrazného designu!Proč si ji zamilujete Dvě sestavitelné šaty inspirované Zlobou a Cruellou De Vil Podstavec s úložným prostorem pro minipanenky a jejich mazlíčky 2 stojany na šaty a dekorativní dílky s profily postav Možnost vystavení a přizpůsobení podle vlastního stylu Ideální pro společné tvoření dětí i dospělých fanoušků Disney Co rozvíjí Kreativitu a estetické cítění při skládání módních detailů Jemnou motoriku při manipulaci s drobnými dílky Trpělivost a soustředění při stavění a úpravách modelů Osobní vyjádření skrze výběr šatů, doplňků a vystavení Obsah balení a parametry 524 dílků 2 minipanenky LEGO® ǀ Disney: Zloba a Cruella De Vil 2 sestavitelné šaty, 2 stojany, podstavec na vystavení s úložným prostorem Dílky pro zdobení a profilové motivy postav Rozměry modelu: 24 × 10 × 10 cm (v × š × h) Vhodné pro děti od 9 let Podporováno aplikací LEGO® Builder (3D návod, sledování postupu) Stylový a zábavný dárek ... Unknown localization key: "more"

Objev podobné jako Šaty Zloby a Cruelly de Vil - LEGO® Disney (43262)

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 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

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

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

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

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

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

Objev podobné jako The Data Science Handbook - Field Cady

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

Science, engineering, and technology permeate nearly every facet of modern life and hold the key to solving many of humanity's most pressing current and future challenges. The United States' position in the global economy is declining, in part because U.S. workers lack fundamental knowledge in these fields. To address the critical issues of U.S. competitiveness and to better prepare the workforce, A Framework for K-12 Science Education proposes a new approach to K-12 science education that will capture students' interest and provide them with the necessary foundational knowledge in the field. A Framework for K-12 Science Education outlines a broad set of expectations for students in science and engineering in grades K-12. These expectations will inform the development of new standards for K-12 science education and, subsequently, revisions to curriculum, instruction, assessment, and professional development for educators. This book identifies three dimensions that convey the core ideas and practices around which science and engineering education in these grades should be built. These three dimensions are: crosscutting concepts that unify the study of science through their common application across science and engineering; scientific and engineering practices; and disciplinary core ideas in the physical sciences, life sciences, and earth and space sciences ... Unknown localization key: "more"

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

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

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

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

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

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

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

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

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

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

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

Módní stavebnice pro děti s padouchy – Inspirujte holky a kluky od 9 let sestavitelnou stavebnicí Šaty Zloby a Cruelly De Vil, která zažehne jiskru kreativity Zábavná stavebnice – 2 sestavitelné šaty, 2 stojany na šaty a podstavec na vystavení s prostorem pro minipanenky LEGO®

Objev podobné jako LEGO® │ Disney 43262 Šaty Zloby a Cruelly De Vil

Inspirujte fanoušky Disney od 9 let ke kreativitě se LEGO® | Disney (43262) stavebnicí Šaty Zloby a Cruelly De Vil.

Objev podobné jako LEGO® Disney™ 43262 Šaty Zloby a Cruelly De Vil

This book attempts to advance Donald Griffin''s vision of the "final, crowning chapter of the Darwinian revolution" by developing a philosophy for the science of animal consciousness. It advocates a Darwinian bottom-up approach that treats consciousness as a complex, evolved, and multidimensional phenomenon in nature rather than a mysterious all-or-nothing property immune to the tools of science and restricted to a single species.The so-called emergence of a science of consciousness in the 1990s has at best been a science of human consciousness. This book aims to advance a true Darwinian science of consciousness in which its evolutionary origin, function, and phylogenetic diversity are moved from the fieldÂ’s periphery to its very centre, thus enabling us to integrate consciousness into an evolutionary view of life. Accordingly, this book has two objectives: (i) to argue for the need and possibility of an evolutionary bottom-up approach that addresses the problem of consciousness in terms of the evolutionary origins of a new ecological lifestyle that made consciousness worth having and (ii) to articulate a thesis and beginnings of a theory of the place of consciousness as a complex evolved phenomenon in nature that can help us to answer the question of what it is ... Unknown localization key: "more"

Objev podobné jako A Philosophy for the Science of Animal Consciousness - Walter Veith

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

Please note this title is suitable for any student studying:Exam Board: AQA Level: GCSE Subject: Biology for Combined Science (Trilogy)First teaching: September 2016 First exams: June 2018The UK''s bestselling GCSE Science series is specifically tailored for the current AQA GCSE Science (9-1) specifications. This workbook is the perfect companion for use throughout the course, supporting students on their journey from KS3 to success at GCSE. Stretches and challenges students sitting the higher tier for AQA Combined Science: Trilogy GCSETopics follow the order of the Student Book, with carefully designed questions to help capture important notes as students work through the courseActivities help develop higher-order skills and deepen understanding of key conceptsIncludes questions and activities specifically focused on the required maths and practical skillsIncludes hints to help students answer difficult questionsChecklists help students to monitor their own progress

Objev podobné jako AQA GCSE Biology for Combined Science (Trilogy) Workbook: Higher - Gemma Young

Please note this title is suitable for any student studying:Exam Board: AQA Level: GCSE Subject: Chemistry for Combined Science (Trilogy)First teaching: September 2016 First exams: June 2018The UK''s bestselling GCSE Science series is specifically tailored for the current AQA GCSE Science (9-1) specifications. This workbook is the perfect companion for use throughout the course, supporting students on their journey from KS3 to success at GCSE. Stretches and challenges students sitting the higher tier in AQA GCSE Combined Science: TrilogyTopics follow the order of the Student Book, with carefully designed questions to help capture important notes as students work through the courseActivities help develop higher-order skills and deepen understanding of key conceptsIncludes questions and activities specifically focused on the required maths and practical skillsIncludes hints to help students answer difficult questionsChecklists help students to monitor their own progress

Objev podobné jako AQA GCSE Chemistry for Combined Science (Trilogy) Workbook: Higher - Philippa Gardom Hulme

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

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

Exam Board: AQALevel & Subject: GCSE Combined Science: SynergyFirst teaching: September 2016 Next exams: June 2026AQA approvedThis book covers Unit 2 of the new 2016 GCSE Combined Science: Synergy course. The grouping of content follows that in the specification. Topic openers set the scene by providing a short overview of the links between the different chapters in a Topic. Linking questions between spreads and from chapter to chapter also help explain the narrative thread that links a Synergy topic together. Working Scientifically objectives linked to the AQA Combined Science: Synergy specification are identified, and questions addressing Working Scientifically skills embedded throughout.* Each spread is divided into three sections – starting with language, ideas and questions that are accessible to all and increasing in complexity to develop and practise ideas further.* Key concept spreads highlight core ideas that students must grasp before they can move on, and which will develop their understanding of the whole topic.* A dedicated spread for every required practical helps students analyse the practical, reflect on the science skills and knowledge they have developed and apply these skills to different contexts.* Maths skills spreads focus on the maths requirements of the AQA Combined Science specification, explaining concepts ... Unknown localization key: "more"

Objev podobné jako AQA GCSE Physical Sciences for Combined Science: Synergy 9-1 Student Book - Katy Bloom

Exam Board: AQALevel & Subject: GCSE Combined Science: SynergyFirst teaching: September 2016 Next exams: June 2026AQA approvedThis book covers Unit 1 of the new 2016 GCSE Combined Science: Synergy course. The grouping of content follows that in the specification. Topic openers set the scene by providing a short overview of the links between the different chapters in a Topic. Linking questions between spreads and from chapter to chapter also help explain the narrative thread that links a Synergy topic together. Working Scientifically objectives linked to the AQA Combined Science: Synergy specification are identified, and questions addressing Working Scientifically skills embedded throughout.* Each spread is divided into three sections – starting with language, ideas and questions that are accessible to all and increasing in complexity to develop and practise ideas further.* Key concept spreads highlight core ideas that students must grasp before they can move on, and which will develop their understanding of the whole topic.* A dedicated spread for every required practical helps students analyse the practical, reflect on the science skills and knowledge they have developed and apply these skills to different contexts.* Maths skills spreads focus on the maths requirements of the AQA Combined Science specification, explaining concepts ... Unknown localization key: "more"

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

Please note this title is suitable for any student studying:Exam Board: AQA Level: GCSE Subject: Chemistry for Combined Science (Trilogy) - Foundation tierFirst teaching: September 2016 First exams: June 2018The UK''s bestselling GCSE Science series is specifically tailored for the current AQA GCSE Science (9-1) specifications. This workbook is the perfect companion for the series and supports students on their journey from KS3 to success at GCSE. Key features: - Additional support for Foundation students to help them succeed at GCSE- Topics follow the order of the Student Book, with carefully designed questions to help capture important notes as students work through the course - Plenty of engaging activities help consolidate learning and reinforce key concepts - Questions and activities specifically focused on the maths and practical skills required for the exam - ''I can'' checklists help students to monitor their own progress - ''What I need to remember'' to help students remember key concepts

Objev podobné jako AQA GCSE Chemistry for Combined Science (Trilogy) Workbook: Foundation - Philippa Gardom Hulme