Data Science

The essential textbook on agent-based modeling-now fully updated and expandedAgent-Based and Individual-Based Modeling has become the standard textbook on the subject for classroom use and self-instruction. Drawing on the latest version of NetLogo and...

In spatial data science, things in closer proximity to one another likely have more in common than things that are farther apart. With this practical book, geospatial professionals, data scientists, business analysts, geographers, geologists, and others...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9780262047012Author Mykel J. KochenderferFormat HardbackPage Count 704Imprint MIT PressPublisher MIT Press Ltd

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9781615470693Author Matt AllingtonFormat PaperbackPage Count 186Imprint Holy Macro! BooksPublisher Holy Macro! BooksWeight(grams) 5g

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9781960907059Author Alli TorbanFormat PaperbackPage Count 162Imprint Data Literacy PressPublisher Data Literacy PressWeight(grams) 227gDimensions(mm) 229mm *...

Demystify quantum computing by learning the math it is built on Key Features Build a solid mathematical foundation to get started with developing powerful quantum solutions Understand linear algebra, calculus, matrices, complex numbers, vector...

Prepare for Microsoft Exam DP-600 and demonstrate your real-world mastery of Microsoft Fabric analytics solution development. Designed for working Fabric analytics engineers, this Exam Ref focuses on the critical thinking and decision-making acumen...

Named one of "The five best books to understand AI" by The EconomistThe impact AI will have is profound, but the economic framework for understanding it is surprisingly simple.Artificial intelligence seems to do the impossible, magically bringing...

Take advantage of today's sky-high demand for data engineers. With this in-depth book, current and aspiring engineers will learn powerful real-world best practices for managing data big and small. Contributors from notable companies including Twitter,...

Reinforcement learning (RL) has led to several breakthroughs in AI. The use of the Q-learning (DQL) algorithm alone has helped people develop agents that play arcade games and board games at a superhuman level. More recently, RL, DQL, and similar methods...

Learn the fundamentals of Bayesian modeling using state-of-the-art Python libraries, such as PyMC, ArviZ, Bambi, and more, guided by an experienced Bayesian modeler who contributes to these libraries Key Features Conduct Bayesian data analysis with...

Combine the power of Apache Spark and Python to build effective big data applications About This Book * Perform effective data processing, machine learning, and analytics using PySpark * Overcome challenges in developing and deploying Spark...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9780262048019Author Marc G. BellemareFormat HardbackPage Count 400Imprint MIT PressPublisher MIT Press Ltd

Distant galaxies, dark matter, black holes - elusive, incomprehensible and inhospitable - these are the building blocks of modern physics. But where do we fit in this picture? 'A delightful account of one of the deepest and most fascinating...

Technology advances are making tech more . . . human. This changes everything you thought you knew about innovation and strategy.In their groundbreaking book, Human + Machine, Accenture technology leaders Paul R. Daugherty and H. James Wilson showed how...

"Bond. James Bond." The iconic line from James Bond's first big-screen scene has been endlessly quoted and imitated since, and the memorable dialogue and witty one-liners stand alongside the glamorous locations, breath-taking stunts and creative gadgets...

Most of the high-profile cases of real or perceived unethical activity in data science aren't matters of bad intent. Rather, they occur because the ethics simply aren't thought through well enough. Being ethical takes constant diligence, and in many...

This standard textbook of modern graph theory, now in its fifth edition, combines the authority of a classic with the engaging freshness of style that is the hallmark of active mathematics. It covers the core material of the subject with concise yet...

Analytics projects are frequently long-drawn-out affairs, requiring multiple teams and skills to clean, join, and eventually turn data into analysis for timely decision-making. Alteryx Designer changes all of that. With this low-code, self-service,...

A cutting-edge response to Ralph Kimball's challenge to the data warehouse community that answers some tough questions about the effectiveness of the relational approach to data warehousingWritten by one of the best-known exponents of the Bill Inmon...

With Math for Deep Learning, you'll learn the essential mathematics used by and as a background for deep learning. You'll work through Python examples to learn key deep learning related topics in probability, statistics, linear algebra, differential...

Identify data quality issues, leverage real-world examples and templates to drive change, and unlock the benefits of improved data in processes and decision-making Key Features Get a practical explanation of data quality concepts and the imperative...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9780262525930Author John H. HollandFormat PaperbackPage Count 316Imprint MIT PressPublisher MIT Press LtdWeight(grams) 318gDimensions(mm) 203mm * 137mm * 14mm

The connected world offers the potential for radical new business insights gleaned from previously unimaginable volumes of data. But business has got bogged down in the process of collecting and storing that data; money has been wasted on data lakes in...

Data has dramatically changed how our world works. Understanding and using data is now one of the most transferable and desirable skills. Whether you're an entrepreneur wanting to boost your business, a jobseeker looking for that employable edge, or...

How big data and machine learning encode discrimination and create agitated clusters of comforting rage.In Discriminating Data, Wendy Hui Kyong Chun reveals how polarization is a goal-not an error-within big data and machine learning. These methods, she...

Sorry no description is available for this book at this time.

Build efficient data lakes that can scale to virtually unlimited size using AWS Glue Key Features Book DescriptionOrganizations these days have gravitated toward services such as AWS Glue that undertake undifferentiated heavy lifting and provide...

This book is a practical and comprehensive guide on using AI tools to streamline and optimise the academic writing and research process.Through a series of step-by-step instructions and practical tips, this book provides readers with the knowledge and...

This unique textbook intersects traditional library science with data science principles that readers will find useful in implementing or improving data services within their libraries.Data Science for Librarians introduces data science to students and...

Explore different perspectives and approaches to create more effective visualizations #MakeoverMonday offers inspiration and a giant dose of perspective for those who communicate data. Originally a small project in the data visualization community,...

This textbook covers the entire Business Process Management (BPM) lifecycle, from process identification to process monitoring, covering along the way process modelling, analysis, redesign and automation. Concepts, methods and tools from business...

An accessible primer on how to create effective graphics from dataThis book provides students and researchers a hands-on introduction to the principles and practice of data visualization. It explains what makes some graphs succeed while others fail, how...

Deep learning is rapidly gaining momentum in the world of finance and trading. But for many professional traders, this sophisticated field has a reputation for being complex and difficult. This hands-on guide teaches you how to develop a deep learning...

Your logical, linear guide to the fundamentals of data science programming Data science is exploding-in a good way-with a forecast of 1.7 megabytes of new information created every second for each human being on the planet by 2020 and 11.5 million job...

Statistics, Data Mining, and Machine Learning in Astronomy is the essential introduction to the statistical methods needed to analyze complex data sets from astronomical surveys such as the Panoramic Survey Telescope and Rapid Response System, the Dark...

Data, data, data: It's all one ever hears about these days. Science is all about big data. Our bosses call out for analytics, whatever those might be. And everyone wants to predict what will happen next. Can we accurately predict if a company's stock...

A thorough update to the industry standard for designing, developing, and deploying data warehouse and business intelligence systems The world of data warehousing has changed remarkably since the first edition of The Data Warehouse Lifecycle Toolkit was...

Master advanced techniques and algorithms for machine learning with PyTorch using real-world examples Updated for PyTorch 2.x, including integration with Hugging Face, mobile deployment, diffusion models, and graph neural networks Purchase of the...

Businesses own more data than ever before, but it's of no value if you don't know how to use it. Data governance manages the people, processes, and strategy needed for deploying data projects to production. But doing it well is far from easy: Less than...