Data Science

Data science libraries, frameworks, modules, and toolkits are great for doing data science, but they're also a good way to dive into the discipline without actually understanding data science. With this updated second edition, you'll learn how many of...

"Turn yourself into a Data Head. You'll become a more valuable employee and make your organization more successful."Thomas H. Davenport, Research Fellow, Author of Competing on Analytics, Big Data @ Work, and The AI Advantage You've heard the hype around...

If you know how to program, you have the skills to turn data into knowledge, using tools of probability and statistics. This concise introduction shows you how to perform statistical analysis computationally, rather than mathematically, with programs...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9788594377135Author Paul CaroliFormat PaperbackPage Count 170Imprint Editora CaroliPublisher Editora Caroli

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...

Machine Learning for Kids introduces young readers to the concept of Artificial Intelligence (AI) and the related applications of Machine Learning. Readers learn how to create intelligent games like a rock-paper-scissors game that can learn hand motions...

Don't be afraid of the GDPR wolf! How can your business easily comply with the new data protection and privacy laws and avoid fines of up to $27M? GDPR For Dummies sets out in simple steps how small business owners can comply with the complex General...

Data is getting bigger, arriving faster, and coming in varied formats-and it all needs to be processed at scale for analytics or machine learning. How can you process such varied data workloads efficiently? Enter Apache Spark. Updated to emphasize...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9780956817204Author Lawrence CorrFormat PaperbackPage Count 328Imprint DecisionOne PressPublisher DecisionOne PressWeight(grams) 657g

Large corporations like IBM and Oracle are using Excel dashboards and reports as a Business Intelligence tool, and many other smaller businesses are looking to these tools in order to cut costs for budgetary reasons. An effective analyst not only has to...

Observability is critical for building, changing, and understanding the software that powers complex modern systems. Teams that adopt observability are much better equipped to ship code swiftly and confidently, identify outliers and aberrant behaviors,...

Baseball is not the only sport to use "moneyball." American football fans, teams, and gamblers are increasingly using data to gain an edge against the competition. Professional and college teams use data to help select players and identify team needs...

Updated new edition of Ralph Kimball's groundbreaking book on dimensional modeling for data warehousing and business intelligence! The first edition of Ralph Kimball's The Data Warehouse Toolkit introduced the industry to dimensional modeling, and now...

How to build and maintain strong data organizations-the Dummies way Data Governance For Dummies offers an accessible first step for decision makers into understanding how data governance works and how to apply it to an organization in a way that improves...

Song Noir examines the formative first decade of Tom Waits' career, when he lived, wrote and recorded nine albums in Los Angeles; from his soft, folk-inflected debut, Closing Time (1973), to the abrasive, surreal Swordfishtrombones (1983). Starting his...

WINNER OF THE ROYAL SOCIETY YOUNG PEOPLE'S BOOK PRIZE 2021A FINANCIAL TIMES BOOK OF THE YEAR 2020Hello. I am a book. But I'm also a portal to the universe.I have 112 pages, measuring 20cm high and wide. I weigh 450g. And I have the power to show you the...

Deep learning is often viewed as the exclusive domain of math PhDs and big tech companies. But as this hands-on guide demonstrates, programmers comfortable with Python can achieve impressive results in deep learning with little math background, small...

The go-to guide in machine learning projects from design to production. No ML skills required! In Managing Machine Learning Projects, you will learn essential machine learning project management techniques, including: Understanding an ML project's...

AN FT BUSINESS BOOK OF THE MONTH 'An essential read' Diane Coyle, University of Cambridge 'We are currently living in a moment of extreme pessimism about data. This book will change your mind.' It's impossible to escape digital technology. And with that...

Since their introduction in 2017, transformers have quickly become the dominant architecture for achieving state-of-the-art results on a variety of natural language processing tasks. If you're a data scientist or coder, this practical book -now revised...

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,...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9780262048439Author Kevin P. MurphyFormat HardbackPage Count 1360Imprint MIT PressPublisher MIT Press Ltd

Data is constantly increasing; everything from app usage, to sales, to customer surveys generate data in an average business. Out on the streets data is everywhere too, from speed and security cameras, weather monitoring and measuring footfall to name...

Entity resolution is a key analytic technique that enables you to identify multiple data records that refer to the same real-world entity. With this hands-on guide, product managers, data analysts, and data scientists will learn how to add value to data...

You'll find several books on basic or advanced MySQL performance, but nothing in between. That's because explaining MySQL performance without addressing its complexity is difficult. This practical book bridges the gap by teaching software engineers...

When it comes to choosing, using, and maintaining a database, understanding its internals is essential. But with so many distributed databases and tools available today, it's often difficult to understand what each one offers and how they differ. With...

A four-color journey through a complete Tableau visualization Tableau is a popular data visualization tool that's easy for individual desktop use as well as enterprise. Used by financial analysts, marketers, statisticians, business and sales leadership,...

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...

Written by renowned data science experts Foster Provost and Tom Fawcett, Data Science for Business introduces the fundamental principles of data science, and walks you through the "data-analytic thinking" necessary for extracting useful knowledge and...

The past decade has witnessed a wide adoption of artificial intelligence and machine learning (AI/ML) technologies. However, a lack of oversight into their widespread implementation has resulted in harmful outcomes that could have been avoided with...

The science behind global warming, and its history: how scientists learned to understand the atmosphere, to measure it, to trace its past, and to model its future. Global warming skeptics often fall back on the argument that the scientific case for...

Monetize your company's data and data science expertise without spending a fortune on hiring independent strategy consultants to help What if there was one simple, clear process for ensuring that all your company's data science projects achieve a high a...

Be Data Analytical is the book organizations and individuals need to understand how to truly use analytics to turn data into valuable insights and drive smarter decision making. Data needs analytics to turn it into value and for organizations to be...

Companies are scrambling to integrate AI into their systems and operations. But to build truly successful solutions, you need a firm grasp of the underlying mathematics. This accessible guide walks you through the math necessary to thrive in the AI field...

Data pipelines are the foundation for success in data analytics. Moving data from numerous diverse sources and transforming it to provide context is the difference between having data and actually gaining value from it. This pocket reference defines data...

'Fascinating' - Financial Times Algorithms are running our society, and as the Cambridge Analytica story has revealed, we don't really know what they are up to. Our increasing reliance on technology and the internet has opened a window for...

From the stock market to covid-19, census figures to marketing email blasts, we are awash with data. But as anyone who has ever opened up a spreadsheet packed with seemingly infinite lines of data knows, numbers aren't enough: we need to know how to make...

Become a more effective tech professional by learning how to provide the most useful IT support for your users. You'll learn how to efficiently and effectively deal with any type of problem, including operating systems, software, and hardware. IT support...

Get going with tidymodels, a collection of R packages for modeling and machine learning. Whether you're just starting out or have years of experience with modeling, this practical introduction shows data analysts, business analysts, and data scientists...

How to use math to improve performance and predict outcomes in professional sportsMathletics reveals the mathematical methods top coaches and managers use to evaluate players and improve team performance, and gives math enthusiasts the practical skills...