Data Science

As an aspiring data scientist, you appreciate why organizations rely on data for important decisions-whether it's for companies designing websites, cities deciding how to improve services, or scientists discovering how to stop the spread of disease. And...

Learn how to use the large-scale natural language processing model developed by OpenAI: ChatGPT. This book explains how ChatGPT uses machine learning to autonomously generate text based on user input and explores the significant implications for human...

Gudme: The Iron Age Settlement and Central Halls presents, describes and interprets the many finds and structures that have been comprised during the extended excavations at the central parts of the Gudme locality on southeast Funen, Denmark. Head of...

An ideal textbook for complete beginners-teaches from scratch R, statistics, and the fundamentals of quantitative social scienceData Analysis for Social Science provides a friendly introduction to the statistical concepts and programming skills needed to...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9789671727201Author Meor AmerFormat PaperbackPage Count 128Imprint Meor Amer Reza Bin Meor HaziziPublisher Meor Amer Reza Bin Meor HaziziWeight(grams)...

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...

Value-Driven Data explains how data and business leaders can co-create and deploy data-driven solutions for their organizations. Value-Driven Data explores how organizations can understand their problems and come up with better solutions, aligning...

"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...

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...

Imagine what you could do if scalability wasn't a problem. With this hands-on guide, you'll learn how the Cassandra database management system handles hundreds of terabytes of data while remaining highly available across multiple data centers. This...

A Wall Street Journal bestsellerA Publisher's Weekly bestsellerA fascinating look at the trailblazing companies using artificial intelligence to create new competitive advantage, from the author of the business classic, Competing on Analytics, and the...

Bayesian Statistics the Fun Way gets you understanding the theory behind data analysis without making you slog through a load of dry concepts first - with no programming experience necessary. You'll learn about probability with LEGO, statistics through...

We're in the midst of an AI research explosion. Deep learning has unlocked superhuman perception that has powered our push toward self-driving vehicles, the ability to defeat human experts at a variety of difficult games including Go and Starcraft, and...

Social Learning Systems and Communities of Practice is a collection of classical and contemporary writing associated with learning and systemic change in contexts ranging from cities, to rural development to education to nursing to water management to...

Foreword by M. G. Leonard: 'It's rare to find a book that's as useful as it is inspiring ... essential reading.' The indispensable guide to writing for children and young adults, this Yearbook provides inspirational articles from successful writers...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9780977140060Author Steve HobermanFormat PaperbackPage Count 360Imprint Technics Publications LLCPublisher Technics Publications LLCWeight(grams) 734g

Organizations often start their data journey by either procuring the technology or hiring the people. However, without an effective data-driven culture in place, they can struggle to derive value from their investments. Data Culture explores how data...

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...

Data warehousing is one of the hottest business topics, and there's more to understanding data warehousing technologies than you might think. Find out the basics of data warehousing and how it facilitates data mining and business intelligence with Data...

As data continues to grow and become more complex, organizations seek innovative solutions to manage their data effectively. Data Mesh is one solution that provides a new approach to managing data in complex organizations. This practical guide offers...

Amazon Redshift powers analytic cloud data warehouses worldwide, from startups to some of the largest enterprise data warehouses available today. This practical guide thoroughly examines this managed service and demonstrates how you can use it to extract...

An engaging introduction to data science that emphasizes critical thinking over statistical techniquesAn introduction to data science or statistics shouldn't involve proving complex theorems or memorizing obscure terms and formulas, but that is exactly...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9780262547932Author Cristina AlaimoFormat PaperbackPage Count 240Imprint MIT PressPublisher MIT Press Ltd

Now more than ever, content must be visual if it is to travel far. Readers everywhere are overwhelmed with a flow of data, news, and text. Visuals can cut through the noise and make it easier for readers to recognize and recall information. Yet many...

There's growing interest in learning how to analyze streaming data in large-scale systems such as web traffic, financial transactions, machine logs, industrial sensors, and many others. But analyzing data streams at scale has been difficult to do...

Companies today are moving rapidly to integrate generative AI into their products and services. But there's a great deal of hype (and misunderstanding) about the impact and promise of this technology. With this book, Chris Fregly, Antje Barth, and...

A practical guide to data mining using SQL and Excel Data Analysis Using SQL and Excel, 2nd Edition shows you how to leverage the two most popular tools for data query and analysis-SQL and Excel-to perform sophisticated data analysis without the need...

Get a step ahead of your competitors with insights from over 30 Kaggle Masters and Grandmasters. Discover tips, tricks, and best practices for competing effectively on Kaggle and becoming a better data scientist. Purchase of the print or Kindle book...

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...

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...

A comprehensive and fully visual guide to Microsoft Power BI Teach Yourself VISUALLY Power BI collects all the resources you need to master the everyday use of Microsoft's powerful data visualization software and delivers them in a single, easy-to-use...

The time has now come when graph theory should be part of the education of every serious student of mathematics and computer science, both for its own sake and to enhance the appreciation of mathematics as a whole. This book is an in-depth account of...

Data is a must-have for any business looking to thrive. So is having leadership who 'get' data and use it to support their decision-making. But how do you embed the use of data and analytics across your organisation so they truly support every...

With this practical book, AI and machine learning practitioners will learn how to successfully build and deploy data science projects on Amazon Web Services. The Amazon AI and machine learning stack unifies data science, data engineering, and application...

Two world-renowned experts on innovation and digital strategy explore how real-time data and AI will radically transform physical products-and the companies that make them.Tech giants like Facebook, Amazon, and Google can collect real-time data from...

The only book you need to understand blockchain: what it is, how it works and how it will transform business, society and our everyday lives. Basic Blockchain is an accessible, non-technical introduction to a revolutionary technology.'Makes it easy for...

What do you need to become a data-driven organization? Far more than having big data or a crack team of unicorn data scientists, it requires establishing an effective, deeply-ingrained data culture. This practical book shows you how true data-drivenness...

WINNER: International Book Awards 2023 - Business: Technology (1st edition) Not everyone needs to be a data scientist, but everyone should be data literate in a fast-moving world that brings new technological developments every day. It is not...

Whether you are a newly minted MBA or a project manager at a Fortune 500 company, data science will play a major role in your career. Knowing how to communicate effectively with data scientists in order to obtain maximum value from their expertise is...

Radio 4's Book of the WeekA Financial Times Book of the YearShortlisted for the 2020 Financial Times / McKinsey Business Book of the YearLonglisted for the National Book Award 'The story of the original data science hucksters of the 1960s is hilarious,...