Data Science

SQL is full of difficulties and traps for the unwary. You can avoid them if you understand relational theory, but only if you know how to put that theory into practice. In this book, Chris Date explains relational theory in depth, and demonstrates...

A practical guide to making good decisions in a world of missing dataIn the era of big data, it is easy to imagine that we have all the information we need to make good decisions. But in fact the data we have are never complete, and may be only the tip...

Financial risk management is quickly evolving with the help of artificial intelligence. With this practical book, developers, programmers, engineers, financial analysts, and risk analysts will explore Python-based machine learning and deep learning...

Using the open source R language, you can build powerful statistical models to answer many of your most challenging questions. R has traditionally been difficult for non-statisticians to learn, and most R books assume far too much knowledge to be of help...

A friendly and accessible approach to applying statistics in the real world With an emphasis on critical thinking, The Art of Data Analysis: How to Answer Almost Any Question Using Basic Statistics presents fun and unique examples, guides readers...

With the surge in big data and AI, organizations can rapidly create data products. However, the effectiveness of their analytics and machine learning models depends on the data's quality. Delta Lake's open source format offers a robust lakehouse...

XSLT is an essential tool for converting XML into other kinds of documents: HTML, PDF file, and many others. It's a critical technology for XML-based platforms such as Microsoft .NET, Sun Microsystems' Sun One, as well as for most web browsers and...

Build powerful, production-ready search applications using the incredible features of Elasticsearch. In ElasticSearch in Action, Second Edition you will discover: Architecture, concepts, and fundamentals of ElasticsearchInstalling,...

How can you transform a spreadsheet of numbers into a clear, compelling story that your audience will want to pass on? This book is a step-by-step guide (honed through the authors' Guardian masterclasses, workshops and seminars) to bringing data to...

This accessible and classroom-tested textbook/reference presents an introduction to the fundamentals of the emerging and interdisciplinary field of data science. The coverage spans key concepts adopted from statistics and machine learning, useful...

The Black Book of Quantum Chromodynamics is an in-depth introduction to the particle physics of current and future experiments at particle accelerators. The book offers the reader an overview of practically all aspects of the strong interaction necessary...

Migrate your data to Salesforce and build low-maintenance and high-performing data integrations to get the most out of Salesforce and make it a "go-to" place for all your organization's customer information.When companies choose to roll out Salesforce,...

Mikhail Zhilkin, a data scientist who has worked on projects ranging from Candy Crush games to Premier League football players' physical performance, shares his strong views on some of the best and, more importantly, worst practices in data analytics and...

Enormous quantities of data go unused or underused today, simply because people can't visualize the quantities and relationships in it. Using a downloadable programming environment developed by the author, "Visualizing Data" demonstrates methods for...

Implementing and designing systems that make suggestions to users are among the most popular and essential machine learning applications available. Whether you want customers to find the most appealing items at your online store, videos to enrich and...

Data is a fantastic raw resource for powering change in an organization, but all too often the people working in those organizations don't have the necessary skills to communicate with data effectively. With this practical book, subject matter experts...

Crime and Punishment in the Future Internet is an examination of the development and impact of digital frontier technologies (DFTs) such as Artificial Intelligence, the Internet of things, autonomous mobile robots, and blockchain on offending, crime...

Based on interdisciplinary research into "Directional Change", a new data-driven approach to financial data analysis, Detecting Regime Change in Computational Finance: Data Science, Machine Learning and Algorithmic Trading applies machine learning to...

The mathematical theory of machine learning not only explains the current algorithms but can also motivate principled approaches for the future. This self-contained textbook introduces students and researchers of AI to the main mathematical techniques...

Explore the modern market of data analytics platforms and the benefits of using Snowflake computing, the data warehouse built for the cloud. With the rise of cloud technologies, organizations prefer to deploy their analytics using cloud providers such...

Gain a deeper understanding of how distributed systems work, as well as which applications and systems are used for specific business domains or industries. This book provides a set of solution architecture patterns that were developed based on the...

Data science teams looking to turn research into useful analytics applications require not only the right tools, but also the right approach if they're to succeed. With the revised second edition of this hands-on guide, up-and-coming data scientists will...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9780982550670Author David CarassoFormat PaperbackPage Count 168Imprint Cito ResearchPublisher Cito ResearchWeight(grams) 304gDimensions(mm) 254mm * 178mm *...

Get started with Ray, the open source distributed computing framework that simplifies the process of scaling compute-intensive Python workloads. With this practical book, Python programmers, data engineers, and data scientists will learn how to leverage...

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...

Many industry experts consider unsupervised learning the next frontier in artificial intelligence, one that may hold the key to general artificial intelligence. Since the majority of the world's data is unlabeled, conventional supervised learning cannot...

Data as a Service shows how organizations can leverage data as a service by providing real-life case studies on the various and innovative architectures and related patterns * Comprehensive approach to introducing data as a service in any organization *...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9781579550486Author Etienne BernardFormat PaperbackPage Count 424Imprint Wolfram Media IncPublisher Wolfram Media Inc

If you want to increase Tableau's value to your organization, this practical book has your back. Authors Ann Jackson and Luke Stanke guide data analysts through recipes for solving real-world analytics problems using Tableau. Starting with the basics and...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9780991344659Author Amelia WattenbergerFormat HardbackPage Count 608Imprint Fullstack.IOPublisher Fullstack.IOWeight(grams) 1615g

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9781634629492Author Larry BurnsFormat PaperbackPage Count 296Imprint Technics Publications LLCPublisher Technics Publications LLC

In this third edition of Foundation Mathematics for Computer Science, John Vince has reviewed and edited the second edition, and added chapters on systems of counting, area and volume. These subjects complement the existing chapters on visual...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9781950922512Author Neil WilkinsFormat PaperbackPage Count 114Imprint Bravex PublicationsPublisher Bravex PublicationsWeight(grams) 177gDimensions(mm) 229mm...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9781777005467Author Andriy BurkovFormat HardbackPage Count 310Imprint True Positive Inc.Publisher True Positive Inc.Weight(grams) 934gDimensions(mm) 235mm *...

This book is intended for IT professionals and students who want to learn how to design, analyze, and understand databases. The material will benefit those who want a better high-level understanding of databases such as proposal managers, architects,...

How can you take advantage of feedback control for enterprise programming? With this book, author Philipp K. Janert demonstrates how the same principles that govern cruise control in your car also apply to data center management and other enterprise...

This practical guide provides a collection of techniques and best practices that are generally overlooked in most data engineering and data science pedagogy. A common misconception is that great data scientists are experts in the "big themes" of the...

DATA CONSCIENCE ALGORITHMIC S1EGE ON OUR HUM4N1TY EXPLORE HOW D4TA STRUCTURES C4N HELP OR H1NDER SOC1AL EQU1TY Data has enjoyed 'bystander' status as we've attempted to digitize responsibility and morality in tech. In fact, data's importance should...

Deep learning has transformed the fields of computer vision, image processing, and natural language applications. Thanks to TensorFlow.js, now JavaScript developers can build deep learning apps without relying on Python or R. Deep Learning with...

Serving as both a tutorial and a reference guide to the MDX (Multidimensional Expressions) query language, this book shows data warehouse developers what they need to know to build effective multidimensional data warehousesAfter a brief overview of the...