Data Science

See how data can help improve your business and the society at large. Understand the basics of Artificial Intelligence

Data analysis is the process of converting data into useful information. This book introduces data analysis applied to NBA daily fantasy sports (DFS) using the R programming language. You will learn how to wrangle and visualize data, build and test prediction models, and collect and import data from web-based sources.

"Help! I can't wrap my head around functions. I consistently find myself struggling to implement functions in a practical way." Even if you have no previous programming experience......if you're stuck trying to learn Python......this guide will explain functions to you. You will also learn how to use functions in a practical way.

Hello! Welcome to this guide to machine learning pipeline. If you want to get up-to-speed with some of the most data modeling techniques and gain experience using them to solve challenging problems, this is a good book for you!

Data Science is a growing field. Want to learn the popular java programming language and Stanford NLP to do text mining and Natural Language Processing, this is the book to grab.

The goal of the "Spreadsheet Adventures" series is to show you the friendly and lighthearted side of Excel. In this first book, “Coloring Fun with Conditional Formatting”, you will learn to create intricate patterns and elegant coloring schemes, as well as moving pictures and time-lapse videos.

This book draws a complete picture of the data analysis process, filling out many details that are missing from previous presentations. It presents a new perspective on what makes for a successful data analysis and how the quality of data analyses can be judged.

In this astonishing book, author Lee Baker uncovers how politicians, the press, corporations and other statistical conmen use graphs and charts to deceive their unwitting audience.Written as a layman’s guide to lying, cheating and deceiving with graphs, there’s not a dull page in sight!Discover the exciting world of graphical lies.

In this eye-opening book, author Lee Baker uncovers the key tricks used by statistical hustlers to deceive, hoodwink and dupe the unwary.Written as a layman’s guide to lying, cheating and deceiving with data and statistics, there’s not a dull page in sight!Discover the exciting world of statistical cheating and persuasive misdirection.

In this dissertation, we present hypothesis-based collaborative filtering (HCF) to expose individuals to products which best fits their preferences. HCF retrieves like-minded individuals based on the similarity of their hypothesized preferences by means of machine learning algorithms hypothesizing individuals’ preferences.

This book equip reader with data and text mining fundamental using DSTK 3. There are examples and explanatiosn are straight to the point. You will be walked through data mining process using DSTK 3.

Learn to build a machine learning pipeline that analyzes and automates cryptocurrency trading in real-time.

The complete guide to learning everything you need to know about Apache Ignite

Containing nearly 200 programming challenges developed as part of the Reddit DailyProgrammer forum, this useful instrument will help you learn programming from the basics, or help you to learn a new language. Challenges are broken into three difficulty ranges, easy, medium, and hard, and can be accessed from a variety of languages.

This book powers our MicroMasters program on edX and specialization on Coursera, one of the ten most popular computer science courses on Coursera. Over half a million students have tried to solve many programming challenges and algorithmic puzzles described in this book. We invite you to join them! See the webpage of the book for more details.