📚 Book Lovin' Geek Mamas are on a mission to promote a love of books and reading to everyone. We help our visitors to find their next favorite book. Our authors regularly create and post so-called listicles (also known as booklists) on various mostly tech-related topics.

Best Data Mining Books Everyone Should Read

Until you’ve consumed all of the best Data Mining books, can you even claim to be a true fan?

The Hundred-Page Machine Learning Book (2019)

 Best Data Mining Books Everyone Should Readto avoid counterfeit, make sure that the book . Avoid third-party sellers. , Research Director at Google, co-author of , the most popular AI textbook in the world: “Burkov has undertaken a very useful but impossibly hard task in reducing all of machine learning to 100 pages.
Author(s): Andriy Burkov

Data Mining Techniques: For Marketing, Sales, and Customer Relationship Management (2011)

 Best Data Mining Books Everyone Should ReadThe leading introductory book on data mining, fully updated and revised! When Berry and Linoff wrote the first edition of Data Mining Techniques in the late 1990s, data mining was just starting to move out of the lab and into the office and has since grown to become an indispensable tool of modern business.
Author(s): Gordon S. Linoff, Michael J. A. Berry

Introduction to Machine Learning with Python: A Guide for Data Scientists (2016)

 Best Data Mining Books Everyone Should ReadMachine learning has become an integral part of many commercial applications and research projects, but this field is not exclusive to large companies with extensive research teams. If you use Python, even as a beginner, this book will teach you practical ways to build your own machine learning solutions.
Author(s): Andreas C. Müller, Sarah Guido

Machine Learning with R: Expert techniques for predictive modeling, 3rd Edition (2019)

 Best Data Mining Books Everyone Should ReadKey Features Book Description Machine learning, at its core, is concerned with transforming data into actionable knowledge. R offers a powerful set of machine learning methods to quickly and easily gain insight from your data. Machine Learning with R, Third Edition provides a hands-on, readable guide to applying machine learning to real-world problems.
Author(s): Brett Lantz

Mining the Social Web: Data Mining Facebook, Twitter, LinkedIn, Instagram, GitHub, and More (2018)

 Best Data Mining Books Everyone Should ReadMine the rich data tucked away in popular social websites such as Twitter, Facebook, LinkedIn, and Instagram.
Author(s): Matthew A. Russell, Mikhail Klassen

Data Mining for the Masses, Third Edition: With Implementations in RapidMiner and R (2018)

 Best Data Mining Books Everyone Should ReadSome say we live in the Information Age; others, the Social Age; and still others, the Big Data Age. Regardless of what name we give it, we live in an age that generates monumental amounts of data—in all different kinds of formats. In business, and in our personal lives, we use smartphones and tablets, web sites and watches; with apps and interfaces to shop, learn, entertain and inform.
Author(s): Matthew North

Feature Engineering for Machine Learning: Principles and Techniques for Data Scientists (2018)

 Best Data Mining Books Everyone Should ReadFeature engineering is a crucial step in the machine-learning pipeline, yet this topic is rarely examined on its own. With this practical book, you’ll learn techniques for extracting and transforming features—the numeric representations of raw data—into formats for machine-learning models. Each chapter guides you through a single data problem, such as how to represent text or image data.
Author(s): Alice Zheng, Amanda Casari

Machine Learning with Python Cookbook: Practical Solutions from Preprocessing to Deep Learning (2018)

 Best Data Mining Books Everyone Should ReadThis practical guide provides nearly 200 self-contained recipes to help you solve machine learning challenges you may encounter in your daily work.
Author(s): Chris Albon

Learning Data Mining with Python: Use Python to manipulate data and build predictive models, 2nd Edition (2017)

 Best Data Mining Books Everyone Should ReadKey Features Book DescriptionThis book teaches you to design and develop data mining applications using a variety of datasets, starting with basic classification and affinity analysis. This book covers a large number of libraries available in Python, including the Jupyter Notebook, pandas, scikit-learn, and NLTK.You will gain hands on experience with complex data types including text, images, and graphs.
Author(s): Robert Layton

R for Data Science: Import, Tidy, Transform, Visualize, and Model Data (2017)

 Best Data Mining Books Everyone Should ReadLearn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun.
Author(s): Hadley Wickham, Garrett Grolemund

Best Data Mining Books Everyone Should Read

We highly recommend you to buy all paper or e-books in a legal way, for example, on Amazon. But sometimes it might be a need to dig deeper beyond the shiny book cover. Before making a purchase, you can visit resources like Library Genesis and download some data mining books mentioned below at your own risk. Once again, we do not host any illegal or copyrighted files, but simply give our visitors a choice and hope they will make a wise decision.

Biometric Identification Technologies Based on Modern Data Mining Methods

Author(s): Stepan Bilan, Mohamed Elhoseny, D. Jude Hemanth
ID: 2890295, Publisher: Springer International Publishing;Springer, Year: 2021, Size: 10 Mb, Format: pdf

Data Visualization Guide: Clear Introduction to Data Mining, Analysis, and Visualization

Author(s): Campbell, Alex
ID: 2902446, Publisher: , Year: 2021, Size: 3 Mb, Format: epub

Introduction to Data Mining and Analytics

Author(s): Kris Jamsa
ID: 2938142, Publisher: Jones & Bartlett Learning LLC, Year: 2021, Size: 116 Mb, Format: epub

Please note that this booklist is not absolute. Some books are really chart-busters according to The New York Times, others are written by unknown authors. On top of that, you can always find additional tutorials and courses on Coursera, Udemy or edX, for example. Are there any other relevant books you could recommend? Leave a comment if you have any feedback on the list.

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