Best Machine Learning Books For Beginners

1. Machine Learning For Absolute Beginners: A Plain English Introduction (2nd Edition)

Do you want to learn Machine Learning but have no idea how? Well, before you embark on your epic journey into machine learning, there are some important theoretical and statistical principles you should know first. And that’s where this book comes in! It is a practical and high-level introduction to Machine Learning for absolute beginners. Machine Learning For Absolute Beginners teaches you everything basic from learning how to download free datasets to the tools and machine learning libraries you will need. 

Topics like Data scrubbing techniques, Regression analysis, Clustering, Basics of Neural Networks, Bias/Variance, Decision Trees, etc. are also covered. So, if you haven’t had that Lion King moment yet, where you proudly gaze on the expanse of ML-like Simba looks over the Pride Lands of Africa, then this is the best book to gently hoist you up and offer you a clear lay of the land. 

Buy Machine Learning For Absolute Beginners Book 

2. Machine Learning (in Python and R) For Dummies (1st Edition)

For common people, Machine Learning can be a mind-boggling concept. But for those of us in the know, it is invaluable!!! It is impossible to handle things like web search results, real-time ads on web pages, automation, or even spam filtering (Yeah!) without ML. And so this book provides you with a no-nonsense guide that can serve as an entry point into the mysterious world of ML. 

Machine Learning For Dummies will help you to ‘speak’ certain languages, such as Python and R that will, in turn, teach machines to handle pattern-oriented tasks and data analysis. You will also learn how to code in R using R Studio and Python using Anaconda.

Buy Machine Learning For Dummies Book 

3. Machine Learning for Hackers: Case Studies and Algorithms to Get You Started (1st Edition)

In case you are a programmer now interested in data crunching, then this book is perfect for you! (Let’s first clarify that the Hacker in the title refers to a good programmer and not a secretive computer cracker!) So this book will help you get started with Machine Learning using lots of hands-on case studies rather than boring math-heavy presentations that are more common. 

Machine Learning for Hackers focuses on specific problems in each chapter such as classification, prediction, optimization, and recommendation. It will also teach you to analyze different sample datasets and write simple machine-learning algorithms in the R programming language. 

Buy Machine Learning for Hackers Book 

4. Machine Learning: The New AI (The MIT Press Essential Knowledge Series)

Machine Learning has an insane range of applications in modern times, from product recommendations to voice recognition and even those that are not commonly used like self-driving cars! Now, the basis of ML is data and as data has grown bigger (Big data!), it is no surprise that ML has also advanced as it is fundamental in the process of converting data into knowledge. Machine Learning: The New AI focuses on basic Machine Learning, ranging from the evolution to important learning algorithms and their example applications. 

This book also focuses on machine learning algorithms for pattern recognition; artificial neural networks, reinforcement learning, data science, and the ethical and legal implications of ML for data privacy and security. 

Buy Machine Learning: The New AI Book

5. The Hundred-Page Machine Learning Book

This book offers readers an excellent introduction to machine learning. The book also has a proper explanation of artificial intelligence systems which has been made very understandable by the writers. With all the basic concepts written clearly, the Hundred-Page Machine Learning Book speaks about the basic concepts required for interviews. 

The book is a great combination of both practice papers and theory and clarifies various concepts such as logistic regression with illustrations and classical linear, algorithms written with Python and models. The book also covers numerous important topics such as Fundamental Algorithms, Deep Learning and Neural Networks, Advanced Practice, Anatomy of a Learning Algorithm, and Unsupervised Learning. 

Buy The Hundred-Page Machine Learning Book

Alan Turing stated, “What we want is a machine that can learn from experience.” And this concept is a reality today in the form of Machine Learning! Generally speaking, Machine Learning involves studying computer algorithms and statistical models for a specific task using patterns and inference instead of explicit instructions. And there is no doubt that Machine Learning is an insanely popular career choice today. 

According to many sources, Machine Learning Engineer is The Best Job with a 344% growth and an average base salary of $146,085 per year. Keeping this in mind, if you want to learn Machine Learning, there are many books available in the market (for programmers at all stages of learning). In this article, we have compiled the best machine learning books, both for rank amateurs and technical whiz kids!!! Each of these books is extremely popular so it is up to you to choose the ones you like according to your learning sensibilities. So without further ado, let’s see them!