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Machine Learning
Books

Machine learning is a field of study that focuses on the creation and development of algorithms that can learn and make predictions based on data. It is an area of study in which computer programs are designed to improve automatically through experience.

Machine learning has been used in many different fields, such as for speech recognition or language translation.

In this article, I selected the best books to learn machine learning and deep learning for beginners and advanced programmers.

You will find books either on machine learning, machine learning and deep learning, or deep learning. I added a flag for each book to indicate what topic the book focuses on.

**This page contains affiliate links, meaning I get a commission if you decide to make a purchase through my links, at no cost to you.**

If you want to get started with machine learning then go with this book. This book will give you enough details to get a good level of understanding of machine learning.

The book received positive feedback from industry leaders like **Aurélien Géron**,** Peter Norvig**, and many more.

The topics that are covered in this book are:

- Fundamental algorithms such as linear regression, logistic regression, decision tree, and more
- Basic practice (feature engineering, underfitting and overfitting, regularization, ...)
- Neural networks and deep learning
- Unsupervised learning
- and many more

**Price**: $34.98

**Amazon Stars**: 4.6/5

**Focus**: Machine Learning

**Difficulty Level**: Beginner

You can buy the book on Amazon here.

This book provides a comprehensive introduction to the fields of pattern recognition and machine learning.

It deals mainly with the theoretical aspect of machine learning and is aimed at advanced undergraduate students, as well as researchers and practitioners

The book assumes no previous knowledge of pattern recognition or machine learning concepts but familiarity with multivariate calculus and basic linear algebra is required.

**Price**: $60.94

**Amazon Stars**: 4.1/5

**Focus**: Machine Learning and Deep Learning

**Difficulty Level**: Advanced

You can buy the book on Amazon here.

*Python Machine Learning* is a comprehensive guide to machine learning and deep learning with Python.

Written for developers and data scientists, this book covers all the essential machine learning techniques that will allow you to create practical machine learning and deep learning models using Python, scikit-learn, and TensorFlow 2.

**Price**: $36

**Amazon Stars**: 4.5/5

**Focus**: Machine Learning and Deep Learning

**Difficulty Level**: Beginner

You can buy the book on Amazon here.

This is Amazon's best sellers book in the Artificial Intelligence category. In my opinion, this is the best practical book to get started with machine learning and deep learning using Scikit-Learn, Keras & TensorFlow2.

The book is divided into two parts: the first part is all about machine learning and the second part will introduce you to deep learning.

There are exercises at the end of each chapter to help you apply what you’ve learned.

Some of the topics that are covered in this book are:

- Work through an example machine learning project end to end
- Learn about support vector machines, decision trees, random forests, and ensemble methods
- Train neural nets with TensorFlow
- Train deep neural nets with TensorFlow.
- Explore convolutional nets, recurrent nets, and deep reinforcement learning

**Price**: $29.33

**Amazon Stars**: 4.8/5

**Focus**: Machine Learning and Deep Learning

**Difficulty Level**: Beginner

You can buy the book on Amazon here.

This book is for beginners that will teach them the steps necessary to create machine learning applications with Python and the scikit-learn library.

You'll learn the fundamental concepts and applications of machine learning including:

- Supervised and unsupervised learning
- Feature engineering
- Model evaluation and improvement
- Building pipelines
- and more

**Price**: $37.77

**Amazon Stars**: 4.6/5

**Focus**: Machine Learning

**Difficulty Level**: Beginner

You can buy the book on Amazon here.

This book is written by Francois Chollet, creator of Keras, and it is focused on deep learning.

You'll learn the fundamentals of machine learning, computer vision, natural language processing, and more.

**Price**: $47

**Amazon Stars**: 4.9/5

**Focus**: Deep Learning

**Difficulty Level**: Beginner

You can buy the book on Amazon here.

This is an applied Machine Learning book that is filled with best practices and design patterns of building reliable machine learning solutions that scale.

**Price**: $34.99

**Amazon Stars**: 4.7/5

**Focus**: Machine Learning

**Difficulty Level**: Beginner

You can buy the book on Amazon here.

This book is for beginners that provides a high-level introduction to machine learning.

You'll learn how to download datasets, what tools and libraries you need in ML, prepare data for analysis, build your first ML model, and much more.

**Price**: $16.90

**Amazon Stars**: 4.5/5

**Focus**: Machine Learning

**Difficulty Level**: Beginner

You can buy the book on Amazon here.

*Fundamentals of Machine Learning for Predictive Data Analytics* offers a detailed and focused treatment of the most important machine learning approaches used in predictive data analytics, covering both theoretical concepts and practical applications

The book can be used as an introductory textbook or as a reference for professionals.

**Price**: $72.49

**Amazon Stars**: 4.7/5

**Focus**: Machine Learning

**Difficulty Level**: Beginner

You can buy the book on Amazon here.

*Programming Collective Intelligence* is a practical book that will show you how to build machine learning algorithms to access interesting datasets from websites, collect data from users and understand the data once you've collected it.

The book will teach you collaborative filtering techniques used in product recommendations, methods of clustering, search engine features, optimization algorithms and many more.

**Price**: $24.99

**Amazon Stars**: 4.1/5

**Focus**: Machine Learning

**Difficulty Level**: Advanced

You can buy the book on Amazon here.

This book will introduce you to machine learning by diving into the theoretical and mathematical part of machine learning and transforming these principles into practical algorithms.

The book covers a wide array of central topics such as stochastic gradient descent, neural networks, structured output learning, and more.

**Price**: $59.99

**Amazon Stars**: 4.3/5

**Focus**: Machine Learning

**Difficulty Level**: Beginner

You can buy the book on Amazon here.

*Data Mining: Practical Machine Learning Tools and Techniques* offers an in-depth grounding in machine learning concepts, as well as practical guidance on applying these techniques in real-world data mining situations.

This book will teach you how to prepare inputs, interpret outputs, evaluate results, and more.

**Price**: $50.25

**Amazon Stars**: 4.2/5

**Focus**: Machine Learning

**Difficulty Level**: Beginner

You can buy the book on Amazon here.

*Deep Learning* is a resource intended to help students and practitioners enter the field of machine learning in general and deep learning in particular.

Basically, this book is divided into two part: the first part is all about applied math and machine learning basics. The second part is about deep learning.

In the first part, you'll learn about linear algebra, probability theory, and information theory.

In the second part, you'll learn about feedforward networks, regularization, optimization algorithms, convolutional networks, and many more.

**Price**: $39

**Amazon Stars**: 4.4/5

**Focus**: Deep Learning

**Difficulty Level**: Beginner

You can buy the book on Amazon here.

There is also the online version of the book available for free.

This book introduces the mathematical concepts used in machine learning with a minimum of prerequisites. Each chapter includes examples and exercises to test understanding.

**Price**: $46.49

**Amazon Stars**: 4.7/5

**Focus**: Machine Learning

**Difficulty Level**: Beginner

You can buy the book on Amazon here.

There is also the online version of the book available for free.

*Machine Learning in Action* is a practical book that will teach you how to implement algorithms for data classification, forecasting, recommendations, and more.

This book is like a tutorial for developers to show them the techniques they can use in a day-to-day work.

**Price**: $33.49

**Amazon Stars**: 4/5

**Focus**: Machine Learning

**Difficulty Level**: Beginner

You can buy the book on Amazon here.

*Python Machine Learning By Example is* a book that dives into machine learning algorithms to solve real-world problems.

Topics that are covered in this book include movie recommendation engine development, recognizing faces, predicting stock prices, and many more.

The book provides actionable insights on the key fundamentals of ML to gain a broad picture of the ML ecosystem.

You'll learn how to:

- Build a Movie Recommendation Engine
- Recognize Faces with Support Vector Machine
- Predicting Online Ad Click-Through with Logistic Regression
- Predicting Stock Prices with Regression Algorithms
- and more

**Price**: $34.99

**Amazon Stars**: 4.5/5

**Focus**: Machine Learning and Deep Learning

**Difficulty Level**: Beginner

You can buy the book on Amazon here.

Check out these other great articles:

- 7 Best Machine Learning Courses for Beginners and Advanced
- 10 Best Python Books for Beginners and Advanced Programmers
- 9 Best Django Books for Beginners and Advanced Programmers