Jan 29

7 min read

5 Best Machine Learning Books for Beginners and Experienced Engineers

Looking for best Machine Learning books to learn ML in depth? These are the most recommended books on Machine Learning you can read on 2023

Hello guys, if you want to learn Machine learning in 2023 and looking for best resources like Machine learning best books, or machine learning best courses then you have come to the right place.

Earlier, I have shared machine learning best courses and best python books for Machine learning and in this article, I am going to share best books to learn Machine Learning for Beginners in 2023.

Machine learning and artificial intelligence are booming fields in today’s world. This industry has made humanity life’s easier by automating tasks or improving things that we always need such as translation, fraud detection in money transactions, stock prediction before you make an investment and so much stuff that you couldn’t imaging.

Machine learning is the field of making computers able to learn from experience like feeding them with data and expecting output after learning those data like predicting houses price.

When you hear in the news of machine learning applications you think it is impossible for you to make one but that is easy since the core concepts are the same.

In this article, I will review with you some of the best machine learning books that I’ve found online, and most of them require you to have at least some basic understanding of a language known as python so be sure that you are comfortable using this language before taking any book.

5 Best Books to learn Machine Learning For Beginners and Experienced Engineers in 2023

Without wasting anymore of your time, here is a list of best books to learn Machine learning in 2023. These are the best of the best machine learning books I found by going through many reddit posts, hacker news threads Twitter threads, and Quora answers so you can trust these books will help you to learn Machine learning in depth. They are also the most recommend Machine learning books online.

1. Hands-On Machine Learning Scikit-Learn, Keras, and TensorFlow

This book is probably the best and modern book to learn machine learning using python. The book created by Aurélien Géron and will teach you how to build machine learning models and intelligent systems using scikit-learn, Keras, as well as TensorFlow.

Starting by understanding the foundation of machine learning then you will learn classification as well as training models such as linear regression and polynomial regression.

You will also see unsupervised learning and a deep neural network that mimics the human brain to solve complex problems such as recognizing objects and more.

Here is the link to get this book — Hands-On Machine Learning Scikit-Learn, Keras, and TensorFlow

2. The Hundred-Page Machine Learning Book [Most recommended]

Do you think really you can learn machine learning with a 100-page book? Well, this book on amazon created by Andriy Burkov will teach you this topic known as machine learning in a comprehensive way and you will understand how machine learning works mathematically.

The book will cost around $37.95 and it is not intended to be for beginners who want to learn the foundation of machine learning and program artificial intelligence applications using python.

You will learn topics such as the algorithms fundamentals, machine learning, deep learning models, neural network, unsupervised learning, and more.

The Hundred-Page Machine Learning book is also the most recommended Machine Learning book on Internet, you will find the reference of this book everywhere like Reddit, Quora, Twitter, and even on Hacker News. I can’t say much about this book, its definitely worth reading and highly recommend for people who want to learn Machine Learning quickly.

If you want, you can also combine this book with the course from Udemy to get the best of both worlds and get active learning experience.

3. Building Machine Learning Systems with Python

If you are trying to find a book that will cover machine learning in-depth using python then you may need to see this book. The book is created by Willi Richert and Luis Pedro Coelho and costs around $18.49 as a kindle book which is pretty cheap compared to what you will get from reading this book.

You will cover in detail with python code the data visualization first using the famous library matplotlib then you will start your very first machine learning models such as classifying real-world examples as well as clustering and more.

You will also work with text and make the machine understand and interact with the human text using a library called NLTK and learn sentiment analysis using this library. And, if you need a course to go with this book then Machine Learning A-Z: Hands-On Python & R In Data Science course by Kirill Eremenko on Udemy is great one to combine.

4. Introduction to Machine Learning with Python

If you are a professional at python and data science and you want to improve your skills in this field by studying machine learning then you may need to see this book on amazon. The book will cost $9.59 on kindle and created by Andreas C. Müller and Sarah Guido.

The book contains 402 pages and will deep dive you into more complex machine learning models and applications. You will cover topics such as advanced models for evaluation, the fundamentals of machine learning, working with text data using the NLTK library, and more.

Having some previous knowledge of data visualization libraries like matplotlib is a plus, and if you need an online course to go along this book then Python for Data Science and Machine Learning Bootcamp course on Udemy is a nice companion.

5. Python Machine Learning

Another very interesting book to understand both machine learning and deep learning is this book created by Sebastian Raschka and Vahid Mirjalili. The book will cost $17.19 on kindle and this third edition is a comprehensive and deep guide to the topic of machine learning and deep learning using python.

This book acts as a step by step guide to learn this science using python with clear explanation and very deep examples and it is updated compared to the previous edition with using Tensorflow 2.0 and Keras API to make artificial intelligence applications and using the NLTK library to work with text and make sentiment analysis program.

That’s all about the Machine learning best books for beginners in 2023. While Online courses are great to start with Machine Learning, its books which can give you in-depth knowledge. I highly recommend reading books to become Machine Learning engineer in 2023.

The future is looking hot for the topic of machine and deep learning and it is a good time to start reading some books in this field. You can rely also on YouTube videos as well as online courses such as Udemy, Coursera, edX Pluralsight to get more in-depth examples of machine learning.

Other Python, Machine Learning, and Deep Learning Resources you may like

Thanks for reading this article so far. If you like these best Machine learning books for beginners, then please share them with your friends and colleagues. If you have any questions or feedback, then please drop a note.

P. S. — If you like to learn from online resources, then you must check the Andrew Ng’s Machine Learning course on Coursera. He is founder of Coursera and pioneer in field of ML, AI, and Deep learning teaching and learning from his is probably the best way to learn ML in 2023.

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