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Find The Best Books To Learn Python For AI | Expert Recommendations

This article showcases our top picks for the Best Books To Learn Python For AI. We reached out to industry leaders and experts who have contributed the suggestions within this article (they have been credited for their contributions below). We are keen to hear your feedback on all of our content and our comment section is a moderated space to express your thoughts and feelings related (or not) to this article This list is in no particular order.

Machine Learning for Dummies by John Mueller

This product was recommended by Risha Surana from N/A

Regardless of your past programming experience, I can promise you that you will feel like a dummy at least once reading this book. Don’t let that discourage you. For those who are consider themselves visual and tactile learners, Mueller and Massaron do a great job of explaining Machine Learning to those of various levels of experience through interactive Python exercises. If you have never coded before, the book even contains instructions for installing Python. As you get more comfortable with the material—and deeper into the book—the level of difficulty increases. On a side note, you will also get an introduction to language R!

Arduino Programming by Steve Tudor

This product was recommended by Abby from Wellpcb PTY LTD

In this special book, you’re going to be taken from the rudimentary basics of Arduino programming, up all the way to full-fledged prototyping and creating your own amazing DIY Arduino projects in as little time as possible.

Make Your Own Neural Network by Tariq Rashid

This product was recommended by Flora from OurPCB

This Artificial Intelligence reference book is a step-by-step journey through the mathematics of neural networks and making your own using Python. The book starts with very simple ideas, and gradually building up an understanding of how neural networks work. In this fun read, you will also learn to code in python and make your network without having to rely on developers for professionally developed systems!

Python Machine Learning by Sebastian Raschka

This product was recommended by Flora from OurPCB

Python Machine Learning is the perfect book for you if want to improve your machine learning system and methods. It helps you get started from scratch, or it can help extend your data science knowledge.

Python for Data Analysis by Wes McKinney

This product was recommended by Eden Cheng from WeInvoice

The book is the superior one to learn Python as you can get complete instructions for processing, manipulating, cleaning, and crunching datasets in Python. Therefore, the book is reasonably practical, trendy, which provides a robust introduction to data science tools in Python.

Black Hat Python by Justin Seitz

This product was recommended by Eden Cheng from WeInvoice

The book is a precious one where you will learn to create a Trojan command-and-control server utilizing GitHub, identify automation of general malware tasks, sandboxing, screenshotting, and keylogging.

Intro to Python by Paul Deitel

This product was recommended by Caroline Lee from CocoSign

This book takes complex data science and machine language topics and breaks them down into bite-sized portions for the average beginner. It is perfect for anyone looking to get their feet wet with Python.

python machine learning by sebastian raschka

This product was recommended by Caroline Lee from CocoSign

This is the second book to read after learning your way around Python. It dives deeper into machine learning than Intro to Python and even touches on deep learning. However, you might want to stay away from the printed version. Go with the kindle version instead.

Introduction to Machine Learning with Python By Andreas C. Müller

This product was recommended by Harriet Chan from CocoFinder

It is an excellent introduction to Machine Learning without much maths needed. While staying away from detailed mathematics, this book gives a good overview of the most common techniques used in the field, providing basic knowledge of python programming is needed. It provides a good sense of the basics, a walkthrough of scikit-learn and hopefully some intuition about the popular algorithms. It focuses mainly on scikit-learn with some NumPy, pandas, and matplotlib threw in. You could say it’s an in-depth tour of some of the more valuable methods in scikit-learn – classifying, regression, a bit of clustering, PCA, all the different ways to measure the outcome of your model, how to use the beneficial scikit-learn Pipeline to test parameters and models, etc.

Building Machine Learning Systems with Python By Willi Richert

This product was recommended by Harriet Chan from CocoFinder

Machine learning is an intricate philosophy, and it involves a lot of mathematical complexities to bring it into the practice of data analysis. This book simply eradicates those intricacies of programming and the implementation of machine learning algorithms. In all, it makes machine learning code pretty simple. Understanding WHAT is machine learning is not the purpose of this book—however, this book focuses on HOW BEST to implement machine learning algorithms and program it. Let me start with some + and a few – of the books. This book hovers around Python implementation of machine learning, i.e. SCIKIT-LEARN libraries, Scipy and NUMPy.

Hands-On Machine Learning with Scikit-Learn, Keras, and Tensorflow By Aurélien Géron

This product was recommended by Harriet Chan from CocoFinder

This book doesn’t just demonstrate different tools. It gives you a framework to apply to any problem (chapter 2) and how to think about what you’re doing in each phase of an ML project. It contains easy to understand code in Python and covers simple linear regression to RNN and CNNs that were published a few months before the book’s launching. It doesn’t baby you on the math, but it doesn’t go deeper than it needs to either. I think the same can be said for the coding. This book is all about connecting and implementing the basics in a reliable manner.

Artificial Intelligence by Stuart Russell

This product was recommended by Miranda Yan from VinPit

-Learn the latest development in the field of AI -The book covers all the latest field of AI, such as speech recognition, machine translation, autonomous vehicles, and household robotics. -Understand the progress in areas such as probabilistic reasoning, machine learning, and computer vision.

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