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15 Books to learn Python and Machine learning !

Python

You want to learn machine learning and Python, but you don’t know which book to read? It’s hard to find a book that suits your level.

This article also introduces the steps to learn machine learning and recommends books that go along with it.

Find a book that suits you and start studying machine learning!

Table of Contents

  • Benefits of learning machine learning/Python from books
    • Can be learned systematically
    • Cheap to learn
  • Tips for choosing machine learning/Python books
    • Choose books that match your level and skills
    • Clarify the purpose of learning and then choose
    • Look up book reviews and ratings
  • 15 Recommended Machine Learning/Python Books
    • For beginners (those who don’t know much about machine learning and Python)
    • For intermediate users (Those who understand the basics of machine learning and Python)
    • For advanced users (Those who can master machine learning and Python and implement and utilize it)
  • Summary

Benefits of learning machine learning/Python from books

There are two benefits to learning machine learning and Python using books:

  1. Can be learned systematically
  2. Cheap to learn

Can be learned systematically

The first is to learn systematically. Books organize knowledge systematically, making it easier to remember.

For example, if it is deep learning, the knowledge and technology about deep learning are summarized. Therefore, you can search for the content you want to learn and study only the relevant part, and if you do not understand something while studying other fields, you can easily go back and review it.

Cheap to learn

Second, it’s cheap to learn. Even expensive books can be bought for around 4,000 yen, and cheap ones sell for around 1,000 yen.

Even if you can’t study because it costs money to go to school, if you study with books, you can start studying easily without paying for books. However, in this case, you will be self-taught, so it is important to choose a book that suits your level and purpose.

Tips for choosing machine learning/Python books

Here are three tips for choosing machine learning and Python-related books.

  1. Choose books that match your level and skills
  2. Clarify the purpose of learning and then choose
  3. Look up book reviews and ratings

Choose books that match your level and skills

The first point is to choose a book that matches your level and skills.

Just as the contents of textbooks became more difficult as the grade level increased, the difficulty level of the contents of machine learning and Python related books is different.

Choose a book based on how much you understand it now.

Clarify the purpose of learning and then choose

The second is to clarify the purpose of learning.

As mentioned above, the contents of each book are different. Therefore, make it clear what kind of skills and knowledge you want to acquire by reading books before choosing.

Look up book reviews and ratings

The third is to look at book reviews and ratings.

Reviews are written by people who have actually read the book. There are also things that only the person who actually read the book will know, such as what kind of knowledge you got from reading the book and how difficult it was.

However, not one review is correct. It is necessary to compare good reviews and bad reviews.

So while it can be tedious, it’s also important to look at multiple reviews and ratings.

15 Recommended Machine Learning/Python Books

Here are 15 recommended machine learning /Python related books divided into three categories: beginner, intermediate, and advanced.

Here, they are classified as follows.

  • Beginners: Those who do not know much about machine learning and Python
  • Intermediate: Those who understand the basics of machine learning and Python
  • Advanced: Those who can master machine learning and Python and implement and utilize them

For beginners (those who don’t know much about machine learning and Python)

First of all, I will introduce 5 books for beginners.

  1. Python 1st grade Experience and understand! Learn through conversation! How programming works
  2. Python picture book 9 doors to learn Python in a fun way
  3. Python programming from scratch
  4. Easy to understand Python
  5. Python Start Book Expanded and Revised Edition

I will explain each below.

Python 1st grade Experience and understand! Learn through conversation! How programming works

This is a book for Python beginners to learn programming mechanisms interactively while creating simple samples.

The 1st grade series has the following features.

  • Explanations are given in an interactive format, and basic knowledge is explained with illustrations.
  • Basic grammar is well explained so that even beginners can learn with confidence.
  • Simple and simple samples are provided, so you can experience the program with confidence.

Python picture book 9 doors to learn Python in a fun way

Assuming that you don’t know anything about programming, we will explain Python from the basics, and then introduce characteristic functions such as lists and functions. It also includes practical content, such as introducing programming samples at the end of the chapter.

The picture book series has the following features.

  • Many pictures are used, and the short explanations are visually comprehensible like a picture book.
  • Speedy learning with 2-page explanations and content focused on the basics.
  • No prior knowledge required. Start with “What is programming?”
  • Follow up on things you want to know as knowledge, such as the features of Python and the mechanism of execution.
  • Explains the basics of classes/objects.

Python programming from scratch

This is an introductory book that teaches the basic knowledge of grammar and programming in an easy-to-understand and polite manner for beginners who are new to ” Python ” .

  • I don’t know what to learn from
  • Learning Python for the first time / I want to learn from the basics again
  • I want to acquire the basics that can be used in the field

It is a recommended book for those who say.

Easy to understand Python

The goal is to acquire standard knowledge of Python for “people who learn programming for the first time”. We carefully explain the minimum necessary knowledge so that you can understand and acquire the basics.

Python Start Book Expanded and Revised Edition

Illustrations and samples that can be understood without programming knowledge are used. Furthermore, as an application of programming, the basics of web application development and data processing are also explained. From the basics to object-oriented programming that makes full use of data types, we will happily explain programming unique to Python.

For intermediate users (Those who understand the basics of machine learning and Python)

Next, I will introduce five books for intermediate students.

  1. Self-studyPython
  2. Python [Complete] Introduction
  3. Learn by moving! Introduction to Python Django Development
  4. Introduction to Python Practice
  5. Python trick

I will explain each below.

Self-studyPython

Taking advantage of the strength of the self-study series, which is the ability to learn by hand (write, execute, and check the results) , the basic language specifications of Python, the standard library, user-defined functions, object-oriented syntax, modules, etc. I will explain in detail and carefully while showing a sample program .

Even if you do not have basic knowledge of programming, explanation → example (sample) → comprehension check

In these three steps, you can systematically acquire the knowledge, concepts, and functions necessary for programming in Python .

Python [Complete] Introduction

From the basics to the knowledge necessary for application development, this is a new Python programming textbook that allows you to learn firmly and easily “with this one book”.

The basics are explained in an easy-to-understand manner so that even those who do programming for the first time can read with confidence. In addition, many practical samples such as “AI”, “scraping”, “database”, and “web programming” are posted so that you can immediately start developing the latest applications.

Learn by moving! Introduction to Python Django Development

This book explains how to develop web applications using the popular framework “Django”.

Basics of designing and creating web applications using Django, basics of creating dynamic functions (form creation), basics of authentication processing, basics of linking with databases (diary function), basics of linking with clouds (including deployment) , you can learn the basics of security.

Introduction to Python Practice

I will introduce the practical usage of the functions of Python. It can be used in any field because it mainly deals with Python specifications, its characteristic functions, and what the standard library can do.

Python trick

Based on various samples such as list comprehension and string formatting, we will teach the functions and features of Python in depth to beginner programmers who have finished the introductory book, and to veterans who plan to learn Python from other languages. will teach you the differences in how you write code.

  • Learn Python features with short examples
  • You can learn functions unique to Python in a buffet style
  • Promote understanding of Python programming

There is a feature.

For advanced users (Those who can master machine learning and Python and implement and utilize it)

Here are five books for advanced learners.

  1. Move and learn with Python! A new machine learning textbook
  2. Can be used on site! Introduction to Python Machine Learning Theory and Practice of Machine Learning Algorithms
  3. Move and learn with Python! A new mathematics textbook Basic knowledge necessary for machine learning and deep learning
  4. Perfect Python
  5. Introduction to deep learning implementation Image and natural language processing with PyTorch impress top gear series

We will explain each below.

Move and learn with Python! A new machine learning textbook

This book allows you to learn the basics of machine learning while actually programming in Python based on your knowledge of mathematics.

While reviewing the learning content with “organization of key points”, it provides easy-to-understand explanations that connect formulas and codes.

Can be used on site! Introduction to Python Machine Learning Theory and Practice of Machine Learning Algorithms

This book explains the basics and practical methods of machine learning.

It also explains how to prepare the development environment for machine learning, how to use it in the actual field, and the theoretical part that tends to be a black box, and how to use the machine learning model in combination with data aggregation and formatting.

Move and learn with Python! A new mathematics textbook Basic knowledge necessary for machine learning and deep learning

This book provides easy-to-understand explanations of the basic knowledge of mathematics such as linear algebra, probability, and statistics/differentiation. I would like to learn about AI, but I can especially recommend it to those who feel that studying mathematics is difficult.

This book is easy to understand because it is assumed that the target readers of this book are people with a liberal arts background and non-engineers.

Perfect Python

From Python’s language specifications and philosophy, solutions to problems you actually face, to a wide range of third-party libraries, you can acquire knowledge of Python with this one book.

Recommended for those who want to know the latest Python 3.8 information, and those who can write logic in Python but want to take a step further.

Introduction to deep learning implementation Image and natural language processing with PyTorch impress top gear series

Among the machine learning methods, we focus on deep learning in particular, and summarize the knowledge for its practice from the basics. From the introduction of ” artificial intelligence “, ” machine learning ” and ” deep learning ” as concepts, we will explain how to summarize mathematical knowledge, how to use programming and frameworks, and how to build environments.

Summary

I introduced the benefits of learning from books, tips for choosing books, and recommended books for beginners, intermediate, and advanced students.

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