There are many resources available online that help you learn machine learning from scratch.
But if you follow the traditional approach, programming books is the best approach to get started. So here are the Best Python Machine learning books for absolute Beginners to master the core concept.
Best Machine learning books for Beginners in Python
Machine learning is a field where we give computers the capability to learn without hardwiring everything in it.
This gives computers the capability to learn and apply that concept somewhat like humans.
While with current technology it’s not possible for machines to learn as we humans do, by applying various machine learning techniques we can train them to do some specified tasks.
The driverless car, which is driven by AI is a prime example of how far we can go with machine learning.
If you wish to develop an AI, you first have to learn machine learning.
There are various resources that can help in that area.
But books, are the most straightforward way to ensure that you understand each of the core concepts required.
Hence here I am going to share the Best Books to learn machine learning in Python.
Machine Learning for Absolute Beginners: A Plain English introduction, 3rd edition
This book is specifically geared toward Beginners.
Without using technical jargon (Which is difficult to understand for beginners) this book will introduce the core concept of machine learning in simple-to-understand English.
While you may not achieve “True Master” by just reading this book, you will become confident enough to start in the field of Machine learning.
Furthermore, if you have Kindle Unlimited subscription, you can download this book for free.
Hands-on Ml with Scikit-Learn, Keras, and TensorFlow
If you prefer a practical approach where you just learn the basic concept and go to project building, you can go for Hands-on Ml with Scikit-Learn, Keras, and TensorFlow by Aurelien Geron.
This book teaches you concrete real-world examples with the minimal theory of the most popular Machine learning libraries such as Scikit-Learn, Keras, and Tensorflow.
It provides you with a number of diffrent techniques and exercises to master all important aspects of machine learning.
Machine Learning for Dummies
This is the book that you can consider an entry-level guide to machine learning.
This isn’t a complex book like mentioned above but it will help you understand core concepts used in machine learning.
You will also learn the history of AI and machine learning, how to use datasets, and build your own models.
With Python, this book also includes explanations for R (Which is another language used in Data science and machine learning).
Python Machine Learning: Machine Learning and Deep Learning with Python
Python Machine Learning: Machine Learning and Deep Learning with Python by Sebastian Raschka is all about applied machine learning.
This book also helps you build a solid foundation in machine learning theory.
It provides you with clear and intuitive explanations of Python Machine learning core concepts, Tensorflow 2, Generative adversarial network models, and reinforcement learning.
Deep Learning with Python
Deep learning is a learning technique that is used in computer science to teach computers.
It’s a key technology behind lots of AI-based technologies like Driverless cars, voice control systems, and so on.
Under these techniques, we teach computers what comes naturally to humans.
Deep learning is a major part of machine learning and if you are going to focus on that you should consider reading Deep Learning with Python, Second Edition by François Chollet.
This helps you learn concepts such as computer vision, natural language processing, generative models, and so on.
Python Machine learning by Example
Similar to Hands-on machine learning “Python machine learning by example” also follows a practical approach to help you master machine learning concepts.
This book offers you easy-to-follow step-by-step examples that help you get started with Python ML.
Introduction to Machine learning with Python – A Guide for Data Scientists
Most of the programs do learn Data science before deep diving into machine learning.
If you already studied data science and have confidence enough in your skill – Introduction to machine learning with Python – A guide for data scientists books is for you.
This book covers all the steps required to create a successful machine learning application sci-kit-learn library.
Machine learning for Hackers: Case Studies and Algorithms to get you started
If you are a skilled and experienced Python programmer – “Machine Learning for hackers” is for you.
This book unlike most of the other books geared toward Python programmers who are quite good with programming.
It focuses on the specific problems in machine learning and provides you with case studies and algorithms to get you started.
Mathematics for machine learning
Mathematics for machine learning book by Marc Peter Deisenroth, A. Aldo Faisal, and Cheng Soon Ong gives you an introduction to the mathematical concepts that you needed in machine learning.
Machine learning requires borrowing lots of Mathematical concepts and in order to be a fully independent creator you need need to at least have a basic understanding of those topics.
Which Python book is best for Machine Learning?
The very best book to master machine learning depend on what you want to learn and the approach. Hands-on Ml with Scikit-Learn, Keras, and TensorFlow book teaches you ML with a practical approach. However, if you are a complete beginner and want to go with a book with less technical jargon, go with Machine Learning for Absolute Beginners.
What is the best book for machine learning in Python for beginners?
Hands-on Ml with Scikit-Learn, Keras, and TensorFlow is the best book if you basic understanding of Python. Using this book you can start developing your own projects.
Is Python good for machine learning?
There are few languages available to develop artificial intelligence. Python is the most popular language in the field of Data Science and machine learning. There is huge community support and documentation is available for almost anything. This makes Python the very best option if you are to enter the field of data science.
Is Data Science required to start machine learning?
Other than a programing language (i.e Python) there is no specific requirement to start with machine learning. Machine learning is applied in data science. If you pick a good resource you will learn DS along with it.
How much Python knowledge is required for machine learning?
You should be familiar with and comfortable with writing Python code. The more you know the easier it is to learn.
Which is the best book for deep learning in Python
If you are to just learn Deep learning you can you can start with Deep Learning with Python by Francois Chollet. However, most of the books shared above include all aspects of machine learning.
How can download free machine-learning books?
If you don’t want to buy books there are some free python machine-learning ebooks available on the internet. You can also use websites such as W3School, GeeksforGeeks, and Tutorial Point to learn Python online.
Which is the Best book to learn Mathematics for Machine learning?
Mathematics for machine learning book by Marc Peter Deisenroth, A. Aldo Faisal, and Cheng Soon Ong is the ideal place to start learning the math necessary for machine learning.