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What are the best machine learning books for a beginner?

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Dhiraj Khatri

Aspire to Inspire before you Expire

Software programming has brought new aspects in the evolution of innovation and technology. The increasing innovative approaches being used have increased demand for machine learning in activities. 


As a beginner, it is best to learn about machine learning from the following machine learning books.
You could consider the first machine learning book is “Make your own neural network” by A. Rashid. This book is very good if you wish to learn about logical regression in neural networking. Moreover, it does not require you to have any prior knowledge of machine learning concepts. Another book that you can consider is “Machine learning for absolute beginners” by Theo bald. This book is easily available on Amazon and the concepts are explained in easy, simple language.


The best machine learning book for beginners is “Machine Learning for Dummies.” This book written by Mueller and Massaron introduces beginners to machine learning concepts and coding in Python and R techniques in machine learning. Moreover, it teaches beginners about fraud detection and hacking, helping beginners learn about internet security with machine learning concepts. However, if you are interested in breaking codes, “Machine Learning for Hackers” is the best choice. This book helps programmers learn about machine learning algorithms and know about its applications with several case study examples.


However, some people are more into the use of machine learning algorithms. If you are among those people, Peter Harrington’sMachine Learning in Action” is the best machine learning book for beginners. This book helps you learn machine learning concepts and is extremely helpful for people beginning practice who know python programming language.
Overall, the ultimate best machine learning book for beginners depends on the novice's needs and requirements. So choose machine learning book for beginners based on your needs in machine learning.


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