Top 7 Essential Free Books for Mastering Machine Learning
Written on
Chapter 1: Introduction to Machine Learning Resources
If you're keen on diving into the realms of machine learning and deep learning, I've compiled a list of my top seven books that can kickstart your journey. Remarkably, all of these resources can be accessed for free, whether through downloads or online reading.
Photo by Erik Mclean on Unsplash
Machine learning and deep learning are among the most rapidly expanding areas in the field of computer science today. They encompass a vast array of applications, such as fraud detection, image identification, natural language processing, predictive analytics, and robotics. Organizations across various sectors leverage the principles of machine learning and deep learning to enhance decision-making, streamline their operations, and improve customer interactions.
The following selections represent the best resources available for gaining knowledge in machine learning and deep learning. Astonishingly, these books are entirely free. Below are the links to access them.
Section 1.1: Recommended Free Books
Learn Python in One Day
The ultimate guide to mastering Python.
Deep Learning — By Ian Goodfellow, Yoshua Bengio, and Aaron Courville (Link)
Neural Networks and Deep Learning — By Michael Nielsen (Link)
Dive into Deep Learning — By Aston Zhang, Zachary C. Lipton, Mu Li, Alexander J. Smola (Link)
Machine Learning Engineering — By Andriy Burkov (Link)
Python Data Science Handbook — By Jake VanderPlas (Link)
Probabilistic Machine Learning — By Kevin P. Murphy (Link)
Machine Learning Yearning — By Andrew Ng (Link)
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