Hackers and Painters: Essays on Technology, Start-ups, and Programming
The following is a review of the book ‘Hackers and Painters: Big Ideas from the Computer Age‘ by Paul Graham, one of the founders of Y Combinator, c...
Books are one of the best tools to learn Machine Learning. There are many great books with many different flavours: programming books, books about maths and algebra, about algorithms, about implementations, and also not so technical books that are great to sharpen your mind and make you wonder about the possibilities, dangers, and mysteries of the field.
In this category you will find the best books from our point of view to guide you in your learning process.
The following is a review of the book ‘Hackers and Painters: Big Ideas from the Computer Age‘ by Paul Graham, one of the founders of Y Combinator, c...
The following is a review of the book by y Sebastian Raschka, author of one of our favourite Machine Learning books for which you can find a review here: P...
Learn to Make your own neural network with this easy introduction to the mathematics and theory behind the most powerful Machine Learning technology! The follow...
A great resource about Machine Learning Ops, the new DevOps for Machine learning pipelines. Check out our review! Introducing MLOPs: The following is a review o...
The book to learn how to turn your Machine Learning models in a productive Data Science Pipeline The following is a review of the book by Ben Weber (Twitter her...
Brilliant, funny…the best statistics teacher you never had! Naked Statistics Review: The following is a review of the book by Charles Wheelan (Twitter here). Al...
Learn statistics while having fun: an amusing, clear, and concise overview The Art of Statistics review – The following is a review of the book by David S...
The best book to learn about Generative Deep Learning: one of the hottest fields of Artificial Intelligence Generative Deep Learning: The following is a review ...
Feature Engineering for Machine Learning: Principles and Techniques for Data Scientists Feature Engineering for Machine Learning: The following is a review of t...
The History of Artificial Intelligence, its victories, hopes, and fears – Artificial Intelligence: A guide for thinking humans The following is a review o...