Machine Learning with Pytorch and Scikit-Learn
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...
The best books to learn Machine Learning: introductory, medium and advanced level books for all the publics.
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...
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...
Deep Learning for Coders with Fastai and PyTorch: AI Applications Without a PhD The following is a review of the great fastai python book by Jeremy Howard &...
The best Natural Language Processing book for everyone The following is a review of the book by Sawmya Vajjala, Bodhisattwa Majumder, Anuj Gupta & Harshit S...
What is Pattern Recognition? How is it related to Machine Learning? Answer these questions and a lot more with the famous book Pattern Recognition and Machine L...
An amazing introduction to how Deep Learning works under the hood, a small glance of what is inside the black box of Artificial Neural Networks: Grokking Deep L...