When I was do the ML courses, I had problems to create python codes to solve the ML problems. There is always some disconnections between the coding and the actual ML problems.
Until recently, I read a book called Algorithm, which solved all of my questions and queries to create my own ML coding problem.
Thank you for the book recommendation. If anyone is interested, I found out that it can be downloaded for free at this link:
Hi @Nick_Han @Samuel_Chazy
Here is another very good book which helped me to understand ML algos
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow, by Aurélien Géron
Muhammad John Abbas
in addition: @paulinpaloalto created an excellent post on bibliography here: Deep Learning Bibliography
From my personal experience I can underline the mentioned books from Chollet & Goodfellow, too. I read them in 2018 during a 2 week holiday and I learned a lot!
Beautiful guys. I should have posted this topic earlier so we could see all kinds of good books to help the learning.
I am trying to find some good python exercise books but not sure which one is good.
I haven’t until now found a good exercise book for python. What I have been doing until now is taking Coursera courses in the topics that I am interested in.
Thank you so much for sharing the book.