This is a series of topic related to Machine Learning and Deep Learning which I am currently working on. By the way, in this time, I am also reading a book that I found very interested and most of knowledge covered in this series is from it. It is Hands-On Machine Learning with Scikit-Learn, Keras & TensorFlow, Third Edition . In my opinion, this book is firmly helpful to someone who recently start on AI like me. It provides basic and also advanced neccesary knowledge and skills on this field, like it's title: "Concepts, Tools, and Techniques to Build Intelligent Systems". However, for whom just started reading academic books, It seems pretty boring and difficult in the beginning which can make you give up. Thus, my advice is taking a glance each chapter before you start reading it, taking notes and writing a overview are helpful as well. I hope you have a good experience with this book!
In addition, this series also contains notes and resources I found helpful from Deep Learning subjects which I am studying in this semester.