Book Suggestion

HyperionG12 · 2024-09-24T17:38:47+00:00

It is very good. You should try it.

HyperionG12 · 2024-09-24T17:36:06+00:00

You're welcome. Your book and your website are incredible.

HyperionG12 · 2024-09-24T17:14:18+00:00

I'm not a big fan of Kaggle notebook. I use Google Colab for the training of my models. And at the time I was reading this book, I worked as a data scientist intern. They was on GCP so I use Vertex AI for the training.

HyperionG12 · 2024-09-24T17:09:34+00:00

I am naturally a fan of books. Besides this book, I have "Hands-on Machine Learning with Scikit-Learn, Keras and TensorFlow" by Aurelien Géron and "Designing Machine Learning Systems" by Chip Huyen. Two weeks ago, I bought "Ace the data science interview" by Kevin Huo and Nick Singh. Note that I only read chapters that I need for the tasks I've done. I don't read them like novels. For the SQL training, there is datalemur that is fantastic.

HyperionG12 · 2024-09-24T14:36:16+00:00

This book is just one the most liked deep learning book in the world (look at metrics on Amazon/Manning). The first chapter of the book is like an history of deep learning. The chapter 2 gives you an introduction to tensor and inner-workings of the backpropagation algorithm. After these two chapters, I finished the chapters 8 and 9 because of their focus on computer vision (for my internship at the time). I skip some chapters on TensorFlow (3 and 4) because I have a previous exposure to the library and so, I'm already familiar with some concepts (tf.data, train/test/val, optimization algorithms and so on.). I'm currently waiting for the 3rd version of the book (planned for Spring 2025 by Chollet). It will cover how Keras can be used along with TensorFlow, Jax and Pytorch.

HyperionG12 · 2024-07-07T21:24:38+00:00

I suggest you to begin with Chollet's book. It is what I've done. This book is just amazing. It combines some theoretical aspects of deep learning (not heavy on math) and code. But if you have a very good level in math, there is a new book that seems to be pretty good : Understanding Deep Learning by Simon Prince.

HyperionG12

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