In this page i will review some books/courses I have taken so far :D

Note : the date is the release/ last update. More stuff to come !

Build a Large Language Model (From Scratch) - Sebastian Raschka

Manning - September 2024

I think it is the best book related to large language models. I got the MEAP version and after the first 4 chapters I knew this book will be a best seller. Wonderfull coding style and the examples were very detailed!

Knowledge Graph-Enhanced RAG - Tomaž Bratanič and Oskar Hane

Manning - November 2024

Short book about RAG and Graph RAG. I learned a lot from this book, mostly the neo4j framework/library. 100% will use the knowladge learned in future projects

Design a Machine Learning System (From Scratch) - Benjamin Tan Wei Hao, Shanoop Padmanabhan, and Varun Mallya

Manning - Publication in Early 2025

Great book for learning the whole pipeline in creating a AI powerd app. What makes this book special (in my opinion) is the fact that it's not using older tools

Modern Computer Vision with PyTorch - V Kishore Ayyadevara Yeshwanth Reddy

packt - November 2020

One of the best resources on computer vision and deep learning. The book covers a lot of areas from computer vision -> generative ai -> reinforcement learning. I recommand this book!

Hands-On Generative Adversarial Networks with PyTorch 1.x: - John Hany Greg Walters

packt - December 2019

I learned a lot of things from this book non-related from the generative ai part. Mostly the coding style of this book makes it special for me. Regarding the sections in this book, the authors did an amazing job!

Machine Learning with PyTorch and Scikit-Learn - Sebastian Raschka Yuxi (Hayden) Liu Vahid Mirjalili

packt - February 2022

This book should be read by everyone who is starting to learn machine learning. What I like about this book is the topics covered as it goes from simple algorithms to transformes and graph neural networks.

PyTorch Computer Vision Cookbook - Michael Avendi

packt - March 2020

Good book about computer vision and different architectures. I enjoyed reading it! Learned cool things from it!

Natural Language Processing with Transformers, Revised Edition - Lewis Tunstall Leandro von Werra Thomas Wolf

O'reilly - May 2022

From this book I learned a lot of recipies regarding the workflow with the hugging face library and I gaind valuable knowladge for future projects!

Deep Learning at Scale - Suneeta Mall

O'reilly - June 2024

Intersting book, Most of the content inside was new to me and the great part was that it was focused not only on the models, but the full stack of deep learning

Deciphering Data Architectures - James Serra

O'reilly - February 2024

Learned new things that I didn't knew they were that important regarding the scaling of data driven applications

Hands-On Large Language Models - Jay Alammar Maarten Grootendorst

O'reilly - September 2024

Well this book was a great book that teached about the large language models workflow.

Dive into Deep Learning - Aston Zhang Zack C. Lipton Mu Li Alex J. Smola

Cambridge - May 2021+

Wow this book its the best book so far for learning deep learning. Not only the coding style, but also the math explanations were amazing to follow.Authors did an amazing job. I liked this book so much I got a physical copy of it!

Understanding Deep Learning - Simon J.D. Prince

The MIT Press - May 2023

Imagine creating this book and making it free + coding tutorials. I don't have words for this book, it is a wonderfull experience reading it.The book is focused on the math part and the notebooks online are very very good

PyTorch for Deep Learning Bootcamp - Daniel Bourke

ZTM Academy - May 2024

My first course on deep learning + pytorch. Learned a lot from this and it was a kickstart for my 'love' for deeplearning and AI :D !

i love learning 📖