Bookshelf

Curated reading list of books on machine learning, deep learning, graph neural networks, LLMs, and fiction recommended by Hari Prasad Piridi.

What an astonishing thing a book is. It’s a flat object made from a tree with flexible parts on which are imprinted lots of funny dark squiggles. But one glance at it and you’re inside the mind of another person, maybe somebody dead for thousands of years. Across the millennia, an author is speaking clearly and silently inside your head, directly to you. Writing is perhaps the greatest of human inventions, binding together people who never knew each other, citizens of distant epochs. Books break the shackles of time. A book is proof that humans are capable of working magic.

– Carl Sagan, Cosmos, Part 11: The Persistence of Memory (1980)

Graph Neural Networks 4

Deep Learning on Graphs cover

Deep Learning on Graphs

Graph Neural Networks: Foundations, Frontiers, and Applications cover

Graph Neural Networks: Foundations, Frontiers, and Applications

Graph Neural Networks in Action cover

Graph Neural Networks in Action

Keita Broadwater

Graph Representation Learning cover

Graph Representation Learning

William L. Hamilton

Large Language Models 4

Build a Large Language Model (From Scratch) cover

Build a Large Language Model (From Scratch)

Sebastian Raschka

Building LLMs for Production cover

Building LLMs for Production

Louis-François Bouchard

Hands-On Large Language Models cover

Hands-On Large Language Models

LLM Engineer's Handbook cover

LLM Engineer's Handbook

ML Engineering & Production Systems 2

AI Engineering: Building Applications with Foundation Models cover

AI Engineering: Building Applications with Foundation Models

Designing Machine Learning Systems cover

Designing Machine Learning Systems

Foundations of AI & Machine Learning 7

Approaching (Almost) Any Machine Learning Problem cover

Approaching (Almost) Any Machine Learning Problem

Abhishek Thakur

Artificial Intelligence: A Modern Approach cover

Artificial Intelligence: A Modern Approach

Deep Learning cover

An Introduction to Statistical Learning cover

An Introduction to Statistical Learning

Mathematics for Machine Learning cover

Mathematics for Machine Learning

Marc Peter Deisenroth

Pattern Recognition and Machine Learning cover

Pattern Recognition and Machine Learning

Christopher M. Bishop

Reinforcement Learning: An Introduction cover

Reinforcement Learning: An Introduction

Richard S. Sutton

Fiction & Literature 3

Atlas Shrugged cover

The Da Vinci Code cover

The Da Vinci Code

The Fountainhead cover

The Fountainhead