Random Numbers and Computers

Machine Learning Algorithms: Handbook: A step-by-step guide to all Machine Learning algorithms with implementation using Python!

Practical Deep Learning: A Python-Based Introduction

AI Engineering: Building Applications with Foundation Models

Math for Programming

LLM Engineer's Handbook: Master the art of engineering large language models from concept to production

How AI Works: From Sorcery to Science

On Intelligence: How a New Understanding of the Brain Will Lead to the Creation of Truly Intelligent Machines

Practical Deep Learning, 2nd Edition: A Python-Based Introduction

Transformers for Natural Language Processing: Build innovative deep neural network architectures for NLP with Python, PyTorch, TensorFlow, BERT, RoBERTa, and more

The Art of Randomness: Randomized Algorithms in the Real World

Predictive Analytics Applications with WEKA

Numbers and Computers

Deciphering Data Architectures: Choosing Between a Modern Data Warehouse, Data Fabric, Data Lakehouse, and Data Mesh

Essential Math for Data Science: Take Control of Your Data with Fundamental Linear Algebra, Probability, and Statistics

A Thousand Brains: A New Theory of Intelligence

Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications

Probabilistic Machine Learning: An Introduction

Machine Learning

TIME-SERIES ANALYSIS: FORECASTING STOCK PRICE USING MACHINE LEARNING WITH PYTHON GUI