Recurrent Neural Networks for Temporal Data Processing

Mathematics of Uncertainty Applied to Global Issues

Sustainability, Mistreatment of Women, Nuclear Power, Smart Cities, Digitalization

Hands-On Machine Learning with Scikit-Learn and PyTorch

Concepts, Tools, and Techniques to Build Intelligent Systems

Effective Machine Learning Teams

Best Practices for ML Practitioners

Practical Machine Learning for Computer Vision

End-to-End Machine Learning for Images

An Introduction to Large Language Models

An Introduction to Large Language Models

Machine Translation

Best Practices using Deep Learning and Generative AI

Superhuman

Beyond the Limits of Our Intelligence

Fuzzy Theory Applications in Engineering

Fuzzy Theory Applications

Network Models in Finance

Expanding the Tools for Portfolio and Risk Management

Deep Learning from Scratch

Building with Python from First Principles

Deep Learning

Principles and Implementations

Machine Learning Interviews

Kickstart Your Machine Learning Career

Machine Learning with Python Cookbook

2nd Edition - Practical Solutions from Preprocessing to Deep Learning

Artificial Intelligence

3rd Edition - Foundations of Computational Agents

Data and Model-Centric Artificial Intelligence for Industry 5.0

Brain-Inspired AI for Sustainable Development

Knowledge-based Engineering for Innovation

Quantum Machine Learning

Theory, Algorithms, and Practical Implementation

Rearchitecting LLMs

Structural techniques for efficient models

An Introduction to Deep Reinforcement Learning

Vector Databases

A Practical Introduction

Agentic Mesh

The Genai-Powered Autonomous Agent Ecosystem

Deep Learning in the Visual Domain

Backpropagation in Theory, Code and Practice for Convolutional Networks and Vision Transformers

Large Language Models and Secure Code Generation