Resistive Switching Systems for In-Memory Computation and Artificial Intelligence

Hands-On Machine Learning with Scikit-Learn, Keras, and Tensorflow

Concepts, Tools, and Techniques to Build Intelligent Systems

Prompt Engineering for Generative AI

Future-Proof Inputs for Reliable AI Outputs

Effective Machine Learning Teams

Best Practices for ML Practitioners

Practical Machine Learning for Computer Vision

End-to-End Machine Learning for Images

Decision-Making and Analytics

Data-Driven Business Intelligence and Optimization

Artificial Intelligence in Tribology

Advances in Surface Engineering and Tribology

The Conscious Code

From Artificial Intelligence to Artificial Consciousness

The Conscious Code

From Artificial Intelligence to Artificial Consciousness

Mathematical Foundations of Deep Learning

Theory and Algorithms

Mathematical Foundations of Deep Learning

Theory and Algorithms

Computational Approaches to Emotion in Artificial Psychology

Computational Approaches to Emotion in Artificial Psychology

Recursive Filtering of Networked Systems with Communication Protocol Scheduling

Large Language Models and Prompt Engineering

A Comprehensive Guide with Practical Applications

Practical Applications of Artificial Intelligence in Education

For Early Childhood Education, Primary, Secondary, Baccalaureate and Vocational Training

Hands-On Machine Learning with Scikit-Learn and Pytorch

Concepts, Tools, and Techniques to Build Intelligent Systems

Intelligent Estimation

A Soft Computing Paradigm

Neural Interfaces

Bridging Cognitive Neuroscience and Artificial Intelligence

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 and Data Career

Machine Learning with Python Cookbook

2nd Edition - Practical Solutions from Preprocessing to Deep Learning

An Introduction to Large Language Models