Python For Beginners

how to prompt AI for Professionals

How Deep Learning Works

An Experiment-First Guide for Programmers

Sutskever's List

Foundational ideas of modern AI

The Aesthetics of Machine Vision

Critical Terms and Ideas

Hands-On Image Processing with Python

Advanced methods for analyzing, transforming, and interpreting digital images

Machine Learning for Time Series with Python

Use Python to forecast, predict, and detect anomalies with state-of-the-art machine learning methods

The Agentic Architect

AI and the Resurgence of Practice

Artificial Intelligence for Neuroscience, Mental Health, and Neurodegenerative Disorders

11th International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2026, Canary Islands, Spain, May 26-29, 2026, Proceedings, Part I

Bioinspired Intelligent Systems: From Robotics and Computer Vision to Trustworthy Applications

11th International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2026, Canary Islands, Spain, May 26-29, 2026, Proceedings, Part II

Artificial Intelligence and the Future of News

Agency, Power, and Authority

Accelerating Deep Neural Networks

Reinforcement Learning Explained

A Practical Problem-Solving Approach

AI Projects with Raspberry Pi

High-performance artificial intelligence for robotics, security, home automation, and vision

Beyond Slop

Professional AI image creation

Beyond Hallucinations

How the value of AI transcends its flaws

Intelligent Care

AI and the Future of Medicine

The Creator's Unfair Advantage

Reliable AI Under Distribution Shift

Architectures and Evaluation for Real-World Systems

AI Productivity Blueprint

10X Your Work Using ChatGPT and Modern AI Tools

THE AGENTIC ENTERPRISE

AI Nation Rising

The Smartest Kid In The Room

Everything Your School Has Not Told You Yet. How Young People Can Use Artificial Intelligence to Think Bigger, Move Faster, and Build Something Real

IGNOU MCA Digital Image Processing and Computer Vision Unsolved Paper Book MCS 230

IGNOU MCA Unsolved Books Series : Book 14

PyTorch Machine Learning

Practical Guide to Building, Training & Deploying Deep Learning Models with Python