Textbook in PDF format

Harness the power of Artificial Intelligence (AI) with Python and develop intelligent systems that drive real-world impact. This comprehensive guide takes you from the fundamentals of AI to advanced techniques, equipping you with the tools to build cutting-edge solutions. Designed for both beginners and experienced developers, this book covers essential topics such as machine learning, deep learning, natural language processing (NLP), reinforcement learning, and AI-driven automation. Through hands-on projects and practical examples, you'll gain the skills to develop AI applications that analyze data, recognize patterns, and make autonomous decisions.
Preface
Introduction to Python for AI
Understanding Data and Its Importance
Introduction to Machine Learning
Supervised Learning: Classification Techniques
Supervised Learning: Regression Techniques
Unsupervised Learning: Clustering Techniques
Neural Networks and Deep Learning Basics
Natural Language Processing (NLP)
Fundamentals
Reinforcement Learning Introduction
AI Ethics and Best Practices
Deploying AI Models
Appendix A: Tutorials
Appendix B: Glossary of Term