​List of 13 books I've published:

1. Artificial Intelligence with Python (First Edition) - This book is the #1 Best Seller, #1 Most Wished for, and #1 Gift Idea on Amazon in its category. It is centered on building real world Artificial Intelligence applications using Deep Learning, Genetic Algorithms, Reinforcement Learning, Logic Programming, and many more techniques.
   
   
2. Artificial Intelligence with Python (Second Edition) - This book adds 7 new chapters to the first edition of the book. It includes topics such as Recurrent Neural Networks, Chatbots, Speech Recognizer, Intelligent Agents, and more.
   
   
3. Python Machine Learning Cookbook (First Edition) - This book focuses on creating real world Machine Learning applications like recommendation engine, speech recognition, and stock market analysis.
   
   
4. Python Machine Learning Cookbook (Second Edition) - This book helps you discover powerful ways to effectively solve real-world machine learning problems using key libraries including scikit-learn, TensorFlow, and PyTorch.
   
   
5. Python: Real World Machine Learning - This book discusses topics such as image recognition, natural language processing, and large scale data analysis using Hadoop and Spark.
   
   
6. Learn OpenCV 4 By Building Projects - This book explores OpenCV 4 to create visually appealing cross-platform computer vision applications.
   
   
7. Building Computer Vision Projects with OpenCV 4 and C++ - This book delves into practical computer vision and image processing projects to leveraging relevant machine learning algorithms.
   
   
8. Python: Step into the World of Machine Learning - This book is for data scientists looking to build real-world applications using various deep learning algorithms
   
   
9. OpenCV: Computer Vision Projects with Python - This book discusses many interesting applications like gesture recognition, street sign recognition, and facial emotion recognition.
   
   
10. OpenCV with Python by Example - This book focuses on developing Computer Vision applications using real-world examples like visual search, 3D mapping, and augmented reality.
    
    
11. OpenCV 3.x with Python by Example - This book focuses on techniques for object recognition, 3D reconstruction, stereo imaging, and other computer vision applications using examples on different functions of OpenCV.
    
    
12. OpenCV by Example - This book discusses Computer Vision concepts and demonstrates how to build OpenCV C++ applications like object tracking, image segmentation, and OCR.
    ​
13. Build with OpenCV - This book is for developers who want to build Computer Vision applications like image segmentation, automated video analysis, and text recognition using OpenCV and C++.

List of courses that have been created based on my books:

1. Supervised and Unsupervised Learning with Python - Based on my book titled Artificial Intelligence with Python
   
   
2. Deep Neural Networks - Based on my book titled Artificial Intelligence with Python
   
   
3. Heuristic Search - Based on my book titled Artificial Intelligence with Python
   
   
4. Sequence Learning - Based on my book titled Artificial Intelligence with Python
   
   
5. Python Machine Learning Solutions - Based on my book titled Python Machine Learning Cookbook
   
   
6. Python: Step into the World of Machine Learning - Based on my books on Python and Machine Learning
   
   
7. OpenCV 3 by Example - Based on my book titled OpenCV by Example
   ​
8. Build with OpenCV - Based on my books on OpenCV​