Book 1: Machine Learning This book is an introduction to basic machine learning and artificial intelligence. It gives you a list of applications, and also a few examples of the different types of machine learning.

Here's a preview of what you'll learn:

Introduction to machine learning

Different applications of machine learning

Introduction to statistics for machine learning

Supervised learning

Unsupervised learning

Reinforced learning

Conclusion

Book 2: Neural Networks

Neural networks are used to model complex patterns for prediction and simulation. It uses the processing pattern used by brain neurons to achieve this. Neural Networks are good at processing complex, non-linear relationships and are used in forecasting, image processing, and character recognition.

Here's what you'll learn:



What are artificial neural networks?

Fundamentals of neural networks

Activation paradigms

Learning paradigms

Multilayer perceptron

Practical application - text recognition

Practical application - image processing

Problems with neural networks

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