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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