AUDIOBOOK
About
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
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