Machine Learning Book Tutorial

Welcome to the book tutorial on machine learning! In this section, we will explore the basics of machine learning and its applications.

Key Concepts

• Supervised Learning: A type of machine learning where the model learns from labeled training data.
• Unsupervised Learning: A type of machine learning where the model learns from unlabeled training data.
• Reinforcement Learning: A type of machine learning where the model learns to make decisions by performing actions and receiving rewards or penalties.

Practical Examples

• Neural Networks: Used in image and speech recognition.
• Support Vector Machines (SVM): Used for classification and regression.
• Decision Trees: Used for classification and regression.

Learning Resources

• Deep Learning Book

Related Images

Neural Networks

Support Vector Machines (SVM)

Decision Trees