Index
1 Introduction to Machine Learning
This section provides an overview of machine learning, explaining the difference between supervised and unsupervised learning. It covers the basic concepts of training data, testing data, and the process of model training.
2 Understanding Decision Trees
Decision trees are a fundamental concept in machine learning. This chapter explores how decision trees work, including how they make decisions based on input features and how to interpret and use decision tree models.
3 Exploring Neural Networks
Neural networks are a key component of deep learning and artificial intelligence. In this section, you will learn about the structure of neural networks, including layers, nodes, and activation functions. The training process and applications of neural networks will also be discussed.
4 Practical Applications of Machine Learning
This chapter delves into real-world applications of machine learning, such as image recognition, natural language processing, and recommendation systems. You will explore how machine learning is used in various industries and everyday technologies.