Chapter 2. Algorithms for Machine Learning – Preparing for Deep Learning
In the previous chapter, you read through how deep learning has been developed by looking back through the history of AI. As you should have noticed, machine learning and deep learning are inseparable. Indeed, you learned that deep learning is the developed method of machine learning algorithms.
In this chapter, as a pre-exercise to understand deep learning well, you will see the mode details of machine learning, and in particular, you will learn the actual code for the method of machine learning, which is closely related to deep learning.
In this chapter, we will cover the following topics:
- The core concepts of machine learning
- An overview of popular machine learning algorithms, especially focusing on neural networks
- Theories and implementations of machine learning algorithms related to deep learning: perceptrons, logistic regression, and multi-layer perceptrons
