Overview of ML algorithms
The field of machine learning has seen the development of numerous algorithms, with ongoing research and innovation from both academia and industry. In this section, we will explore several well-known traditional and deep learning algorithms, examining their applications across various types of machine learning problems. Before we delve into these algorithms, it's important to discuss the factors to consider when selecting an appropriate algorithm for a given task.
Consideration for choosing ML algorithms
When choosing a machine learning algorithm, there are several key considerations to keep in mind:
- Problem type: Different algorithms are better suited for specific types of problems. For example, classification algorithms are suitable for tasks where the goal is to categorize data into distinct classes, while regression algorithms are used for predicting continuous numerical values. Understanding the problem type is crucial in selecting the most appropriate...
