Chapter 3: Machine Learning Algorithms
Machine learning (ML) algorithm design is usually not the main focus for a practitioner of ML solutions architecture. However, ML solutions architects still need to develop a solid understanding of the common real-world ML algorithms and how those algorithms solve real business problems. Without this understanding, you will find it difficult to identify the right data science solutions for the problem at hand and design the appropriate technology infrastructure to run these algorithms.
In this chapter, you will develop a deeper understanding of how ML works first. We will then cover some common ML and deep learning algorithms for the different ML tasks, such as classification, regression, object detection, recommendation, forecasting, and natural language generation. You will learn the core concepts behind these algorithms, their advantages and disadvantages, and where to apply them in the real world. Specifically, we are going to cover the...
