Chapter 2. Core Concepts in Machine Learning
The purpose of this chapter is to understand the core concepts of machine learning. We will focus on understanding the steps involved in, resolving different types of problems and application areas in machine learning. In particular we will cover the following topics:
Supervised learning
Unsupervised learning
The recommender system
Model efficacy
A wide range of software applications today try to replace or augment human judgment. Artificial Intelligence is a branch of computer science that has long been trying to replicate human intelligence. A subset of AI, referred to as machine learning, tries to build intelligent systems by using the data. For example, a machine learning system can learn to classify different species of flowers or group-related news items together to form categories such as news, sports, politics, and so on, and for each of these tasks, the system will learn using data. For each of the tasks, the corresponding algorithm would...
