Section 3: Unsupervised Learning and More

If your data is not labeled, then this part will help you find ways to make sense of it. You will learn how to organize a massive dataset, identify outliers in it, and figure out users' preferences based on their past behavior.

This section comprises the following chapters:

• Chapter 11, Clustering – Making Sense of Unlabeled Data
• Chapter 12, Anomaly Detection – Finding Outliers in Data
• Chapter 13, Recommender System – Getting to Know Their Taste