_Detailed Notes for Machine Learning Foundation Course by Microsoft Azure & Udacity, 2020 on Lesson 5 — _Applications of Machine Learning

In this lesson, you will learn about the most important applications of ML, including deep learning, similarity learning, text classification, feature learning, and anomaly detection.

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Similarity Learning

• Closely related to classification and regression
• Uses a different type of objective function
• Often used in recommendation systems
• Often used in solving verification problems (speech, face, etc)

Similarity Learning as a Classification Problem:

• Maps pairs of entities to a finite number of similarity levels (ranging from 0/1 or any number of levels)

Similarity Learning as a Regression Problem:

• Maps pairs of entities to numerical values

Ranking Similarity Learning:

• A variation from the regression approach where the supervision is weakened from an exact measure to ordering measure. This is a better approach to real-life large-scale problems.

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