Supervised Machine Learning Using TensorFlow 2

In this chapter, we will discuss and exemplify the use of TensorFlow 2 for supervised machine learning problems for the following situations: linear regression, logistic regression, and k-Nearest Neighbors (KNN).

In this chapter, we will look at the following topics:

• Supervised learning
• Linear regression
• Our first linear regression example
• The Boston housing dataset
• Logistic regression (classification)
• k-Nearest Neighbors (KNN)