Getting Started with TensorFlow

Chapter 3. Starting with Machine Learning

In this chapter, we will cover the following topics:

• Linear regression
• The MNIST dataset
• Classifiers
• The nearest neighbor algorithm
• Data clustering
• The k-means algorithm

The linear regression algorithm

In this section, we begin our exploration of machine learning techniques with the linear regression algorithm. Our goal is to build a model by which to predict the values of a dependent variable from the values of one or more independent variables.

The relationship between these two variables is linear; that is, if y is the dependent variable and x the independent, then the linear relationship between the two variables will look like this: y = Ax + b.

The linear regression algorithm adapts to a great variety of situations; ...