Chapter 9. Classical Machine Learning with TensorFlow

Machine learning is an area of computer science that involves research, development, and application of algorithms to make computing machines learn from data. The models learned by computing machines are used to make predictions and forecasts. Machine learning researchers and engineers achieve this goal by building models and then using these models for predictions. It’s common knowledge now that machine learning has been used highly successfully in various areas such as natural language understanding, video processing, image recognition, speech, and vision.

 

 

Let's talk about models. All of the machine learning problems are abstracted to the following equation in one form or another:

Here, y is the output or target and x is the input or features. If x is a collection of features, we also call it a feature vector and denote with X. When we say model, we mean to find the function f that maps features to targets. Thus once we find f, we can...