Machine Learning on the Web
Overview
In the final part of the course, we take a brief peek into using machine learning models in web applications. We start with a brief overview of machine learning, and then look into how to train one. This is followed by a look into how to set up a machine learning model in a container and use it in a web application. Finally, we discuss the possibility of using machine learning models from a third-party service, and highlight using machine learning models on the client.
This part is structured as follows:
- Machine Learning Overview provides a brief overview of machine learning and how to train a model.
- Training a Machine Learning Model discusses how to train a machine learning model using the scikit-learn library.
- Creating a Machine Learning API shows how to set up a machine learning model in a container and use it in a web application.
- Using a Third-Party Machine Learning Service discusses the possibility of using machine learning models from a third-party service.
- Using Machine Learning Models on the Client highlights using machine learning models on the client.
- Overarching Project continues with the overarching project.
Finally, at the end of the part, there is a recap and feedback chapter that briefly summarizes the part and asks for feedback on the part.