-
Learn foundational machine learning skills in the Intro to Machine Learning Nanodegree program and learn how to apply these skills to a variety of tasks. In the Machine Learning Engineer Nanodegree program, learn how to create a machine learning product and deploy machine learning models to a production environment, such as a web application.
Build a solid foundation in Supervised, Unsupervised, and Deep Learning. Then, use these skills to test and deploy machine learning models in a production environment.
Overview
Syllabus
-
- Supervised Learning
- In this lesson, you will learn about supervised learning, a common class of methods for model construction.
- Deep Learning
- In this lesson, you’ll learn the foundations of neural network design and training in PyTorch.
- Unsupervised Learning
- In this lesson, you will learn to implement unsupervised learning methods for different kinds of problem domains.