Machine Learning with PyTorch co-created with Kaggle & AWS
Skills Covered: Introduction to Machine Learning, Supervised Learning, Deep Learning, Unsupervised Learning, PyTorch
ABOUT THIS NANODEGREE
Intro to Machine Learning with PyTorch has been created for students already experienced with Python who aren’t familiar with Machine Learning yet. The course will teach you how to create a machine learning product.
After completing, you will be able to deploy machine learning models to a production environment, e.g. a web application. You will also learn about NN, CNN and RNN, as well as Style Transfer. Getting to know the basics of Supervised, Unsupervised and Deep Learning will be your first step towards testing and deploying the learning models. Students consider Intro to Machine Learning with PyTorch above average, yet quite easy to follow with hands-on sessions.
The course takes 3 months to complete. Before you enroll, make sure you have intermediate Python programming knowledge. Basics of statistics and probability will also be a plus.
LinkedIn ranked AI Specialist as the #1 Emerging Job in 2020, with 74% annual job growth.
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