Location:Training / Machine Learning/Algorithm / Machine Learning Fundamentals: Case Studies (University of Washington) / calculating-tf-idf-vectors

In this course, you'll gain hands-on experience with machine learning from a series of practical case studies. By the end of the first course, you will study how to predict house prices based on house characteristics, analyze sentiment from user reviews, retrieve documents of interest, recommend products, and search for images. Through hands-on practice using these use cases, you will be able to apply machine learning methods in a wide range of domains.