Using this abstraction, you will focus on understanding tasks of interest, matching these tasks to machine learning tools, and assessing the quality of the output. This first course treats the machine learning method as a black box. Through hands-on practice with these use cases, you will be able to apply machine learning methods in a wide range of domains. At the end of the first course you will have studied how to predict house prices based on house-level features, analyze sentiment from user reviews, retrieve documents of interest, recommend products, and search for images. In this course, you will get hands-on experience with machine learning from a series of practical case-studies. Do you have data and wonder what it can tell you? Do you need a deeper understanding of the core ways in which machine learning can improve your business? Do you want to be able to converse with specialists about anything from regression and classification to deep learning and recommender systems?
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