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IBM Machine Learning

Joseph Santarcangelo, Mark J Grover, Miguel Maldonado, Xintong Li, and Kopal Garg

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What's inside

Two courses

Specialized Models: Time Series and Survival Analysis

(11 hours)

This course introduces additional topics in Machine Learning that complement essential tasks, including forecasting and analyzing censored data. You will learn how to find analyze data with a time component and censored data that needs outcome inference.

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Deep Learning and Reinforcement Learning

This course introduces Deep Learning and Reinforcement Learning, two sought-after disciplines in Machine Learning. Deep Learning, a subset of Machine Learning, is used in many AI applications. Reinforcement Learning is a promising area of research in AI. By the end of this course, you should be able to:

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Time

660 hours

Via

Coursera

Institution

IBM

Instructors

Joseph Santarcangelo

Mark J Grover

Miguel Maldonado

Xintong Li

Kopal Garg

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