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Machine Learning Scientist with R

Master the essential skills to land a job as a machine learning scientist! You'll augment your R programming skill set with the toolbox to perform supervised and unsupervised learning. You'll learn how to process data for modeling, train your models, visualize your models and assess their performance, and tune their parameters for better performance. In the process, you'll get an introduction to Bayesian statistics, natural language processing, and Spark.

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Supervised Learning in R: Classification
In this course you will learn the basics of machine learning for classification.
4 hours
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Brett Lantz

Data Scientist at the University of Michigan