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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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  • R
  • 61 hours
  • 15 courses
1
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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

3
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Unsupervised Learning in R

This course provides an intro to clustering and dimensionality reduction in R from a machine learning perspective.

4 hours
Photo of Hank Roark
Hank Roark

Senior Data Scientist, Boeing

Instructors

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Brett Lantz

Data Scientist at the University of Michigan

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John Mount

Co-founder, Principal Consultant at Win-Vector, LLC

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Hank Roark

Senior Data Scientist, Boeing

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