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Data Science: Machine Learning

Harvard University via edX

1 Review 188 students interested

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Overview

Perhaps the most popular data science methodologies come from machine learning. What distinguishes machine learning from other computer guided decision processes is that it builds prediction algorithms using data. Some of the most popular products that use machine learning include the handwriting readers implemented by the postal service, speech recognition, movie recommendation systems, and spam detectors.

In this course, part of our Professional Certificate Program in Data Science, you will learn popular machine learning algorithms, principal component analysis, and regularization by building a movie recommendation system.

You will learn about training data, and how to use a set of data to discover potentially predictive relationships. As you build the movie recommendation system, you will learn how to train algorithms using training data so you can predict the outcome for future datasets. You will also learn about overtraining and techniques to avoid it such as cross-validation. All of these skills are fundamental to machine learning.

Taught by

Rafael Irizarry

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Review for edX's Data Science: Machine Learning
4.0 Based on 1 reviews

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Nicholas K
4.0 7 months ago
by Nicholas is taking this course right now, spending 4 hours a week on it and found the course difficulty to be medium.
I love the teaching on python. it is well taking me through python. congratulations Harvard university for such a wonderful support that you are giving me
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