Data Science: Machine Learning

Build a movie recommendation system and learn the science behind one of the most popular and successful data science techniques.

( 3 Reviews )

Created by: Rafael Irizarry

Produced in 2015

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Overall Score : 74 / 100

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Course Description

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.

Beginner Level

Instructor Details

Rafael Irizarry

3.7 Rating
3 Reviews

Rafael Irizarry is a Professor of statistics at the Harvard T.H. Chan School of Public Health and a Professor of statistics and Computational logy at the Dana Farber Cancer Institute. For the past 15 years, Dr. Irizarry's research has focused on the analysis of genomics data. During this time, he has also has taught several classes, all related to applied statistics. Dr. Irizarry is one of the founders of the conductor Project, an open source and open development software project for the analysis of genomic data. His publications related to these topics have been highly cited and his software implementations widely downloaded.

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By Kurp K on 10/18/2017

Perfect! I loved the course and I'm going to complete the whole Harvard's Data Science program (9 courses ahead). I liked the instructor, the subject is perfectly clarified and the videos are engaging. The course is very concise - no chance to get bored. Perfect solution for everyone who looks for R fundamentals and basic statistics course in one place.

By Misanthreville on 1/3/2019

Currently enrolled in the Harvard program. As someone who has taken a ton of data science courses online, the Harvard courses are by far the poorest in terms of how they're designed. The professor skips a TON of material and explains some topics very badly.

By Luiz C on 8/5/2019

All in all, good. But some important issues prevented the Course from being top notch:- some obvious messiness in the Course: assignments on some topics whereas they were not mentioned in the Course content (PCA, Clustering)- some bugs in the assignments- some important algos not included in the Course content: SVM, Boosting