Data Science: Machine Learning
Learn the science behind one of the most popular and successful data science techniques.
In this online course taught by Harvard Professor Rafael Irizarry, build a movie recommendation system and learn the science behind one of the most popular and successful data science techniques.
2-4 hours a week
2-4 hours a week
What You'll Learn
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.
The course will be delivered via edX and connect learners around the world. By the end of the course, participants will learn:
- The basics of machine learning
- How to perform cross-validation to avoid over-training
- Several popular machine learning algorithms
- How to build a recommendation system
- What is regularization and why it is useful?
Your Instructors
Ways to take this course
When you enroll in this course, you will have the option of pursuing a Verified Certificate or Auditing the Course.
A Verified Certificate costs $149 and provides unlimited access to full course materials, activities, tests, and forums. At the end of the course, learners who earn a passing grade can receive a certificate.
Alternatively, learners can Audit the course for free and have access to select course material, activities, tests, and forums. Please note that this track does not offer a certificate for learners who earn a passing grade.