Data Science: Machine Learning

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, you will learn popular machine learning algorithms, principal component analysis, and regularization by building a movie recommendation system.


Course Objectives:

  • The basics of machine learning
  • How to perform cross-validation to avoid overtraining
  • Several popular machine learning algorithms
  • How to build a recommendation system
  • What is regularization and why it is useful?


Recommended Background

  • Recommended for individuals heading towards a career in data science / currently in a business data analyst/scientist role.
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Course ID

ED074

Skill Focus

Smart Technology

Instructor(s)

Harvard University

Employee Type

New Applicants, Leadership, Change leaders

Method of Delivery

Digital

Estimated Effort

32 hrs

Cost

Audit Free


Certification is paid for $ 49.00 ; Full financial aid available for certification