Introduction to Machine Learning
49-781 (Since 2016, Next offering in Spring Mini 3 2024)

The field of "data science" has changed the landscape of software products over last couple of decades. Its broad With deeper understaning of data, we're able to deliver interesting and innovative capabilities in software products.

This course is designed for current and future product managers to understand the distinction between data-driven and traditional software products. They learn to identify product features made possible by quantitative data analysis and modeling. Hands-on exercises will expose them to techniques for analyzing data, developing insights, building models, and generating value to end users based on the outcome from these models.

Students will go through the life cycle of a data-product and showcase their insight as a product feature.

Registering for the course

  • MSSM students – You don't need to obtain instructor approval. Register for the course in SIO and you'll be added to the roster.
  • Non-MSSM students – instructor approval is required. Register for the course in SIO and you will be placed in the waitlist. Send a message to the instructor about four weeks before the course begins to confirm your status.

Syllabus & Logistics

Download course details. (From Spring 2024, this course will be offered for 6 units instead of 12 units - the topics will remain the same but workload will be less)

All content is updated regularly and the latest version is always available on course Canvas page.

Preparing for the Course

To prepare you for success in this course, complete the following online courses and tutorials before the course begins. CMU students have unlimited access to courses at LinkedIn Learning.

Trying to do these during the course will take time away from your deliverables and impact your productivity.