To perform basic computations in the Machine Learning certificate program, you need the ability to solve elementary linear algebra problems in two dimensions. In this course, you will execute mathematical computations on vectors and measure the distance from a vector to a line. This course will provide you with the theory and activities to start building the linear algebra foundation needed to be successful in your Machine Learning courses.

This optional self-paced course supports the required linear algebra in the Machine Learning certificate. If you are already comfortable with the computations from the pretest, we recommend that you take the final assessment to confirm your readiness.

 

How It Works

Effort
6 to 9 hours of study per week
Format
100% online, instructor-led
  • Programmers
  • Developers
  • Data analysts
  • Statisticians
  • Data scientists
  • Software engineers
Get It Done 100% Online
Our programs are expressly designed to fit the lives of busy professionals like you.
Learn From cornell's Top Minds
Courses are personally developed by faculty experts to help you gain today's most in-demand skills.
Power Your career
Cornell's internationally recognized standard of excellence can set you apart.

Request Information Now by completing the form below.

Act today—courses are filling fast.

By providing your contact information, you consent to receive communications from Cornell University, including with the use of automated technology.  You can opt out at any time.  By selecting the text box, you consent to Cornell texting you.  You confirm this phone number belongs to you.  Message and data rates may apply.  You can reply STOP to opt out of texts at any time. Full Terms | Privacy Policy