Companies worldwide utilize sophisticated machine learning techniques to analyze data, identify patterns, and accurately predict industry-specific outcomes. This course will give students an overview of the machine learning process and introduce them to advanced techniques commonly used to extract insights from large datasets. Using Python programming language, students will employ several steps to preprocess and visualize structured data; train, test, and tune machine learning models; and evaluate algorithm performance to select a final model for presentation.
Introduction to Machine Learning
Computer Science | Engineering | MathematicsLive Meeting Time*
04:00 PM - 07:00 PM (PDT)
Session One and Two
*The course will meet for two hours daily (Monday–Friday) for a live online class during this window of time. The third hour is used for online office hours. Students will be admitted to and attend just one course section and time. The exact course time and office hour schedule will be set closer to the start of the program.
Asynchronous Homework Time
1-2 HOURS PER DAY
The approximate amount of time participants should plan to spend on assignments and projects outside of live class time.
Prerequisite(s)
Exposure to a computer programming language and working knowledge of statistics.