June 16, 2024 July 28, 2024
July 30, 2024 July 12, 2024
July 14, 2024 July 26, 2024
University of California at Berkeley
Students in this course will be introduced to the fundamental mathematical concepts that underpin machine learning. They will learn how to use math to design algorithms and select parameters, as well as the use of data analytics to analyze, visualize and interpret data.
Some prior coding experience would be helpful.
Meet your instructor
Instructor - Courses are taught by accomplished and passionate faculty recruited from many area colleges, universities and professional forums. Each faculty member is selected for their subject area expertise and proven ability to both challenge and captivate students.
Topics you'll explore
Hands on Learning
Students will spend time working on activities that explore vector and matrix operations, probability simulations, and work in groups on a linear regression project. They will also work on building a simple neural network to engage in deep learning. Throughout their time in this program, they will learn about career paths in machine learning and artificial intelligence and engage their soft skills in hands-on learning, group projects and interactive activities.
There are nine 3-hour class sessions over the two-week course. During week one, students have class from 9am-12pm, Monday - Friday. During week two, students have class from 9am-12pm Monday through Thursday. Wednesday afternoons are dedicated to additional academic time (excursions, speakers).
Meet with experts in the artificial intelligence industry to learn more about majors and careers. Learn firsthand what it’s like to work in a world where machines can become reality. Excursions may include visits to AI labs and research facilities pioneering undiscovered innovations.