JOB INFORMATION
Topics: statistical pattern recognition, linear and non-linear regression, non-parametric methods, exponential family, GLMs, support vector machines, kernel methods, deep learning, model/feature selection, learning theory, ML advice, clustering, density estimation, EM, dimensionality reduction, ICA, PCA, reinforcement learning and adaptive control, Markov decision processes, approximate dynamic programming, and policy search. Prerequisites: knowledge of basic computer science principles and skills at a level sufficient to write a reasonably non-trivial computer program in Python/NumPy to the equivalency of CS106A, CS106B, or CS106X, familiarity with probability theory to the equivalency of CS 109, MATH151, or STATS 116, and familiarity with multivariable calculus and linear algebra to the equivalency of MATH51 or CS205.
Details:
CS 229
Class Number: 6923
Course Cost: $4932.00
Population: Undergraduate, Graduate
Units: 4
Interest Area: Computer Science and Engineering
Course Format & Length: In-Person, 8 weeks
Instructors: Anand Avati
Dates: June 24, 2023 - August 20, 2023
Prerequisites: knowledge of basic computer science principles and skills at a level sufficient to write a reasonably non-trivial computer program in Python/NumPy to the equivalency of CS 106A, CS 106B, or CS 106X, familiarity with probability theory to the equivalency of CS 109, MATH 151, or STATS 116, and familiarity with multivariable calculus and linear algebra to the equivalency of MATH 51 or CS 205.
Schedule: MWF 5:30 pm-6:30 pm
Cross Listings: STATS 229
Events and Engagement
Workshops
Hosted through the Summer Academic Resource Center (SARC), we offer a variety of educational workshops to complement your academic pursuits. Presenters varying from Stanford affiliates, community partners, and graduate tutors will cover a wide range of topics from academic skills to career exploration. Past workshops included college preparedness, software exploration, and building your professional network.
Stanford Spaces
Explore the intellectual ecosystem of the Stanford campus. Tour museums like the Cantor Arts Center, visit unique campus spaces like the d.school, Frost Amphitheater, and O’Donohue Family Farm, and get to know the unique community of companies and innovators that gather at Stanford Research Park.
Stanford Voices
These small gatherings give you an opportunity to connect with Stanford faculty, fellows, and alumni to hear about their work or research, as well as the road that brought them there. Ask questions and continue your intellectual exploration—whether you're taking a course on the topic this summer or just curious.
