Machine Learning

CS229

Stanford School of Engineering


Description

"Artificial Intelligence is the new electricity."

- Andrew Ng, Stanford Adjunct Professor 

This course fills up quickly, if you do not get a spot, the wait list will open. In the case that a spot becomes available, Student Services will contact you. Make sure you have submitted your NDO application and required documents to be considered.

Computers are becoming smarter, as artificial intelligence and machine learning, a subset of AI, make tremendous strides in simulating human thinking. Creating computer systems that automatically improve with experience has many applications including robotic control, data mining, autonomous navigation, and bioinformatics.

This course provides a broad introduction to machine learning and statistical pattern recognition. Learn about both supervised and unsupervised learning as well as learning theory, reinforcement learning and control. Explore recent applications of machine learning and design and develop algorithms for machines.

Prerequisites

Linear algebra, basic probability and statistics.

We strongly recommend that you review the first problem set before enrolling. If this material looks unfamiliar or too challenging, you may find this course too difficult.

Topics include

  • Basics concepts of machine learning
  • Generative learning algorithms
  • Evaluating and debugging learning algorithms
  • Bias/variance tradeoff and VC dimension
  • Value and policy iteration
  • Q-learning and value function approximation

Course Availability

The course schedule is displayed for planning purposes – courses can be modified, changed, or cancelled. Course availability will be considered finalized on the first day of open enrollment. For quarterly enrollment dates, please refer to our graduate education section.

Pre-register Now

Dates:March 29 - June 4, 2021
Units: 3.00-4.00
Instructors:
Delivery Option:
Online
Fees:
For Credit $4,056.00-$5,408.00
Notes: Pre-registration Dates: February 1, 2021 at 9:00am to March 12, 2021 at 5:00pm

Computer Science Department Requirement
Students taking graduate courses in Computer Science must enroll for the maximum number of units and maintain a B or better in each course in order to continue taking courses under the Non Degree Option.

Pre-registration for this course will secure your enrollment request and ensure timely processing of your application for potential course approval. Please note: course enrollment will be confirmed after March 19, 2021; after completing your pre-registration, no further action is required on your part.

 

This course may not currently be available to learners in some states and territories.