• Courses
  • ECE
  • ECE 186

    • Probabilistic Machine Learning . ECE 186

    An introductory course to topics in machine learning studied from a probability theory viewpoint. Covers an overview of basic probability, inference and estimation, regression algorithms, Markov chains, inference for Markov models and the EM algorithm, Markov decision process, and reinforcement learning. In addition to covering mathematical and algorithmic details, the course includes several hands-on projects to implement the machine learning algorithms.

    + Add to schedule
    Prerequisites: ECE 139 or PSTAT 120A or equivalent.

    4

    Units

    Letter

    Grading

    1, 2, 3

    Passtime

    None

    Level Limit

    Engineering

    College
    Instructors
    PEDARSANI R
    No info found

    Lecture

    GIRV 2112
    M W
    15:30 PM - 16:45 PM
    29 / 30 Closed

    Sections

    ILP 3105
    F
    10:00 AM - 10:50 AM
    29 / 30
    Enrollment Trends
    You Might Also Like
    ECE 181
    47 / 50 Enrolled
    Introduction to Computer Vision
    Yuan-Fang Wang 1.9
    T R
    12:30 PM - 13:45 PM
    42.3% A
    ECE 188B
    76 / 85 Enrolled
    Senior Electrical Engineering Project
    Ilan Ben-Yaacov 3.9
    M W
    12:30 PM - 13:45 PM
    91.3% A
    ECE 189B
    41 / 60 Enrolled
    Senior Computer Systems Project
    Yogananda Isukapalli 4.9
    M W
    09:30 AM - 10:45 AM
    84.4% A
    ECE 192
    0 / 10 Enrolled
    Projects in Electrical and Computer Engineering
    T B A
    100.0% A
    ECE 193
    0 / 10 Enrolled
    Internship in Industry
    T B A
    87.5% A
    ECE 194BB
    18 / 25 Enrolled
    Computer Engineering
    Cheng-Zhong Qin 2.5
    M W
    11:00 AM - 12:15 PM
    88.3% A