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CSE 144 - 01   Applied Machine Learning

2021 Summer Quarter

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Class Details

Career
Undergraduate
Grading
Student Option
Class Number
70189
Type
Lecture
Credits
5 units
General Education
 
Status
Open
Available Seats
6
Enrollment Capacity
40
Enrolled
34
Wait List Capacity
0
Wait List Total
0

Description

Provides a practical and project-oriented introduction to machine learning, with an emphasis on neural networks and deep learning. Starts with a discussion of the foundational pieces of statistical inference, then introduces the basic elements of machine learning: loss functions and gradient descent. Using these, presents logistic regression, or one-layer networks, and then moves on to more complex models: deep neural networks, convolutional networks for image recognition, and recurrent networks and LSTM for temporal and sequence data. Also covers the basics of dataset preparation and visualization and the performance characterization of the models created. Includes weekly homework and a final project that can be done in groups. (Formerly CMPS 144.)

Enrollment Requirements

Prerequisite(s): CSE 101. Enrollment is restricted to juniors and seniors.

Class Notes

Prerequisites will not be waived for CSE courses. There will be no exceptions. If you have completed the prerequisites but cannot enroll contact BSOE Advising - advising@soe.ucsc.edu. Do not contact instructors, they do not have permission codes. This course is intended for UCSC students. It is not appropriate for visiting and high school students.

Meeting Information

Days & Times Room Instructor Meeting Dates
Remote Instruction Norouzi,N.
Zare,S.
Briden,M.J.
06/21/21 - 07/23/21
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