Modeling, Learning, and Decision-Making

Spring 2022
#21840
COMPSCI 189 106 - DIS 106 offered through Electrical Engineering and Computer Sciences

Introduction to Machine Learning

Jan 18, 2022 - May 06, 2022
Tu
01:00 pm - 01:59 pm
Hearst Field Annex B1
Class #:21840
Units:4

Instruction Mode: In-Person Instruction

Open Seats

30 Unreserved Seats

COMPSCI 189 - DIS 106 Introduction to Machine Learning more detail
Theoretical foundations, algorithms, methodologies, and applications for machine learning. Topics may include supervised methods for regression and classication (linear models, trees, neural networks, ensemble methods, instance-based methods); generative and discriminative probabilistic models; Bayesian parametric learning; density estimation and clustering; Bayesian networks; time series models; dimensionality reduction; programming projects covering a variety of real-world applications.
Spring 2022
#21839
COMPSCI 189 104 - DIS 104 offered through Electrical Engineering and Computer Sciences

Introduction to Machine Learning

Jan 18, 2022 - May 06, 2022
We
04:00 pm - 04:59 pm
Hildebrand B56
Class #:21839
Units:4

Instruction Mode: In-Person Instruction

Open Seats

30 Unreserved Seats

COMPSCI 189 - DIS 104 Introduction to Machine Learning more detail
Theoretical foundations, algorithms, methodologies, and applications for machine learning. Topics may include supervised methods for regression and classication (linear models, trees, neural networks, ensemble methods, instance-based methods); generative and discriminative probabilistic models; Bayesian parametric learning; density estimation and clustering; Bayesian networks; time series models; dimensionality reduction; programming projects covering a variety of real-world applications.
Spring 2022
#21838
COMPSCI 189 101 - DIS 101 offered through Electrical Engineering and Computer Sciences

Introduction to Machine Learning

Jan 18, 2022 - May 06, 2022
Tu
10:00 am - 10:59 am
Wheeler 108
Class #:21838
Units:4

Instruction Mode: In-Person Instruction

Open Seats

30 Unreserved Seats

COMPSCI 189 - DIS 101 Introduction to Machine Learning more detail
Theoretical foundations, algorithms, methodologies, and applications for machine learning. Topics may include supervised methods for regression and classication (linear models, trees, neural networks, ensemble methods, instance-based methods); generative and discriminative probabilistic models; Bayesian parametric learning; density estimation and clustering; Bayesian networks; time series models; dimensionality reduction; programming projects covering a variety of real-world applications.
Spring 2022
#21837
COMPSCI 189 001 - LEC 001 offered through Electrical Engineering and Computer Sciences

Introduction to Machine Learning

Jonathan Shewchuk
Jan 18, 2022 - May 06, 2022
Mo, We
06:30 pm - 07:59 pm
Wheeler 150
Class #:21837
Units:4

Instruction Mode: In-Person Instruction

Time Conflict Enrollment Allowed

Open Seats

45 Unreserved Seats

COMPSCI 189 - LEC 001 Introduction to Machine Learning more detail
Theoretical foundations, algorithms, methodologies, and applications for machine learning. Topics may include supervised methods for regression and classication (linear models, trees, neural networks, ensemble methods, instance-based methods); generative and discriminative probabilistic models; Bayesian parametric learning; density estimation and clustering; Bayesian networks; time series models; dimensionality reduction; programming projects covering a variety of real-world applications.
Spring 2022
#30833
COMPSCI 182 106 - DIS 106 offered through Electrical Engineering and Computer Sciences

Designing, Visualizing and Understanding Deep Neural Networks

Jan 18, 2022 - May 06, 2022
We
11:00 am - 11:59 am
Cory 289
Class #:30833
Units:4

Instruction Mode: In-Person Instruction

Open Seats

35 Unreserved Seats

COMPSCI 182 - DIS 106 Designing, Visualizing and Understanding Deep Neural Networks more detail
Deep Networks have revolutionized computer vision, language technology, robotics and control. They have growing impact in many other areas of science and engineering. They do not however, follow a closed or compact set of theoretical principles. In Yann Lecun's words they require "an interplay between intuitive insights, theoretical modeling, practical implementations, empirical studies, and scientific analyses." This course attempts to cover that ground.
Spring 2022
#30832
COMPSCI 182 105 - DIS 105 offered through Electrical Engineering and Computer Sciences

Designing, Visualizing and Understanding Deep Neural Networks

Jan 18, 2022 - May 06, 2022
We
10:00 am - 10:59 am
Wheeler 108
Class #:30832
Units:4

Instruction Mode: In-Person Instruction

Open Seats

35 Unreserved Seats

COMPSCI 182 - DIS 105 Designing, Visualizing and Understanding Deep Neural Networks more detail
Deep Networks have revolutionized computer vision, language technology, robotics and control. They have growing impact in many other areas of science and engineering. They do not however, follow a closed or compact set of theoretical principles. In Yann Lecun's words they require "an interplay between intuitive insights, theoretical modeling, practical implementations, empirical studies, and scientific analyses." This course attempts to cover that ground.
Spring 2022
#30831
COMPSCI 182 104 - DIS 104 offered through Electrical Engineering and Computer Sciences

Designing, Visualizing and Understanding Deep Neural Networks

Jan 18, 2022 - May 06, 2022
Tu
05:00 pm - 05:59 pm
Wheeler 202
Class #:30831
Units:4

Instruction Mode: In-Person Instruction

Open Seats

35 Unreserved Seats

COMPSCI 182 - DIS 104 Designing, Visualizing and Understanding Deep Neural Networks more detail
Deep Networks have revolutionized computer vision, language technology, robotics and control. They have growing impact in many other areas of science and engineering. They do not however, follow a closed or compact set of theoretical principles. In Yann Lecun's words they require "an interplay between intuitive insights, theoretical modeling, practical implementations, empirical studies, and scientific analyses." This course attempts to cover that ground.
Spring 2022
#30830
COMPSCI 182 103 - DIS 103 offered through Electrical Engineering and Computer Sciences

Designing, Visualizing and Understanding Deep Neural Networks

Jan 18, 2022 - May 06, 2022
Tu
03:00 pm - 03:59 pm
Hearst Gym 242
Class #:30830
Units:4

Instruction Mode: In-Person Instruction

Open Seats

35 Unreserved Seats

COMPSCI 182 - DIS 103 Designing, Visualizing and Understanding Deep Neural Networks more detail
Deep Networks have revolutionized computer vision, language technology, robotics and control. They have growing impact in many other areas of science and engineering. They do not however, follow a closed or compact set of theoretical principles. In Yann Lecun's words they require "an interplay between intuitive insights, theoretical modeling, practical implementations, empirical studies, and scientific analyses." This course attempts to cover that ground.
Spring 2022
#30829
COMPSCI 182 102 - DIS 102 offered through Electrical Engineering and Computer Sciences

Designing, Visualizing and Understanding Deep Neural Networks

Jan 18, 2022 - May 06, 2022
Tu
01:00 pm - 01:59 pm
Cory 289
Class #:30829
Units:4

Instruction Mode: In-Person Instruction

Open Seats

35 Unreserved Seats

COMPSCI 182 - DIS 102 Designing, Visualizing and Understanding Deep Neural Networks more detail
Deep Networks have revolutionized computer vision, language technology, robotics and control. They have growing impact in many other areas of science and engineering. They do not however, follow a closed or compact set of theoretical principles. In Yann Lecun's words they require "an interplay between intuitive insights, theoretical modeling, practical implementations, empirical studies, and scientific analyses." This course attempts to cover that ground.
Spring 2022
#30828
COMPSCI 182 101 - DIS 101 offered through Electrical Engineering and Computer Sciences

Designing, Visualizing and Understanding Deep Neural Networks

Jan 18, 2022 - May 06, 2022
Tu
09:00 am - 09:59 am
Wheeler 120
Class #:30828
Units:4

Instruction Mode: In-Person Instruction

Open Seats

35 Unreserved Seats

COMPSCI 182 - DIS 101 Designing, Visualizing and Understanding Deep Neural Networks more detail
Deep Networks have revolutionized computer vision, language technology, robotics and control. They have growing impact in many other areas of science and engineering. They do not however, follow a closed or compact set of theoretical principles. In Yann Lecun's words they require "an interplay between intuitive insights, theoretical modeling, practical implementations, empirical studies, and scientific analyses." This course attempts to cover that ground.
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