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Course Detail

Degree
Bachelor
Standard Academic Year
3, 4
Course delivery methods
face-to-face
Subject
Computer Science, Mass communications & documentation
Program
School
School of Informatics
Department
College of Knowledge and Library Sciences
Campus
Tsukuba Campus
Classroom
7A103
Course Offering Year
2023-2024
Course Offering Month
October - December
Weekday and Period
Tue1,2
Capacity
Credits
2.0
Language
English
Course Number
GE72701

Machine Learning and Information Retrieval University of Tsukuba

Course Overview

Machine learning is playing a fundamental role in our daily life from the way we check emails right down to the way we search online. This course will introduce a number of representative machine learning methods, and show how to utilize them to solve the ranking problem in the field of information retrieval.

Learning Achievement

(1) Be able to perform classification and regression using both linear and non-linear models;
(2) Be able to perform learning to rank based on both linear and non-linear models;

Competence

Course prerequisites

Grading Philosophy

Report(3times)

Course schedule


Guidance (introduction of tools and libraries for real implementation)
Classification-1 (linear model for classification)
Classification-2 (non-linear model for classification)
Classification-3 (classification based on PyTorch)
Regression-1 (linear model for regression)
Regression-2 (non-linear model for regression)
Regression-3 (regression based on PyTorch)
Ranking-1 (learning to rank)
Ranking-2 (learning to rank)
Ranking-3 (learning to rank based on PyTorch)

Course type

Lectures

Online Course Requirement

Instructor

Yu Haitao

Other information

Site for Inquiry


Link to the syllabus provided by the university