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
Please inquire about the courses at the address below.
Contact person: Yu Haitao
Email address: yuhaitao@slis.tsukuba.ac.jp
Link to the syllabus provided by the university