Special Direction on Machine Learning (SDML)

 

Instructor: Prof. Shou-de Lin (sdlin@csie.ntu.edu.tw)

Classroom: CSIE 101

Meeting Time: Thur 2:20-5:20 pm

Office Hour:  After class or by appointment

TA : 楊鈞百,程子玲,沈亮欣


Course Description:

 

This course will study some special tasks in machine learning. We will focus on learning embedding models, factorization models, time-series prediction, sequence-to-sequence generation and explanation, clustering, machine reasoning, etc.

 

Grading:

        

Three Homework assignments (70%)

Final Project (30%)

 

 Syllabus :

913

Intro

 

920

Graph Embedding

HW1 out

927

Document Embedding

 

104

Knowledge Embedding

 

1011

HW1 presentation + Basic Recommendation

HW1 due

1018

feature-based recommendation + HW1.2 presentation

HW2 out

1025

Content-based & one-class recommendation

 

111

Basic time-series prediction + RNN/LSTM/GRU Attention

 

118

Advanced time-series prediction+ Sequence-to-Sequence

1115

HW2 presentation

HW2 due, HW3 out

1122

break

 

1129

Explanation of Deep Learning Model

 

126

Final project proposal presentation

 

1213

HW3 presentation

HW3 due

1220

Selective topics (e.g. clustering)

 

1227

Selective topics (e.g. deep reasoning model)

 

13

final presentation 1

 

110

final presentation 2