연세대학교 경영대학 BK21Plus
메인메뉴
콘텐츠 영역
일시: 2016년 7월 12, 18, 21일 (총 3일) 13:00-18:00
장소: 경영관 B208호(컴퓨터랩)
Course Objective:
This class is to introduce text mining and deep learning for people without extensive programming background. The class will cover both the concepts and the practices. For practices, we will use Python and Scala. Python is one of the most popular programming languages in the data science community thanks to its readability and accessibility. We will use Python for text preprocessing step. Then, using a functional language Scala, we will learn Stanford Topic Model Toolkit to conduct topic modeling tasks. Finally, as an introduction to deep learning, we will use TensorFlow to conduct basic image processing tasks.
Course Plans:
|
Time |
# |
Content |
|
Tuesday, July 12th |
||
|
13:00~13:50 |
1 |
Introduction & Icebreaking |
|
14:00~14:50 |
2 |
Python – Data Types / Imperative Programming |
|
15:00~15:50 |
3 |
Text Input Output – CSV, JSON, Pickle |
|
16:00~16:50 |
4 |
Container: Dictionary, Set |
|
17:00~17:50 |
5 |
Lab 1: Analyze text files |
|
Monday, July 18th |
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|
13:00~13:50 |
6 |
Text data collection - Web Scraping with BeautifulSoup |
|
14:00~14:50 |
7 |
Text preprocessing- NLTK, TextBlob, Stemming |
|
15:00~15:50 |
8 |
Topic modeling – Concept |
|
16:00~16:50 |
9 |
Topic modeling – Linux, SSH, Shell, screen |
|
17:00~17:50 |
10 |
Topic modeling – Stanford TMT Lab2: Run LDA with TMT |
|
Thursday, July 21st |
||
|
13:00~13:50 |
11 |
Recap of text mining |
|
14:00~14:50 |
12 |
Deep learning – Concept |
|
15:00~15:50 |
13 |
Showcase: Tumblr image analysis |
|
16:00~16:50 |
14 |
Deep learning – Lab with TensorFlow |
|
17:00~17:50 |
15 |
Deep learning – Lab MNIST |
