1. Data Mining - with Tensorflow, datamining and deep learning -
Howon Kim

2. About this course… Course name : 데이터마이닝(Data Mining)
In this course, we will study about basic algorithms for data mining (i.e., Machine Learning and Deep Learning) and its implementations with Tensorflow for more clear understanding.
More specifically, we will study about Machine Learning Algorithms such as Linear Regression, SVM, K-Means, etc. and Deep Learning Algorithms such as DNN, CNN, RNN, etc.

3. About this course… Main Textbook Time & Classroom Reference:
7/28/2018
About this course…
Main Textbook
Introduction to Data Mining by Tan, Steinbach and Kumar
Materials for Tensorflow
Time & Classroom
13:30 PM~ 14:45 PM (Monday/Wednesday), A06-202
Reference:
Materials which are available online

4. Course Schedule Basics on Tensorflow 1,2
7/28/2018
Basics on Tensorflow 1,2
CH1: Introduction to data mining
CH2: Data Types
CH3: Exploring Data
CH4/5: Classification
CH6/7: Association
CH8/9: Clustering
Deep Learning Algorithms (CNN, RNN, LSTM, etc.)
At this Wednesday, you will learn basics on Tensorflow

5. About this course… Grading Policy 점 수 항 목 5 Attendance /Attitude 40
7/28/2018
Grading Policy
점 수
항 목 5
Attendance /Attitude 40
Mid-Term Exam.
Final Exam. 15
Homework
100
Total