Syllabus

Date Content Self-study HW
2018-09-14 Introduction and Projects Datasets Python --
2018-09-21 Data Mining & Machine Learning Basics Python HW1
2018-09-28 Statistical Analysis (by TSMC) Python --
2018-10-05 Statistic Analysis & The Application on SAS (by SAS) Spark HW2
2018-10-12 Hadoop & HDFS (by TSMC) Spark HW3
2018-10-19 Map/Reduce & Spark Programming (by TSMC) Spark HW4
2018-10-26 Data Mining & Machine Learning Basics Keras / Tensorflow --
2018-11-02 Introduction to Keras (by Prof. Chih-Chieh Hung) Keras / Tensorflow HW5
2018-11-09 Microsoft AI Platform and Application Keras / Tensorflow --
2018-11-16 TSMC Projects & Final Project Proposal MongoDB --
2018-11-23 Neural Network Concept and Design MongoDB HW6
2018-11-30 CNN and RNN Other useful tools and techniques HW7
2018-12-07 Auto-encoder and GAN Other useful tools and techniques HW8
2018-12-14 Project Midterm -- --
2018-12-21 Final Project Discussion -- --
2018-12-28 Final Project Discussion -- --
2019-01-04 Final Project Discussion -- --
2019-01-11 Final Project Presentation -- --