Introduction to Machine Learning from Scratch

1. Course Introduction

This introductory machine learning course is the second in a data science course developed jointly by TEAMLAB and Inflearn, titled "Introduction to Machine Learning from Scratch." "Introduction to Machine Learning from Scratch" consists of Parts I and II. This course was developed with support from WADIZ Funding, a joint project between TEAMLAB and Inflearn. We plan to develop courses on the following topics:

• Introduction to Python for Data Science
• Machnine Learning from Scratch with Python Part I - Main course
• Machnine Learning from Scratch with Python Part II

Please also refer to the list below for existing K-MOOC courses.

• K-MOOC: Introduction to Python for Data Science
• Operation Research with Python Programming

2. Course Features

• The basic structure of this course consists of an explanation of the algorithm, implementation using Numpy, and utilization of the package using Scikit-Learn.
• Students are expected to have a high school-level understanding of statistics and linear algebra to implement algorithms commonly used in machine learning.
• Through this course, students will understand basic Python packages for data analysis, including Numpy, Pandas, Matplotlib, and Scikit-Learn.

3. What Machine Learning Can Do

4. References

• Machine Learning (Couera) by Andrew Ng
• Deep Learning for Everyone by Sung Kim
• Deep Learning with C++ by Professor Hong Jeong-mo
• Machine Learning From Scratch [https://github.com/eriklindernoren/ML-From-Scratch]

Code Assignment Analysis Technical Support: Lablup (www.lablup.com)

Textbooks

Reading materials: Data Science from Scratch (Joel Gruss, 2016)
Python Machine Learning (Sebastian Raschka, 2016)
Hands-On Machine Learning with Scikit-Learn and TensorFlow (Aurélien Géron, 2017, PDF)
Data Mining: Concepts and Techniques (Jiawei Han, Micheline Kamber and Jian Pei , 2011, PDF)
Supplementary textbooks: Data Analysis Using Python Libraries (Wes McKinney, 2013)
Machine Learning in Action (Peter Harrington, 2013)
Introduction to Data Science (Rachel Schutt | Cathy O'Neill, 2014)
Machine Learning in Python (Michael Bowles, 2015)
Introduction to Machine Learning Theory (Etsuji Nakai, 2016)

Prerequisites - Subjects you should have taken before or during the course

Introductory Statistics: The Easiest Statistics in the World (Hiroyuki Kojima, 2009)
The World's Easiest Introduction to Bayesian Statistics (Hiroyuki Kojima, 2017)
Probability and Statistics (Professor Lee Sang-hwa, Hanyang University, 2014)
Reading Materials: Data Science from the Scratch - Ch. 5, Ch. 6, Ch. 7 High school science-level linear algebra (review required for basic concepts of matrices and vectors) Essence of linear algebra (3Blue1Brown, 2017)
Linear Algebra (Khan Academy) (Professor Lee Sang-hwa, Hanyang University, 2013)
- Advance Course Reading Materials - Data Science from the Scratch - Ch. 4 High School Science Level Calculus (understanding of concepts required) Essence of Calculus (3Blue1Brown, 2017)
Introduction to Python for Data Science (TEAMLAB, 2017)
Git Pro Git (Scott Chaconne | Ben Straub, 2016)
Git & Github (TEAMLAB, 2016) Git Lecture (Life Coding, 2014)

5. Instructor Introduction

Choi Seong-cheol (Director of TEAMLAB )

• Email: teamlab.gachon@gmail.com

Gam Dong-geun, Kang Nam-gu, Kang Dong-hoon, Kang Min-goo, Kang Seung-hyung, Kang Shin-hyun, Kang Jeong-mo, Kang Cheon-seong, Kyeon Eun-kyung, Ko Sang-gyu, Ko Tae-young, Ko Hyeong-ju, Kwak Byeong-woo, Kwak Jun-gyu, Kwak Hyo-eun, Kwon Ki-woong, Kwon Su-rim, Kwon Jun-ho, Kim Kang-han, Kim Ki-beom, Kim Ki-hyun, Kim Dae-hyun, Kim Dong-soo, Kim Beom-young, Kim Sang-ho, Kim Seok, Kim Seol-hwa, Kim Seong-seon, Kim Young-gon, Kim Young-bok, Kim Wan, Kim Woo-jae, Kim Won-jun, Kim Yu-jun, Kim Jae-hoon, Kim Jong-cheol, Kim Joo-ho, Kim Jun-yeop, Kim Jun-cheol, Kim Jun-tae, Kim Ji-hoon, Kim Jin-young, Kim Tae-il, Kim Tae-hyung, Kim Hyun-soo, Kim Hyun-il, Kim Hyun-pyo, Kim Hyung-soo, Kim Hee-jung, Nam Goong-yeong, No Dong-heun, No Jeong-cheol, No Jin-seon, No Tae-joo, Ryu Jae-guk, Ryu Ji-hwan, Mok Jeong-hwan, Moon Jong-bae, Moon Jin-sol, Moon Jin-won, Park Kyung-hwa, Park Dong-hee, Park Du-gang, Park Min-jun, Park Seon-ho, Park Se-won, Park Soo-yeon, Park Shin-young, Park Jae-ho, Park Je-min, Park Jun-hyeon, Park Jin-tae, Park Chan-jin, Park Cheol-hong, Park Tae-gyun, Park Tae-wook, Park Hye-won, Park Hong-seong, Park Hoon-beom, Park Heung-joo, Bae Yoon-seong, Bae I-hwan, Bae Jin-ui, Baek Gil-ho, Baek Sang-il, Byeong-seop Byun, Seo Ki-yong, Seo Dong-jin, Seo Dong-hwa, Seo Yoon-hee, Seo Jae-won, Seok Min-ho, Seong Jeong-mo, Son Ki-chang, Son Baek-mo, Son Yu-yeon, Son Jeong-hoon, Song Min-gyu, Song Eun-jeong, Song Ji-hoon, Shin Dong-soo, Shin Myeong-seok, Shin Ik-soon, Shin Jae-geun, Shin Jeong-hyeon, Shin Jin-gyu, Shin Heon-seop, Ahn Byeong-hun, Ahn Jung-hee, Yang Je-yeol, Oh Seong-woo, Oh Seung-jae, Ok Jae-woo, Woo Ji-won, Won Seon, Won Ha-ri, Wi Jae-hyeok, Yoo Young-ho, Yoon Byeong-gil, Yoon Seok-chae, Yoon Seok-pil, Yoon Sung-hyun, Yoon Jun-seo, Yoon Jin-hwan, Lee Kyung-rok, Lee Kyung-mi, Lee Kyung-eun, Lee Ki-yong, Lee Dae-gyu, Lee Deok-gi, Lee Don-joong, Lee Min-sun, Lee Sang-yeop, Lee Sung-joo, Lee Sung-han, Lee Sung-hoon, Lee Su-hwan, Lee Seung-gyu, Lee Seung-jun, Lee Shin-ae, Lee Yeon-jun, Lee Young-sook, Lee Young-il, Lee Yong-min, Lee Yu-jeong, Lee Eun-seop, Lee Ja-ho, Lee Jae-jun, Lee Jae-hyun, Lee Jeong-yeon, Lee Jeong-ho, Lee Jong-seok, Lee Joo-woong, Lee Joo-won, Lee Ji-seon, Lee Ji-o, Lee Chang-seop, Lee Hyeong-beom, Im Se-min, Im Won-gyun, Im Jong-tae, Im Ji-hong, Im Chae-hyun, Jang Seok-won, Jang Woo-il, Jang Woo-cheol, Jang Jun-hyeok, Jang Hyun-jeong, Jang Hong-gi, Jeon Gyeong-hwan, Jeon Yong-jin, Jeon Jong-yeol, Jeon Jin-myeong, Jeong Gwang-yoon, Jeong Gwang-ho, Jeong Dae-hwan, Jeong Dong-ryeol, Jeong Dong-min, Jeong Seong-uk, Jeong Su-jeong, Jeong Seung-hyeon, Jeong Yeong-gyo, Jeong Yun-gi, Jeong Chan-mo, Jeong Hyang-won, Jeong Hyeon-cheol, Jo Gwang-je, Jo Min-ha, Jo Su-jeong, Jo Young-man, Jo Yong-jun, Jo Won-seok, Jo Jae-moon, Jo Jung-hyun, Joo Jeong-seok, Jin So-ra, Cha Dong-cheol, Cha Jin-man, Chae Ho-jin, Choi Kyung-min, Choi Woong-sik, Choi In-bo, Choi Jeong-won, Choi Je-ho, Choi Jun-sik, Choi Han-dong, Chu Jeong-ho, Ha Jun-soo, Han Bo-ram, Han Seong-uk, Han Seong-hyeon, Han Hyeong-seop, Hyun Seung-cheol, Hong Mi-na, Hong Sim-hee, Hong Jun-won, Hong Tae-hwan, Hwang Dae-seong, Hwang Ui-yeong, Hwang Ji-yeong, Hyo-ju, eric, Sunghuek Park, Lablup, Shin Jeong-gyu, TeamLab, Choi Soo-kyung, Lee Se-ri