Leave Footprints.
Apple

As humans memory is not perfect,
Importance of Records cannot be overemphasized.
All important records are kept on All-In.

Data Science, the Core.

Since the goal is a competent data scientist, the main content is related to studying data science.
From MIT Open Courseware and Naver Boostcourse to Kaggle.
Until the day when becoming a competent data scientist and after then, studying will be continued.

Machine Learning, Hard to Exclude.
Stanford & Andrew Ng

Machine Learning is now essential to data analysing.
Starting from Andrew Ng's course, I'm studying ML with variety of learning materials.

Math, Foundation of Everything.

Math is an important fondation of Data Science.
Linear Algebra & Statistics are always with me.

IT, which Brings me Here.

I'm still interested in IT, which taught me about the field of data science
As keep tracking of the latest IT trends is important, I'm going to write down some thoughts on IT news.

Thank you for you help.

Studying data and machine learning without any foundation was very difficult.
When I lost my way, I received help from the examples of many people who studied earlier. All-In was also successfully customized by referring to various examples and posts.
I have never asked for help in person and communicated with each other, but I am here to express my gratitude.

Thank you for Learning Materials
Professor Sungzoon Cho from SNU
Professor Andrew Ng
MIT OpenCourseWare
Naver Boostcourse


Thank you for Github Blog
wonseoko
공부하는 식빵맘
김현우
Danggai
Dongkyun Kim
Apple Inc.

Thank you again.