Leave Footprints.
Apple

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

Data Science & ML, the Core.

Since the goal is a competent data scientist,
the main content is related to studying data science and Machine Learning.
Self-directed study based on multiples of sources
including opencourse, books, papers, and online competition such as Kaggle.
Until the day when becoming a competent data scientist and after then, studying will be continued.

Computer Science, Hard to Exclude.

Computer Science is also important because coding is used for data science and AI.
Thanks to various opencourse and books, self-directed study has low barrier to entry.

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 showed the field of data science to me.
As keep tracking of the latest IT trends is important, I 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.
Although 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
and Authors of various books


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

Thank you again.