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# First we study a programming language python, which is the most commonly used in data analysis. | # First we study a programming language python, which is the most commonly used in data analysis. | ||
Book : "Jump to python." | Book : "Jump to python." | ||
video lecture : "Python for all, provided by edwith." | video lecture : "Python for all, provided by edwith." | ||
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# If we finish studying python, we will implement machine learning or deep learning using python. | # If we finish studying python, we will implement machine learning or deep learning using python. | ||
Book : "Deep Learning from the Bottom"(will be.) or "machine learning using python library". | Book : "Deep Learning from the Bottom"(will be.) or "machine learning using python library". | ||
# Coursera | # We will take a Coursera course, "Machine Learning, Andrew ng". | ||
That is called ceremony of Machine Learning (ML의 정석). | |||
-> Additional explanation will be written. | |||
# If you do all of the above, we will go into advanced course. | |||
we will study the TensorFlow, which is an library made for deep learning. | |||
Book : "Golvin Hacker's 3-minute Deep Learning TensorFlow Flavor" | |||
&& "Tenserflow first step" | |||
Revision as of 16:51, 1 March 2019
Overall Study Description
Study group to learn Machine Learning(ML) and Deep Learning.
- from the ground up to the deep
- theory and practice in parallel
- assignment and flip learning.
- using book and video lecture.
- flip learning : study at the home and then, share knowledge or exchange question in the meeting.
- book : 0 : will be fixed.
- video lecture : "Introduction to Deep Learning by Code" sponsored by SK Academy
Meeting Date
Weekly Tuesday and Thursday.
2pm ~ 4pm(not fixed)
- it may be changed during the term
Location
Lecture room or project room with projector and white board.
Mainly in Building 308 or Building 208.
- we will be studying at a better facility over time.
How to join
First come to "Zeropage Weekly Meeting(정모)".
Then, find "강제순", or vice-president of ZeroPage and tell him you wanting to join.
Requirement
- with an Interest in ML and Deep Learning.
- with a strong responsibility.
- a person who will not give up easily.
- a person who will do properly // 하나를 하더라도 제대로, 확실하게 할 사람.
Plan
- It is not confirmed. We need to discuss with our team members.
- First we study a programming language python, which is the most commonly used in data analysis.
Book : "Jump to python." video lecture : "Python for all, provided by edwith."
- If we finish studying python, we will implement machine learning or deep learning using python.
Book : "Deep Learning from the Bottom"(will be.) or "machine learning using python library".
- We will take a Coursera course, "Machine Learning, Andrew ng".
That is called ceremony of Machine Learning (ML의 정석).
-> Additional explanation will be written.
- If you do all of the above, we will go into advanced course.
we will study the TensorFlow, which is an library made for deep learning.
Book : "Golvin Hacker's 3-minute Deep Learning TensorFlow Flavor"
&& "Tenserflow first step"
We need to discuss with our team members about assignment and penal system, ppt-uploading about study contents per week.
If above them is executed, we will upload files about them and proceed with the study writing these files.
Useful Information
Member
Kyeong Tae Kim Jesoon Kang Jisu Kim Sohyun Park Junseok Lee Youngseok Joo
Sponsor
Chung-Ang Univ. ZeroPage CLUG
- If you want to sponsor us, please contact us by ZeroPage, academic club of SW Department, Chung-Ang Univ.