This repo is for my study on DL/ML. I'd like to record the long walking on this road.
This field is a little bit too big for me right now. I would like to cut this issue into three terms:
- Short Term: Python programming skill, Virturalization
- Middle Term: ML/DL models , classic algorithm implementation
- Long Term: Mathematics and Papers
I borrow one picture from Virgilio as:
- The favorite Course on this subjuct: Deeping Learning by Andew on Coursera
- The favorite GitHub : Virgilio
- The favorite CN GitHub:ApacheCN
- Another useful GitHub:从入门到进阶，所用到机器学习资料，包括书、视频、源码
- Mathematics: The Matrix Calculus You Need For Deep Learning
- CNN Papers
- numpy-ml
- 伯克利，李沐 动手学深度学习
- HKUST hunkim PyTorch
- NLP RoadMap
There are several parts in this repo:
For: Asignments of Andrew NG's DL course
For: my learning on python
Tools and other useful stuffs
Paper is difficult. Paper is important. I borrow a roadmap for paper reading from GitHub
Deep-Learning-Papers-Reading-Roadmap
Papers with Code(Sorted by stars)
One algorithm one day
-
ML Classic Algorithms
- K-Means
- KNN
- Decision Tree
- Random Forest
-
DL
- CNN
- RNN
-
Boost
- XGBoost
- lightgbm
- CatBoost
- Battle of the Boosting Algorithms
-
AutoML 一文看懂深度学习新王者「AutoML」
I love maths.
- Summary or Cheatsheet for DL/ML
| DATE | WHAT |
|---|---|
| May 01 2019 | Start Andew NG's deeplearning.ai |
| May 02 2019 | Download Feifei Lee's Stanford CNN course |
| May 03 2019 | Environment on Ubuntu14.04 |
| May 12 2019 | Knowing about Virgilio |
| May 20 2019 | Finish Andew NG's deeplearning.ai |
| May 21 2019 | Environment on MacBook |
| May 25 2019 | Learning on NumPy/Matplotlib |
| May 26 2019 | Learning on Pandas |
| May 27 2019 | Read data-science-cheatsheet.pdf |
| May 28 2019 | Focus on Virtulization |
| May 29 2019 | Try MLDemos |
| May 30 2019 | Python interview questions |
| Jun 01 2019 | Try PyTorch |
| Jun 02 2019 | Try TensorFlow |
| Jun 03 2019 | Hands on Scikit-Learn |
| Jun 04 2019 | Hands on TensorFlow |
| Jun 05 2019 | Browse Virgilio/AppacheCN |
| Jun 06 2019 | Read WaterMelon-Book |
| Jun 07 2019 | Study classic sorting algorithm and do it in Python |
| Jun 08 2019 | Study Data-Structure in Python |
| Jun 10 2019 | Study Kaggle Cases: Titanic |
| Jun 12 2019 | Study Kaggle Cases: Extensive US Youtube |
| Jun 13 2019 | Start a project on algorithm study |
| Jun 13 2019 | Start to finish a tutorial from Kaggle Data Visualization within 1 week |
| Jun ~19 2019 | Play on Kaggle |
| Jun 19 2019 | Practice on data preprocessing |
| Jun 20 2019 | Learn Transfer Learning |
| Jun 28 2019 | Learn XGBoost |
| Jul 04 2019 | Learn Feature Engineering |
| Jul ~15 2019 | Learn PR |
| Jul ~30 2019 | 图解机器学习 |
| Aug ~20 2019 | 百面机器学习：算法工程师带你去.pdf |
| Aug ~31 2019 | 图解深度学习 |
| Aug 23 2019 | Learn to study a real list:2018**民营企业500强榜单 |
| Sep 1-7 2019 | 抄写代码《利用Python进行数据分析》 |
| Sep 8-30 2019 | 抄写代码《Python数据科学手册》 |
| Sep 16 2019 | 抄写代码LATEX 功能分类 关键字列表 按钮编辑 |
| Sep 17 2019 | 学习正则表达式的Python实现 |
| Sep 18 2019 | 开始推导公式、抄写公式 |
| Sep 20 2019 | MxNet |
| Sep 26 2019 | 完成西瓜书课后题目 |