机器学习和深度学习工程师必备-速查表
机器学习很复杂。对于新手来说，如果他们没有合适的学习资源，则开始学习机器学习会很痛苦。大多数机器学习库很难理解，学习曲线可能会令人沮丧。
最近在Github发现一个仓库，名字为cheatsheets-ai ，https://github.com/kailashahirwar/cheatsheets-ai，其中包含来自不同来源的不同机器
学习框架的备忘单。
备忘单列表：
- Keras
- Numpy
- Pandas
- Scipy
- Matplotlib
- Scikit-Learn
- Neural Networks Zoo
- ggplot2
- PySpark
- R Studio
- Jupyter Notebook
- Dask
1. Keras
来源— https://www.datacamp.com/community/blog/keras-cheat-sheet#gs.DRKeNMs
2. Numpy
来源 — https://www.datacamp.com/community/blog/python-numpy-cheat-sheet#gs.AK5ZBgE
3. Pandas
来源-https://www.datacamp.com/community/blog/pandas-cheat-sheet-python#gs.HPFoRIc
4. Scipy
来源 — https://www.datacamp.com/community/blog/python-scipy-cheat-sheet#gs.JDSg3OI
5. Matplotlib
来源 — https://www.datacamp.com/community/blog/python-matplotlib-cheat-sheet#gs.uEKySpY
6. Scikit-learn
来源 — https://www.datacamp.com/community/blog/scikit-learn-cheat-sheet
7. Neural Networks Zoo
来源— http://www.asimovinstitute.org/neural-network-zoo/
8. ggplot2
来源— https://www.rstudio.com/wp-content/uploads/2015/03/ggplot2-cheatsheet.pdf
9. PySpark
来源 — https://www.datacamp.com/community/blog/pyspark-sql-cheat-sheet
10. R Studio (dplyr and tidyr)
来源 — https://www.rstudio.com/wp-content/uploads/2015/02/data-wrangling-cheatsheet.pdf
11. Jupyter Notebook
来源 — https://www.datacamp.com/community/blog/jupyter-notebook-cheat-sheet
12. Dask
来源— http://docs.dask.org/en/latest/_downloads/daskcheatsheet.pdf
大家可以收藏一波~
