International Graduate Summer School in Mathematics
22 July-09 August 2019
Institute of Mathematics, VAST, Ha Noi, Viet Nam
Repository for the Introduction to Machine Learning and Deep Learning course as part of the International Graduate Summer School in Mathematics from 5-9 August 2019.
Further resources
Jupyter notebook
Numpy
- http://www.labri.fr/perso/nrougier/from-python-to-numpy/
- https://www.machinelearningplus.com/numpy-tutorial-part1-array-python-examples/
- http://cs231n.github.io/python-numpy-tutorial/
Matplotlib
- https://matplotlib.org/3.1.1/tutorials/introductory/pyplot.html
- https://towardsdatascience.com/matplotlib-tutorial-learn-basics-of-pythons-powerful-plotting-library-b5d1b8f67596
- https://jakevdp.github.io/PythonDataScienceHandbook/04.00-introduction-to-matplotlib.html
Pandas
- https://github.com/pandas-dev/pandas
- https://github.com/justmarkham/pandas-videos
- https://towardsdatascience.com/exploratory-data-analysis-with-pandas-and-jupyter-notebooks-36008090d813
sklearn
- https://scikit-learn.org/stable/tutorial/basic/tutorial.html
- https://www.dataquest.io/blog/sci-kit-learn-tutorial/
- https://www.datacamp.com/community/tutorials/machine-learning-python