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

• https://www.dataquest.io/blog/jupyter-notebook-tutorial/

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

Datacamp cheat sheets

• https://www.datacamp.com/community/data-science-cheatsheets?page=3