Tripods/StemForAll2022 Study Materials


Understanding Machine Learning: From Theorem to Algorithms, by Shai Ben-David and Shai Shalev Schwartz

Mathematics for Machine Learning, by Deisenroth, Faisal and Ong

Lecture Notes:

Links to lecture notes on probability, linear algebra and other topics will be placed here shortly.

Python Study Materials:

Links to python/neural networks/pandas data frames study materials will be placed here shortly.

Python for data analysis:

Facebook prophet example:

Facebook neural prophet example:

Tensorflow time series forecasting example:

Polynomial regression using sklearn: