Tripods/StemForAll2022 Study Materials


Books:

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: https://www.youtube.com/watch?v=r-uOLxNrNk8

Facebook prophet example: https://www.youtube.com/watch?v=KvLG1uTC-KU

Facebook neural prophet example: https://www.youtube.com/watch?v=mgX0Iz4q0bE

Tensorflow time series forecasting example: https://www.youtube.com/watch?v=6f67zrH-_IE

Polynomial regression using sklearn: https://www.youtube.com/watch?v=SSmpyoIdJTc