Notes in reference/moocs
-
-
Mathematics for Machine Learning
Notes from Coursera's Mathematics for Machine Learning: Linear Algebra by Imperial College London
-
Deep Learning for Coders (2020)
Notes from the Deep Learning for Coders (2020) video series by Jeremy Howard and Sylvain Gugger (fast.ai)
-
Fast.ai: Deep Learning 2018
Course notes from fastai's Deep Learning 2018
-
Convolutional Neural Network (Coursera)
Notes from Coursera's Convolutional Neural Networks by Andrew Ng, Younes Bensouda Mourri and Kian Katanforoosh
Contents
-
Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization (Coursera)
Notes from Coursera's Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization by Andrew Ng, Younes Bensouda Mourri and Kian Katanforoosh
Contents
-
Structuring Machine Learning Projects (Coursera)
Notes from Coursera's Structuring Machine Learning Projects by Andrew Ng, Younes Bensouda Mourri and Kian Katanforoosh
Contents
-
Introduction to Recommender Systems: Non-Personalized and Content-Based
Notes from Coursera's Introduction to Recommender Systems: Non-Personalized and Content-Based by Joseph A Konstan and Michael D. Ekstrand.
Contents
-
Data Structures and Performance
Course notes from Data Structures and Performance on Coursera
-
-
ML Regression
Notes from Machine Learning: Regression by University of Washington on Coursera.
-
Machine Learning Foundations: A Case Study Approach
Notes from Coursera's Machine Learning Foundations: A Case Study Approach by Emily Fox and Carlos Guestrin
-
Computational Investing Part I (Coursera)
Coursera Verified Certificates, License GKNAYZY4TH, October 2013
Full course write up available here
Notes
-
Statistics (Udacity - st095)
Notes from Statistics (st095) by Udacity
