Articles in the reference/moocs subcategory
-
-
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)
-
-
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
Notes from Coursera's Data Structures and Performance by Christine Alvarao, Leo Porter and Mia Minnes.
Contents
-
