You can find the source on the GitHub project.
The notes are collecting using my interpretation of the Zettelkasten method.
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Convolutional Neural Network (Coursera)
Notes from Coursera's Convolutional Neural Networks by Andrew Ng, Younes Bensouda Mourri and Kian Katanforoosh
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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
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Structuring Machine Learning Projects (Coursera)
Notes from Coursera's Structuring Machine Learning Projects by Andrew Ng, Younes Bensouda Mourri and Kian Katanforoosh
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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.
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Data Structures and Performance
Notes from Coursera's Data Structures and Performance by Christine Alvarao, Leo Porter and Mia Minnes.
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Recursive queries in PostgreSQL
For some data relationships in Postgres (or any other relational database that speaks SQL), recursive queries are near inevitable. Let's say you have some top-level …