The Intersection
Thoughts on Software Engineering, Science and Startups
Take a deep dive into Decision Trees and program your very own based on the CART algorithm in pure Python.
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Logistic Regression from scratch
Learn how to use the Logistic Regression model to classify unseen data.
Linear- and Multiple Regression from scratch
Learn how to implement one of the core Machine Learning algorithms and its big brother from scratch.
Naive Bayes from scratch
Learn how to implement your own spam filter with the help of Bayes Theorem.
K-nearest neighbors from scratch
Learn how k-NN leverages your existing data to help classify new, unseen data.
Gradient Descent from scratch
Understand and implement one of the most fundamental optimization techniques used in Machine Learning.
Swift for modern Machine Learning
Learn why Swift has the potential to replace Python as the core driver for modern Machine Learning applications.
Learning Deep Learning
A curriculum to self-study Machine- and Deep learning with zero prior knowledge.
Learning Advanced Mathematics
A curriculum to self-study advanced mathematics with minimal prior knowledge.