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.
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Linear- and Multiple Regression from scratch
Learn how to implement one of the core Machine Learning algorithms and its big brother from scratch.
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Naive Bayes from scratch
Learn how to implement your own spam filter with the help of Bayes Theorem.
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K-nearest neighbors from scratch
Learn how k-NN leverages your existing data to help classify new, unseen data.
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Gradient Descent from scratch
Understand and implement one of the most fundamental optimization techniques used in Machine Learning.
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Swift for modern Machine Learning
Learn why Swift has the potential to replace Python as the core driver for modern Machine Learning applications.
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Learning Deep Learning
A curriculum to self-study Machine- and Deep learning with zero prior knowledge.
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Learning Advanced Mathematics
A curriculum to self-study advanced mathematics with minimal prior knowledge.
![Philipp Muens](/assets/blog/authors/philipp.jpg)