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.
Learn how to use the Logistic Regression model to classify unseen data.
Learn how to implement one of the core Machine Learning algorithms and its big brother from scratch.
Learn how to implement your own spam filter with the help of Bayes Theorem.
Learn how k-NN leverages your existing data to help classify new, unseen data.
Understand and implement one of the most fundamental optimization techniques used in Machine Learning.
Learn why Swift has the potential to replace Python as the core driver for modern Machine Learning applications.
Easily abstract and reuse existing code.
Learn how modern NLP based on word embeddings work.
Understanding the underpinnings of modern Game AIs.
A curriculum to self-study Machine- and Deep learning with zero prior knowledge.
A curriculum to self-study advanced mathematics with minimal prior knowledge.