AI & data science archive
Resources from my years teaching AI and data science on YouTube.
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Fundamentals of Deep Learning in 25 pages
A small e-book with the meticulously curated fundamentals of deep learning: only what you need to know, shown in diagrams and visualizations. What deep learning is and how it relates to other disciplines, the building blocks of neural networks, activation functions and much more.
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Pandas Cheat Sheet
Pandas is the backbone of doing data science with Python. This PDF includes the functions that make my life easier when I want to change values of a dataframe, filter it with a condition, deal with duplicates or missing values, and more.
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Hyperparameters Cheat Sheet
Neural networks have many settings that can be tweaked to reach the best accuracy. This cheat sheet summarises where each setting belongs in the learning process of a neural network.
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Hands-on Data Science: Complete your first project
My course from 2020 that walks aspiring data scientists through an end-to-end data science project. Free to watch on YouTube, with all resources in the video descriptions.
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Deep Learning 101
Start from the ground and build a solid foundation for advanced deep learning. A good fit if you know basic machine learning and want to learn about neural networks.
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Data Science Kick-Starter mini-course
A guide for aspiring data scientists during their first steps, in three modules: determining your goal, determining your path, and understanding the learning requirements.