Explanations of artificial intelligence concepts, code, and methods

Machine learning or artificial intelligence (whatever you call it) will be the central disrupting technology of the next ten years. The field is also moving at a breakneck pace. What was state of the art in 2018 is a dinosaur today. Every week there is a new exciting paper, software library, or tool.

Over the last decade, I have written ~1000 tutorials on machine learning and data science, authored a book on Python machine learning, created 300 flashcards on machine learning, and other things.

Recently I have been asking myself: if I was going to learn machine learning all over again in 2023+, how would I want to do it?

Short Notes On AI is the answer to that question - a drip marketing campaign for learning machine learning. Every few weeks, you receive an email with a readable, well-researched explanation of some machine learning concept, tool, or method. Over time, that drip, drip, drip of explanations builds up your foundation of machine learning knowledge.

If you are interested, consider signing up.

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Chris Albon
Present: Director of Machine Learning. Past: Three times Director of Data Science