How to learn Machine Learning

https://twitter.com/machsci/status/1625569733126033408?s=21&t=Urcac12Ha89dnjd31vAAIg

https://vickiboykis.com/2022/11/10/how-i-learn-machine-learning/

https://pytorch.org/tutorials/beginner/deep_learning_60min_blitz.html

https://twitter.com/jhoang314/status/1624829824782028806?s=21&t=Urcac12Ha89dnjd31vAAIg

https://www.ninoristeski.com/how-to-find-the-best-resources-on-machine-learning/

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Start with tabular data and linear/logistic regression. Then grab lightgbm with automl, learn the common explainability methods and focus on anything BUT selecting an algorithm. When you got that, learn all other algorithms in and out and look for model innovations.

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Just learn BigQuery and it's machine learning capabilities and read books alot and avoid youtube videos as much as possible.

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Start with SQL, Python. Pick a popular ML library e.g. Sklearn, Keras, XGBoost and apply it to a dataset

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Start by getting familiar with the fundamentals of machine learning, such as linear algebra, calculus and probability theory. Also read up on popular algorithms to get a better understanding of how they work.

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Learn statistics and probability a lot of concepts require simple concepts from those fields, if you want to go a little further learn abstract geometry is going to allow you to learn about how nonlinear models implement hyperplanes.