Hi Guys,

Im a data engineer with almost 8 years of exp. Im trying to venture into the ML/AI landscape due to both career and personal interest. Could someone give some pointers on where i should start what you would and wont do if you had to restart your ML/AI learning journey

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Most important thing - python and oops programming
Then learn basic statistics- probability, probability distribution functions, central limit theorem, hypothesis testing and different type of tests
Then get yourself familiarized with end to end ml pipeline ( classic ml)
Data processing, data cleaning, feature engineering, feature scaling/ normalization, model training (scikit learn), model validation, model evaluation

After that dive deeper into ml algorithms, regularization.

In the beginning do not go towards deep learning. Once you understand classical ml model well then only look into DL.
GenAI is big no at the beginning.

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It will take Atleast 2 years

Wrong decision

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Do not enter it

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Avoid

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Avoid already to many people

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