My humble request to Individuals/training institutions: Please, for the love of god, stop teaching clueless beginners about Sagemaker, Azure ML and other auto-ML tools.
Sure they are helpful but that is for later. In beginning, they need to understand the basics deeply first :)
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@lucifer_x007
Yes! Make them implement gradient descent from scratch. Make them understand *what* automatic differentiation is instead of unecessary dev ops
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@serious_mehta
Buzz words sell , the process doesnβt, personally tho I havenβt seen anyone in my knowledge going after azure ml auto ml first , these are things which can help accelerate prototyping , the true fun is in sitting and reading docs /notebooks to figure out what to do for yourselfβΊοΈ
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@serious_mehta
A good way to go about teaching tools is making students realise why they need it and what they need it for. Without either the what or the why, if one is taught about any specific tool, they won't be able to appreciate why the tool exists.
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@serious_mehta
Many times these automl tools don't live up to the hypeπ¬. It's better to learn the basics and create tailor fit solutions.
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@serious_mehta
True, doing stats, core programming, basic library and simple model like logistics and linear regression. Foundation is critically important, jumping to neural networks without foundations is a shortcut to doomβ¦ π
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@serious_mehta
I Want to tag my Collage butttttt i am in second year π₯Ή
Consequences will not be good π₯²
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