What is machine learning lifecycle? | What is Model Development Life Cycle (MDLC)? MDLC vs SDLC

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[@bobbybahadur]

Very informative. Crisp explanation 👏

[@GusVid]

Great explanation! very clear, nice examples thanks!

[@PriyankaKumari-cm3kq]

Hey Love your videos Learnt a lot from them. Whenever I find myself stuck in confusion with some topics,your videos come to rescue. Can you also make a video on Qliksense?

[@notknown9307]

1:43 is this zoom window in your monitor?

[@ahmedtawfiq3625]

Great as usual !

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[@phaZZi6461]

nice overview

[@nigamaveena4211]

Sir ,please make videos on docker.

[@ahmedtawfiq3625]

Can you please suggest some instructions on how to download jupyter and voila?

[@chitreshmarkanda469]

Hi there! Informative video, thanks. I have a question - is it possible to retrain an ML Model from an existing trained model, say Model is trained on 10k data set (say it took 2 hrs for training) and every week around 1k is randomly collected from the field (on which the ML is working and say has an accuracy of 85%), want this 1k to improve the model rather than retraining it from scratch - say 1k of 10K is replaced and complete retraining. Is there a way here?

[@jay-vu5ym]

Yes, it's indeed possible to retrain an ML model using additional data without starting from scratch, a process often referred to as "incremental learning" or "online learning," depending on the specific approach and context. This method can save significant computational resources and time, especially when new data becomes available periodically, as in your scenario.

[@Name260812]

Hey, any chance you can explain, what exactly is a model? Is model just a function.

[@nandinimatamacedatascince1407]

model is nothing but data + algorithm= trained pattern called as model.

[@raj55ism]

It's purely technical.

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More usefull for AI product managers

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Yes, But if your fulfill required skills

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Yes, but it requires some skills You will learn

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