What is machine learning lifecycle? | What is Model Development Life Cycle (MDLC)? MDLC vs SDLC
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- čas přidán 26. 07. 2024
- What is machine learning lifecycle: SDLC stands for Software Development Life Cycle. Similarly, there is a life cycle to the machine learning model development process, also known as Model Development Life Cycle or MDLC. In this video we will discuss stages in MDLC and compare it with SDLC.
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Great explanation! very clear, nice examples thanks!
Very informative. Crisp explanation 👏
nice overview
Hey
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Can you also make a video on Qliksense?
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More usefull for AI product managers
Hey, any chance you can explain, what exactly is a model? Is model just a function.
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?
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.
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You will learn