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Questions tagged [mlops]

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How to automatically trigger model retraining for object detection models in case of data drift?

I have fine-tuned a pre-trained Yolov8 model on my dataset of labelled containers in a warehouse conveyor belt (image example here) . I am working to develop an MLOps project for my project portfolio, ...
agpsuai's user avatar
  • 11
0 votes
0 answers

model versioning and validation of online models

While training an online model, usually we use progressive validation My question is what we should do when we detected performance ...
koch's user avatar
  • 101
3 votes
2 answers

Why business experts should prefer state-of-the-art deep neural networks over simpler models? [closed]

I have encountered this pattern for a long time (5+ years). So many professionals come with an interesting domain-specific problem, and they demand using state-of-the-art deep learning models: take it ...
Eduard's user avatar
  • 211
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2 answers

How to filter out class for which the model has not been trained in ml web app?

I have developed an python based ml web app. It gives details of the book from a image of book cover. Problem: When I upload the book cover image then it works but when i click image of any random ...
Durgendra's user avatar
-1 votes
1 answer

When is it better to utilize machine learning over heuristics?

I learned that 87% of machine learning projects fail due to these five pitfalls: the scope of the project is too big; the project’s scope increased in size as the project progressed—e.g., scope creep;...
Lerner Zhang's user avatar
0 votes
1 answer

How can batch prediction make drift monitoring easier than online prediction?

In this video, I learned that drift monitoring would be easier in batch prediction than that in online prediction: But I don't know why and I cannot find any information about it googling. In my ...
Lerner Zhang's user avatar
2 votes
2 answers

How will MLOps and lifelong learning be complementary?

According to [1], in MLOps, continuous training is a new property, unique to ML systems, that's concerned with automatically retraining and serving the models. While lifelong/incremental learning ...
Lerner Zhang's user avatar