Questions tagged [mlops]

6 questions
3
votes
2 answers

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

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 or leave it. I understand that technology…
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 mainly studies how to incrementally learn rather…
Lerner Zhang
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1
vote
1 answer

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, and chose Object Detection since that was…
agpsuai
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0
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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 object, it still gives the result related to some…
Durgendra
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0
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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 opinion, in online prediction we only need to keep…
Lerner Zhang
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-1
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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; the model couldn’t be explained, hence there…
Lerner Zhang
  • 1,065
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