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Questions tagged [amazon-machine-learning]

Amazon Machine Learning adds predictive abilities to application such as fraud detection, demand forecasting, targeted marketing, and click prediction. Algorithms create machine learning (ML) models by finding patterns in existing data. The service uses these models to process new data and generate predictions for applications.

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AWS MLOps - Issue with SageMaker pipeline to deploy new version of model to existing endpoint

I have a problem using SageMaker pipeline for MLOps, I have followed this example, they seems to have only example of one time deployment, my project requires to retrain model weekly, and it will be error if retrain and deploy the model again, I…
Vengleab SO
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Who provides Custom Object Detection

Are Microsoft the only company who provided custom object detection? They have limit on 100 projects looking for a more scaleable provider.
Thomas Segato
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Understanding Sagemaker Neo

I have few questions for Sagemaker Neo: 1) Can I take advantage of Sagemaker Neo if I have an externally trained tensorflow/mxnet model? 2) Sagemaker provides container image for 'image-classification' and it has released a new image with name…
Bharat Patidar
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Issues in upgrading ML libraries using AWS Sagemaker Notebook's Lifecycle configurations

I use the following script to automate upgrading of my libraries. My script (Start Notebook): #!/bin/bash set -e echo 'Before:' echo $PATH export…
aspdeepak
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AWS S3 storage and schema

I have an IOT sensor which sends the following message to IoT MQTT Core topic: {"ID1":10001,"ID2":1001,"ID3":101,"ValueMax":123} I have added ACT/RULE which stores the incoming message in an S3 Bucket with the timestamp as a key(each message is…
aurelius
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Unable to delete a Data Source in AWS ML

I've created a Data source in AWS ML. And I was trying to delete the same using the below program. var params = { DataSourceId: 'HelloS3DataSourceNew' /* required */ }; machinelearning.deleteDataSource(params, function (err, data) { if (err)…
user3872094
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Amazon AWS Machine Learning - Forecast Sales product wise

I am newbie in amazon Machine Learning. I could able to generate prediction using Machine learning using "linear regression", however i could not able to find suitable example "For this product, how many units will sell?". My expectation would be …
user8432615
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Classifying URLs into categories - Machine Learning

[I'm approaching this as an outsider to machine learning. It just seems like a classification problem which I should be able to solve with fairly good accuracy with Machine Larning.] Training Dataset: I have millions of URLs, each tagged with a…
user1265125
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Annotated images classification

I've got a bunch of images (~3000) which have been manually classified (approved/rejected) based on some business criteria. I've processed these images with Google Cloud Platform obtaining annotations and SafeSearch results, for example (csv…
Alex
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Returning Text from Amazon Machine Learning

I have a trained model in Amazon ML than can recognize a piece of text in several categories. For example, if give a piece of text to Amazon ML it will return if this piece is a "subject", "content", etc category. I wonder if it's possible to send…
Thomas
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Different Size of Machine Learning Models?

Once the training is done and Model is generated,Model Size can vary according to the dataset and algorithm used. I want to know what is the range (in MBs) the ("generally") Model Size can vary. Amazon ML sets the limit of Model Size to be between 1…
rishabh.bhardwaj
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SageMaker Clarify Bias Detection for multiple facets and labels

In the Fairness and Explainability with SageMaker Clarify example, I am running a bias analysis on the 'Sex' facet ,where the facet value is 0, and the label is 0: bias_config = clarify.BiasConfig(label_values_or_threshold=[0], …
juvchan
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SageMaker Distributed Data Parallel Library (SMDDP) runtime error in BYOC TensorFlow 2.x environment

I am setting up a custom container (BYOC) for distributed training in TensorFlow 2.x using SageMaker Distributed Data Parallel Library (SMDDP), but got the following runtime error importing smdistributed.dataparallel.tensorflow RuntimeError:…
juvchan
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Distributed Unsupervised Learning in SageMaker

I am running local unsupervised learning (predominantly clustering) on a large, single node with GPU. Does SageMaker support distributed unsupervised learning using clustering? If yes, please provide the relevant example (preferably non-TensorFlow).
juvchan
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Does SageMaker built-in LightGBM algorithm support distributed training?

Does Amazon SageMaker built-in LightGBM algorithm support distributed training? I use Databricks for distributed training of LightGBM today. If SageMaker built-in LightGBM supports distributed training, I would consider migrating to SageMaker. It…
juvchan
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