Auto-classification ML Software Development 
AWS Machine Learning Blog
APRIL 19, 2023
Since 2018, our team has been developing a variety of ML models to enable betting products for NFL and NCAA football. We recently developed four more new models. These models are then pushed to an Amazon Simple Storage Service (Amazon S3) bucket using DVC, a version control tool for ML models.
ODSC - Open Data Science
APRIL 17, 2023
Finally, H2O AutoML has the ability to support a wide range of machine learning tasks such as regression, time-series forecasting, anomaly detection, and classification. Auto-ViML : Like PyCaret, Auto-ViML is an open-source machine learning library in Python. This makes Auto-ViML an ideal tool for beginners and experts alike.
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AWS Machine Learning Blog
NOVEMBER 14, 2024
We recently announced the general availability of cross-account sharing of Amazon SageMaker Model Registry using AWS Resource Access Manager (AWS RAM) , making it easier to securely share and discover machine learning (ML) models across your AWS accounts.
AWS Machine Learning Blog
JUNE 23, 2023
Amazon SageMaker Data Wrangler is a single visual interface that reduces the time required to prepare data and perform feature engineering from weeks to minutes with the ability to select and clean data, create features, and automate data preparation in machine learning (ML) workflows without writing any code.
AWS Machine Learning Blog
APRIL 8, 2024
For the TensorRT-LLM container, we use auto. option.tensor_parallel_degree=max option.max_rolling_batch_size=32 option.rolling_batch=auto option.model_loading_timeout = 7200 We package the serving.properties configuration file in the tar.gz Similarly, you can use log_prob as measure of confidence score for classification use cases.
AWS Machine Learning Blog
JULY 31, 2023
Although machine learning (ML) can provide valuable insights, ML experts were needed to build customer churn prediction models until the introduction of Amazon SageMaker Canvas. Cost-sensitive classification – In some applications, the cost of misclassification for different classes can be different.
AWS Machine Learning Blog
NOVEMBER 22, 2023
Operational excellence in IDP means applying the principles of robust software development and maintaining a high-quality customer experience to the field of document processing, while consistently meeting or surpassing service level agreements (SLAs). This post focuses on the Operational Excellence pillar of the IDP solution.
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