Auto-classification ML Software Engineer 
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
APRIL 20, 2023
Each machine learning (ML) system has a unique service level agreement (SLA) requirement with respect to latency, throughput, and cost metrics. We train an XGBoost model for a classification task on a credit card fraud dataset. We demonstrate how to set up Inference Recommender jobs for a credit card fraud detection use case.
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AWS Machine Learning Blog
MAY 31, 2023
PyTorch is a machine learning (ML) framework based on the Torch library, used for applications such as computer vision and natural language processing. This provides a major flexibility advantage over the majority of ML frameworks, which require neural networks to be defined as static objects before runtime.
NOVEMBER 21, 2023
Our objective is to demonstrate the combined power of MATLAB and Amazon SageMaker using this fault classification example. Here, you use Auto Features , which quickly extracts a broad set of time and frequency domain features from the dataset and ranks the top candidates for model training. classifierModel = fitctree(.
AWS Machine Learning Blog
MARCH 15, 2024
Many organizations are implementing machine learning (ML) to enhance their business decision-making through automation and the use of large distributed datasets. With increased access to data, ML has the potential to provide unparalleled business insights and opportunities.
AWS Machine Learning Blog
FEBRUARY 12, 2025
Machine learning (ML) engineers must make trade-offs and prioritize the most important factors for their specific use case and business requirements. Enterprise Solutions Architect at AWS, experienced in Software Engineering, Enterprise Architecture, and AI/ML. Nitin Eusebius is a Sr.
ODSC - Open Data Science
MAY 25, 2023
Here’s what you need to know: sktime is a Python package for time series tasks like forecasting, classification, and transformations with a familiar and user-friendly scikit-learn-like API. Build tuned auto-ML pipelines, with common interface to well-known libraries (scikit-learn, statsmodels, tsfresh, PyOD, fbprophet, and more!)
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