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sktime?—?Python Toolbox for Machine Learning with Time Series

ODSC - Open Data Science

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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Machine Learning with MATLAB and Amazon SageMaker

Flipboard

Because we have a model of the system and faults are rare in operation, we can take advantage of simulated data to train our algorithm. Our objective is to demonstrate the combined power of MATLAB and Amazon SageMaker using this fault classification example. To learn how to train RUL algorithms, see Predictive Maintenance Toolbox.

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Federated learning on AWS using FedML, Amazon EKS, and Amazon SageMaker

AWS Machine Learning Blog

To mitigate these risks, the FL model uses personalized training algorithms and effective masking and parameterization before sharing information with the training coordinator. module.eks_blueprints_kubernetes_addons -auto-approve terraform destroy -target=module.m_fedml_edge_client_2.module.eks_blueprints_kubernetes_addons

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Improved ML model deployment using Amazon SageMaker Inference Recommender

AWS Machine Learning Blog

We train an XGBoost model for a classification task on a credit card fraud dataset. Model Framework XGBoost Model Size 10 MB End-to-End Latency 100 milliseconds Invocations per Second 500 (30,000 per minute) ML Task Binary Classification Input Payload 10 KB We use a synthetically created credit card fraud dataset. large", "ml.m5.xlarge",

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Grading Complex Interactive Coding Programs with Reinforcement Learning

The Stanford AI Lab Blog

[Summary] tl;dr: A tremendous amount of effort has been poured into training AI algorithms to competitively play games that computers have traditionally had trouble with, such as the retro games published by Atari, Go, DotA, and StarCraft II. Can the same algorithms that master Atari games help us grade these game assignments?

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Host ML models on Amazon SageMaker using Triton: CV model with PyTorch backend

AWS Machine Learning Blog

Triton implements multiple scheduling and batching algorithms that can be configured on a model-by-model basis. When configuring your auto scaling groups for SageMaker endpoints, you may want to consider SageMakerVariantInvocationsPerInstance as the primary criteria to determine the scaling characteristics of your auto scaling group.

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MLOps Landscape in 2023: Top Tools and Platforms

The MLOps Blog

For example, if your team works on recommender systems or natural language processing applications, you may want an MLOps tool that has built-in algorithms or templates for these use cases. Scale AI combines human annotators and machine learning algorithms to deliver efficient and reliable annotations for your team.