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Real-Time ML with Spark and SBERT, AI Coding Assistants, Data Lake Vendors, and ODSC East…

ODSC - Open Data Science

Real-Time ML with Spark and SBERT, AI Coding Assistants, Data Lake Vendors, and ODSC East Highlights Getting Up to Speed on Real-Time Machine Learning with Spark and SBERT Learn more about real-time machine learning by using this approach that uses Apache Spark and SBERT.

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How to build reusable data cleaning pipelines with scikit-learn

Snorkel AI

AB : And in terms of your work, are you mostly using tabular data, and therefore you’re mostly building Scikit-Learn pipelines? Or do you end up using a lot of like deep learning models and so you need to figure out how to build a pipeline around that, maybe, or other frameworks there? How does that look for you?

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How to build reusable data cleaning pipelines with scikit-learn

Snorkel AI

AB : And in terms of your work, are you mostly using tabular data, and therefore you’re mostly building Scikit-Learn pipelines? Or do you end up using a lot of like deep learning models and so you need to figure out how to build a pipeline around that, maybe, or other frameworks there? How does that look for you?

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Build and evaluate machine learning models with advanced configurations using the SageMaker Canvas model leaderboard

AWS Machine Learning Blog

Amazon SageMaker Canvas is a no-code workspace that enables analysts and citizen data scientists to generate accurate machine learning (ML) predictions for their business needs. Deep learning algorithm: A multilayer perceptron (MLP) and feedforward artificial neural network.