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6 AI tools revolutionizing data analysis: Unleashing the best in business

Data Science Dojo

Scikit-learn can be used for a variety of data analysis tasks, including: Classification Regression Clustering Dimensionality reduction Feature selection Leveraging Scikit-learn in data analysis projects Scikit-learn can be used in a variety of data analysis projects. It is open-source, so it is free to use and modify.

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Use GitHub Actions with Azure ML Studio: train, deploy/publish, monitor

Mlearning.ai

I recently took the Azure Data Scientist Associate certification exam DP-100, thankfully I passed after about 3–4 months for studying the Microsoft Data Science Learning Path and the Coursera Microsoft Azure Data Scientist Associate Specialization. Resources include the: Resource group, Azure ML studio, Azure Compute Cluster.

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Get Creative with AI Forecasting in Changing Economic Conditions

DataRobot Blog

In this blog, we’ll review the DataRobot new Time Series clustering feature, which gives you a creative edge to build time series forecasting models by automatically grouping series that are identical to each other and then building models tailored to these groups. You can also connect to Snowflake, Azure, Redshift and many other databases.

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Citus 12: Schema-based sharding for PostgreSQL

Hacker News

And if you want to see demos of some of this functionality, be sure to join us for the livestream of the Citus 12.0 Moreover, the cluster can be rebalanced based on disk usage, such that large schemas automatically get more resources dedicated to them, while small schemas are efficiently packed together. Updates page. metric = alerts.

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Introducing the MLOps Management Agent

DataRobot

The MLOps Management Agent provides a framework to automate the entire model deployment lifecycle in any environment or infrastructure such as Azure, GCP, AWS, or your own on-premise Kubernetes cluster. See It Live: Kubernetes Deployment on Azure. What’s the new page , you can find a demo video to see how it works.

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Snorkel Flow Spring 2023: warm starts and foundation models

Snorkel AI

If you want to see Snorkel Flow in action, sign up for a demo. Native integrations with Tesseract and Azure Form Recognizer for OCR processing unlock non-native PDF use cases without the need to pre-process data through an external OCR service. Schedule a demo with one of our Snorkel Flow experts. Advanced SDK tools.

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Building A Spotify Recommendation App

Mlearning.ai

I realized that the algorithm assumes that we like a particular genre and artist and groups us into these clusters, not letting us discover and experience new music. I then posted it on github built the app on Azure web pages. While scrolling through my recommended playlist.