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7 - What are the best AI Software Packages

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Manage episode 480449095 series 3646654
Content provided by Michael Berk. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Michael Berk or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://staging.podcastplayer.com/legal.

In this episode, Michael and Ben explore the world of open source projects in AI, focusing on MLflow and its various flavors. They discuss popular machine learning libraries like Scikit-learn, SparkML, and tree-based algorithms such as XGBoost and LightGBM. The conversation also delves into time series forecasting techniques and the rapidly evolving landscape of generative AI, emphasizing the importance of understanding the strengths and weaknesses of different tools in the open source community.

  continue reading

7 episodes

Artwork
iconShare
 
Manage episode 480449095 series 3646654
Content provided by Michael Berk. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Michael Berk or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://staging.podcastplayer.com/legal.

In this episode, Michael and Ben explore the world of open source projects in AI, focusing on MLflow and its various flavors. They discuss popular machine learning libraries like Scikit-learn, SparkML, and tree-based algorithms such as XGBoost and LightGBM. The conversation also delves into time series forecasting techniques and the rapidly evolving landscape of generative AI, emphasizing the importance of understanding the strengths and weaknesses of different tools in the open source community.

  continue reading

7 episodes

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