• Super Data Science: ML & AI Podcast with Jon Krohn

  • By: Jon Krohn
  • Podcast
  • 5.0 out of 5 stars (1 rating)
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Super Data Science: ML & AI Podcast with Jon Krohn

By: Jon Krohn
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  • Summary

  • The latest machine learning, A.I., and data career topics from across both academia and industry are brought to you by host Dr. Jon Krohn on the Super Data Science Podcast. As the quantity of data on our planet doubles every couple of years and with this trend set to continue for decades to come, there's an unprecedented opportunity for you to make a meaningful impact in your lifetime. In conversation with the biggest names in the data science industry, Jon cuts through hype to fuel that professional impact. Whether you're curious about getting started in a data career or you're a deep technical expert, whether you'd like to understand what A.I. is or you'd like to integrate more data-driven processes into your business, we have inspiring guests and lighthearted conversation for you to enjoy. We cover tools, techniques, and implementation tricks across data collection, databases, analytics, predictive modeling, visualization, software engineering, real-world applications, commercialization, and entrepreneurship − everything you need to crush it with data science.
    © 2024 Super Data Science: ML & AI Podcast with Jon Krohn
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Episodes
  • 788: Multi-Agent Systems: How Teams of LLMs Excel at Complex Tasks

    788: Multi-Agent Systems: How Teams of LLMs Excel at Complex Tasks
    May 31 2024

    Multi-agent systems could mark a significant turning point in generative AI. From mastering increasingly complex tasks to getting LLMs to collaborate, in this Five-Minute Friday, Jon Krohn discusses the systems that are working to bridge the remaining gaps left by the latest large language models (LLMs).

    Additional materials: www.superdatascience.com/788

    Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.
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    10 mins
  • 787: MLOps: The Job and The Key Tools, with Demetrios Brinkmann

    787: MLOps: The Job and The Key Tools, with Demetrios Brinkmann
    May 28 2024

    MLOps, how to build an online community, and tools for scaling LLMs: In this episode, Demetrios Brinkmann speaks to Jon Krohn about the similarities and differences between LLMOps, MLOps and DevOps, and why this should matter to companies looking to hire such engineers. You will also hear how to get involved in the MLOps community wherever you are in the world, and how you can start developing great products with the available tools.

    This episode is brought to you by AWS Inferentia and AWS Trainium. Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.

    In this episode you will learn:
    • What MLOps is [03:51]
    • About LLMOps [12:06]
    • About LlamaIndex and Ollama [18:29]
    • Insights from Demetrios’ MLOps survey [20:49]
    • Guidance for using third-party APIs [40:18]
    • Recommendations for building an online community in tech and AI [47:07]

    Additional materials: www.superdatascience.com/787
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    56 mins
  • 786: The Six Keys to Data Scientists' Success, with Kirill Eremenko

    786: The Six Keys to Data Scientists' Success, with Kirill Eremenko
    May 24 2024

    Learn about the six keys to data science success as host Jon Krohn welcomes back Kirill Eremenko, the mastermind behind SuperDataScience. Kirill shares his top insights on data science careers, from building strong portfolios to leveraging mentors and hands-on labs. With over 2.7 million students, his advice is a must-hear for aspiring and experienced data scientists alike.

    Additional materials: www.superdatascience.com/786

    Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.
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    27 mins
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Profile Image for William D.

Simply a must have in your arsenal

Hands down my #1 source for getting a simplified, inspirational feel and sound for motivation. God bless SuperDataScience and cheers!

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