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

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

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
  • 780: How to Become a Data Scientist, with Dr. Adam Ross Nelson

    780: How to Become a Data Scientist, with Dr. Adam Ross Nelson
    May 3 2024

    Want to become a data scientist? Jon and Adam discuss the key steps to becoming a data scientist, with a focus on developing portfolio projects. Hear about the 10 project ideas Adam recommends in his book to help you stand out in the data science community.

    Additional materials: www.superdatascience.com/780

    Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.
    Show more Show less
    8 mins
  • 779: The Tidyverse of Essential R Libraries and their Python Analogues, with Dr. Hadley Wickham

    779: The Tidyverse of Essential R Libraries and their Python Analogues, with Dr. Hadley Wickham
    Apr 30 2024

    Tidyverse, ggplot2, and the secret to a tech company’s longevity: Hadley Wickham talks to Jon Krohn about Posit’s rebrand, Tidyverse and why it needs to be in every data scientist’s toolkit, and why getting your hands dirty with open-source projects can be so lucrative for your career.

    This episode is brought to you by Intel and HPE Ezmeral Software. Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.

    In this episode you will learn:
    • All about the Tidyverse [04:46]
    • Hadley’s favorite R libraries [17:10]
    • The goal of Posit [30:29]
    • On bringing multiple programming languages together [36:02]
    • The principles for a long-lasting tech company [52:10]
    • How Hadley developed ggplot2 [55:24]
    • How to contribute to the open-source community [1:05:43]

    Additional materials: www.superdatascience.com/779
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    1 hr and 28 mins
  • 778: Mixtral 8x22B: SOTA Open-Source LLM Capabilities at a Fraction of the Compute

    778: Mixtral 8x22B: SOTA Open-Source LLM Capabilities at a Fraction of the Compute
    Apr 26 2024

    Mixtral 8x22B is the focus on this week's Five-Minute Friday. Jon Krohn examines how this model from French AI startup Mistral leverages its mixture-of-experts architecture to redefine efficiency and specialization in AI-powered tasks. Tune in to learn about its performance benchmarks and the transformative potential of its open-source license.

    Additional materials: www.superdatascience.com/778

    Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.
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    7 mins
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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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