500 episodes

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.

Super Data Science Jon Krohn and Guests on Machine Learning, A.I., and Data-Career Success

    • Technology
    • 4.9 • 31 Ratings

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.

    SDS 612: More Guests on Fridays

    SDS 612: More Guests on Fridays

    Some exciting changes are coming to our popular Five-Minute Friday series! From longer episodes to new guests, tune in to hear what's next.

    Additional materials: www.superdatascience.com/612

    Interested in sponsoring a SuperDataScience podcast episode? Email Natalie at Natalie@jonkrohn.com

    • 3 min
    SDS 611: Open-Ended A.I.: Practical Applications for Humans and Machines

    SDS 611: Open-Ended A.I.: Practical Applications for Humans and Machines

    Dr. Ken Stanley, a world-leading expert on Open-Ended AI and author of the genre-bending book "Why Greatness Cannot be Planned," joins Jon Krohn for a discussion that has the potential to shift your entire view on life. Tune in now to learn more about the complex topics of genetic ML algorithms, the Objective Paradox, Novelty Search, and so much more.

    This episode is brought to you by Zencastr, the easiest way to make high-quality podcasts. Interested in sponsoring a SuperDataScience podcast episode? Email Natalie at Natalie@jonkrohn.com

    In this episode you will learn:
    • Ken on his book 'Why Greatness Cannot Be Planned" and the Objective Paradox [4:15]
    • The Novelty Search approach [24:14]
    • How open-ended algorithms like Novelty Search can be stopped from doing something potentially dangerous [1:00:00]
    • The future of open-ended AI and its intimate relationship with Artificial General Intelligence [1:07:34]
    • Ken's new company [1:13:34]
    • How AI could transform life for humans in the coming decades [1:18:29]

    Additional materials: www.superdatascience.com/611

    • 1 hr 30 min
    SDS 610: Who Dares Wins

    SDS 610: Who Dares Wins

    On this episode of Five-Minute Friday, host Jon Krohn shares his life motto, “Who dares, wins”, and the sentiment behind it: that to get anywhere in life, it is first necessary to try. Jon believes that “daring”, in this instance, simply means taking action when we have a good idea or when a new opportunity becomes available. Listen to the end for constructive advice on how to be daring in your own life right now.

    Additional materials: www.superdatascience.com/610

    Interested in sponsoring a SuperDataScience podcast episode? Email Natalie at Natalie@jonkrohn.com

    • 5 min
    SDS 609: Data Mesh

    SDS 609: Data Mesh

    Jon Krohn speaks with Zhamak Dehghani, the empathetic technologist who coined the term “data mesh”. They explore what a data mesh is, and how its approach toward secure interconnectivity will help solve a roster of data-led business problems.

    This episode is brought to you by Zencastr, the easiest way to make high-quality podcasts. Interested in sponsoring a SuperDataScience podcast episode? Email Natalie at Natalie@jonkrohn.com

    In this episode you will learn:
    • The importance of data meshes [3:29]
    • How standardizing database interfaces helps tech giants like Amazon [6:40]
    • Current challenges with data meshes [9:33]
    • How data meshes give users the freedom to work with data [17:09]
    • The missing piece of the puzzle for data meshes [22:11]
    • How data meshes connect with the metaverse and Web3 [33:18]
    • The times when data meshes aren’t fit for purpose [42:24]

    Additional materials: www.superdatascience.com/609

    • 50 min
    SDS 607: Inferring Causality

    SDS 607: Inferring Causality

    Dr. Jennifer Hill, Professor of Applied Statistics at New York University, joins Jon this week for a discussion that covers causality, correlation, and inference in data science.

    In this episode you will learn:
    • How causality is central to all applications of data science [4:32]
    • How correlation does not imply causation [11:12]
    • What is counterfactual and how to design research to infer causality from the results confidently [21:18]
    • Jennifer’s favorite Bayesian and ML tools for making causal inferences within code [29:14]
    • Jennifer’s new graphical user interface for making causal inferences without the need to write code [38:41]
    • Tips on learning more about causal inference [43:27]
    • Why multilevel models are useful [49:21]

    Additional materials: www.superdatascience.com/607

    • 1 hr 13 min
    SDS 608: Daily Habit #11: Assigning Deliverables

    SDS 608: Daily Habit #11: Assigning Deliverables

    Company meetings should be held to solve problems. So, why do we often feel like the weekly stand-ups and check-ins are a waste of everyone’s time? On this episode of Five-Minute Friday, host Jon Krohn brings his habit-making practices into the dreaded meeting room. Make every meeting productive and positive with his five-step method for assigning deliverables.

    Additional materials: www.superdatascience.com/608

    • 3 min

Customer Reviews

4.9 out of 5
31 Ratings

31 Ratings

JAYRAWAT ,

AMAZING - MUST LISTEN

Amazing episodes, not only technical but few learning which might help in making real life decisions.
Learn from experiences of the successful people and learn from their mistakes, be a part of the journey.

DalLucifer ,

Very interesting listen

So far I've heard 3 of these podcasts and they are very interesting and insightful. Hopefully get time to listen to all of them. Keep up the good work Kirill

Datamonk ,

Awesome Podcasts

This podcast is super helpful if you are looking to know what is data science and how to get started in it. If you are already one, then too you can get to know about various aspects of data science.

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