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    Business

    Super Data Science: ML & AI Podcast with Jon Krohn

    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.

    Advertise

    Copyright: © 2024 Super Data Science: ML & AI Podcast with Jon Krohn

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    Latest Episodes:
    636: The Equality Machine Dec 16, 2022
    Show notes

    Digital literacy and data bias: Can one reduce or even eradicate the other? Law professor Orly Lobel speaks with SDS host Jon Krohn about Orly’s latest book, The Equality Machine, which offers an optimistic look into the future of AI and data mining.

    Additional materials: www.superdatascience.com/636

    Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.


    635: The Perils of Manually Labeling Data for Machine Learning Models Dec 13, 2022
    Show notes

    Hand labeling data and information bias: Jon Krohn speaks with Watchful CEO Shayan Mohanty about the pitfalls of data analysis when bias comes into the equation (spoiler alert: it always does), the importance of the Chomsky hierarchy in data management, and the importance of simulation engines for returning real-time results to users.

    This episode is brought to you by Iterative (iterative.ai), your mission control center for machine learning. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

    In this episode you will learn:
    • Why bias in general is good [04:06]
    • The arguments against hand labeling [09:47]
    • How Shayan solves the problem of labeling at his company [24:26]
    • Misconceptions concerning hand-labeled data [43:25]
    • What the Chomsky hierarchy is [52:38]
    • Watchful’s high-performance simulation engine [1:04:51]
    • What Shayan looks for in his new hires [1:08:15]

    Additional materials: www.superdatascience.com/635


    634: Model Error Analysis Dec 09, 2022
    Show notes

    Data scientist and author Serg Masís joins Jon Krohn for a Five-Minute Friday episode that touches on model error analysis. Learn how this process can improve your models and discover a helpful tool that expedites this critical process.

    Additional materials: www.superdatascience.com/634

    Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.


    633: Responsible Decentralized Intelligence Dec 06, 2022
    Show notes

    This week's episode is all about Responsible Decentralized Intelligence as award-winning professor and tech entrepreneur, Dawn Song, joins Jon Krohn to help us explore this exciting topic in-depth.

    This episode is brought to you by Iterative (iterative.ai), your mission control center for machine learning. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

    In this episode you will learn:
    • What is decentralized intelligence? [3:46]
    • Dawn’s Responsible Data Economy collaboration with Meta AI [11:31]
    • How homomorphic encryption, differential privacy, and multi-party computation can work together [16:22]
    • How PrivateSQL makes differential privacy easy to use [22:54]
    • The relationship between deep learning and federated learning [37:55]
    • What is a responsible data economy [42:13]

    Additional materials: www.superdatascience.com/633


    632: Liquid Neural Networks Dec 02, 2022
    Show notes

    Liquid neural networks are a type of bio-inspired machine learning set to make a huge impact in the field of data analytics. On this week’s Five-Minute Friday, Jon Krohn speaks with Pathway.com Co-Founder Dr. Adrian Kosowski about the development of this new type of network and what this means for the future of data.
    Additional materials: www.superdatascience.com/630
    Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.


    631: Data Analytics Career Orientation Nov 29, 2022
    Show notes

    Interview success, funny memes about data, and stakeholder management: Jon Krohn speaks with Luke Barousse, a full-time YouTuber who produces content to help aspiring data scientists. First, Jon and his guest go underwater to find out how data science can help you while working on a submarine before they emerge onto Luke’s YouTube channel. There, he discloses all the helpful hacks for data science beginners—with a generous helping of humor! As founder of MacroFit, a data-driven company that helps with meal planning, Luke is no stranger to portion sizes…

    This episode is brought to you by Iterative (iterative.ai), your mission control center for machine learning. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

    In this episode you will learn:
    • Where Luke gets his inspiration for making YouTube videos [04:46]
    • How Luke got into creating comedy skits [08:21]
    • Luke’s favorite Python libraries for web scraping [14:41]
    • Incorrect assumptions that aspiring data scientists make [15:54]
    • The best time to use Power BI [19:15]
    • The biggest mistakes Luke made in his data science career [22:17]
    • Luke’s experience as a submariner and how it helped him in his data analyst career [38:13]
    • The must-have skills for entry-level data analyst roles [43:46]

    Additional materials: www.superdatascience.com/631


    630: Resilient Machine Learning Nov 25, 2022
    Show notes

    Jon Krohn sits with Dr. Dan Shiebler at the Open Data Science Conference (ODSC) to dive into the critical components of building resilient machine learning.

    Additional materials: www.superdatascience.com/630

    Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.


    629: Software for Efficient Data Science Nov 22, 2022
    Show notes

    Has the term developer advocacy ever left you scratching your head? This week data science developer advocate for JetBrains, Dr. Jodie Burchell, joins Jon Krohn to shed light on her responsibilities and why it's a role you might want to consider. Jodie also dives into building reproducible data science workflows and the keys to working effectively with real-world data.
    This episode is brought to you by Iterative (iterative.ai), the open-source company behind DVC. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.
    In this episode you will learn:
    • Jodie’s background in psychology [2:22]
    • Jodie's tips for real-world data preparation [6:55]
    • Tour JetBrains' developer tools: PyCharm, DataSpell and Datalore [10:41]
    • What is a data science developer advocate? [38:47]
    • The books that Jodie's co-authored [46:18]
    • Jodie's favorite Python libraries [58:33]
    • How to have reproducible data science workflows [1:01:36]
    Additional materials: www.superdatascience.com/629


    628: The Critical Human Element of Successful A.I. Deployments Nov 18, 2022
    Show notes

    On this episode of Five-Minute Friday, Jon Krohn speaks from the Open Data Science Conference (ODSC). There, he sits down with author and data scientist Keith McCormick to discuss the conference’s key trend: learning the importance of trust in the relationship between humans and algorithms.

    Additional materials: www.superdatascience.com/628


    Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.


    627: AutoML: Automated Machine Learning Nov 15, 2022
    Show notes

    Jon Krohn speaks with Erin LeDell, H2O.ai’s Chief Machine Learning Scientist. They investigate how AutoML supercharges the data science process, the importance of admissible machine learning for an equitable data-driven future, and what Erin’s group Women in Machine Learning & Data Science is doing to increase inclusivity and representation in the field.

    This episode is brought to you by Datalore (datalore.online/SDS), the collaborative data science platform. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.


    In this episode you will learn:
    • The H2O AutoML platform Erin developed [07:43]
    • How genetic algorithms work [19:17]
    • Why you should consider using AutoML? [28:15]
    • The “No Free Lunch Theorem” [33:45]
    • What Admissible Machine Learning is [37:59]
    • What motivated Erin to found R-Ladies Global and Women in Machine Learning and Data Science [47:00]
    • How to address bias in datasets [57:03]


    Additional materials: www.superdatascience.com/627


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