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
    • 4.3 • 4 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.

    665: How to be both socially impactful and financially successful in your data career

    665: How to be both socially impactful and financially successful in your data career

    Angel investor and data science consultant Josh Wills sits down with Jon Krohn to discuss his former roles (Google, Slack, and Cloudera) and the essential skills for engineering scalable machine learning projects.

    This episode is brought to you by Pathway, the reactive data processing framework (www.pathway.com/?from=superdatascience), and by epic LinkedIn Learning instructor Keith McCormick(https://linkedin.com/learning/instructors/keith-mccormick). Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

    In this episode you will learn:
    • Josh's 'Data Engineering for Machine Learning' course [06:50]
    • Contextual bandits [10:52]
    • Data quality and monitoring [16:45]
    • The “infinite loop of sadness” in data product development [25:12]
    • Josh’s definition of a data scientist [30:02]
    • Josh's role at WeaveGrid [37:36]
    • Management-Track vs Independent Contributor [48:47]
    • Josh's work on the Covid pandemic [1:06:46]
    • Josh’s favorite tech stack [1:11:13]

    Additional materials: www.superdatascience.com/665

    • 1 hr 27 min
    664: MIT Study: ChatGPT Dramatically Increases Productivity

    664: MIT Study: ChatGPT Dramatically Increases Productivity

    Can ChatGPT make us better and faster in our work, and is it the future or just another fad? In this episode, Jon Krohn delves into a new study from MIT about the tool’s potential productivity for white-collar tasks.

    Additional materials: www.superdatascience.com/664

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

    • 5 min
    663: Astonishing CICERO negotiates and builds trust with humans using natural language

    663: Astonishing CICERO negotiates and builds trust with humans using natural language

    NLP, transformer architectures, and machines beating humans at their own game: Jon Krohn talks to Alexander H. Miller about his work in building a machine that can outsmart humans in the game of Diplomacy by engineering powers of persuasion and collusion to its own advantage.

    This episode is brought to you by epic LinkedIn Learning instructor Keith McCormick(linkedin.com/learning/instructors/keith-mccormick). Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

    In this episode you will learn:
    • Training a natural language model to interact with Diplomacy players [05:07]
    • Processing speeds for a Diplomacy bot [29:32]
    • Using transformer architectures [37:25]
    • How Diplomacy AI actually works [43:25]
    • CICERO's potential real-world applications [55:28]
    • How to R&D an AI project [59:27]
    • How to become an AI Research Manager [1:06:12]

    Additional materials: www.superdatascience.com/663

    • 1 hr 17 min
    662: The Most Popular SuperDataScience Podcast Episodes of 2022

    662: The Most Popular SuperDataScience Podcast Episodes of 2022

    Our list of the top 10 SuperDataScience podcast episodes for 2022 is here. From Pandas to causality, AI breakthroughs and data storytelling, these were your most popular episodes of the year gone by.

    Additional materials: www.superdatascience.com/662

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

    • 7 min
    661: Designing Machine Learning Systems

    661: Designing Machine Learning Systems

    Chip Huyen, co-founder of Claypot AI and author of O'Reilly's best-selling "Designing Machine Learning Systems" is here to share her expertise on designing production-ready machine learning applications, the importance of iteration in real-world deployment, and the critical role of real-time machine learning in various applications. Technical listeners like data scientists and machine learning engineers will definitely enjoy this one!

    This episode is brought to you by Pathway, the reactive data processing framework (https://www.pathway.com/?from=superdatascience), and by epic LinkedIn Learning instructor Keith McCormick(linkedin.com/learning/instructors/keith-mccormick). Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

    In this episode you will learn:
    • Why Chip wrote 'Designing Machine Learning Systems' [08:58]
    • How Chip ended up teaching at Stanford [13:18]
    • About Chip's book 'Designing Machine Learning Systems' [21:12]
    • What makes ML feel like magic [30:53]
    • How to align business intent, context, and metrics with ML [37:55]
    • The lessons Chip learned about training data [42:03]
    • Chip's secrets to engineering good features [53:19]
    • How Chip optimizes her productivity [1:07:48]

    Additional materials: www.superdatascience.com/661

    • 1 hr 16 min
    660: Five Ways to Use ChatGPT for Data Science

    660: Five Ways to Use ChatGPT for Data Science

    ChatGPT is well-known for its potential to disrupt the writing industry, but in what other, perhaps less explored, ways can we use the tool? In this episode, Jon Krohn outlines five critical ways that ChatGPT can augment a data scientist’s work. From generating code to acting as a translation tool for programming languages, listen in to hear why ChatGPT could become a vital part of every data scientist’s toolkit.

    Additional materials: www.superdatascience.com/660

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

    • 3 min

Customer Reviews

4.3 out of 5
4 Ratings

4 Ratings

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