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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:
    686: Open-Source "Responsible A.I." Tools, with Ruth Yakubu Jun 09, 2023
    Show notes

    Mircosoft’s Ruth Yakubu joins Jon Krohn to discuss Responsible AI principles and the open-source Responsible AI Toolbox, allowing users to assess their models for fairness, inclusiveness, privacy, explainability, accountability, and reliability before deployment.
    Additional materials: www.superdatascience.com/686
    Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.


    685: Tools for Building Real-Time Machine Learning Applications, with Richmond Alake Jun 06, 2023
    Show notes

    Richmond Alake, a Machine Learning Architect at Slalom Build, sits down with Jon to share real-time ML insights, tools and career experiences for a high-energy and high impact episode. From his work at Slalom Build to his two AI startups, discover the software choices, ML tools, and front-end development techniques used by a leader in the field.
    This episode is brought to you by Posit, the open-source data science company, by AWS Inferentia, and by WithFeeling.ai, the company bringing humanity into AI. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.
    In this episode you will learn:
    • What is a Machine Learning Architect? [03:09]
    • Richmond's startups [12:07]
    • Why Richmond started a podcast [29:51]
    • Richmond's new course on feature stores [38:05]
    • Why Richmond produces data science content [43:25]
    • Why All Data Scientists Should Write [51:30]
    Additional materials: www.superdatascience.com/685


    684: Get More Language Context out of your LLM Jun 02, 2023
    Show notes

    Open-source LLMs, FlashAttention and generative AI terminology: Host Jon Krohn gives us the lift we need to explore the next big steps in generative AI. Listen to the specific way in which Stanford University’s “exact attention” algorithm, FlashAttention, could become a competitor for GPT-4’s capabilities.
    Additional materials: www.superdatascience.com/684
    Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.


    683: Contextual A.I. for Adapting to Adversaries, with Dr. Matar Haller May 30, 2023
    Show notes

    Monitoring malicious, user-generated content; contextual AI; adapting to novel evasion attempts: Matar Haller speaks to Jon Krohn about the challenges of identifying, analyzing and flagging malicious information online. In this episode, Matar explains how contextual AI and a “database of evil” can help resolve the multiple challenges of blocking dangerous content across a range of media, even those that are live-streamed.
    This episode is brought to you by Posit, the open-source data science company, by Anaconda, the world's most popular Python distribution, and by WithFeeling.ai, the company bringing humanity into AI. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.
    In this episode you will learn:
    • How ActiveFence helps its customers to moderate platform content [05:36]
    • How ActiveFence finds extreme social media users trying to evade detection [16:32]
    • How to monitor live-streaming content and analyze it for dangerous material [29:13]
    • The technologies ActiveFence uses to run its platform [35:54]
    • Matar’s experience of the Insight Fellows Program (Data Science Fellowship) [40:28]
    • Leadership opportunities for women in STEM [1:00:41]
    • Israel’s R&D edge for AI [1:13:19]
    Additional materials: www.superdatascience.com/683


    682: Business Intelligence Tools, with Mico Yuk May 26, 2023
    Show notes

    In this week's episode, Mico Yuk, host of 'Analytics on Fire', joins Jon Krohn to share her effective business intelligence and analytics framework, BIDS, for persuading key decision makers. She crowns one "power" tool as the analytics king and discusses emerging tools that could challenge its dominance. Tune in for unapologetic insights on future and current BI trends and happenings from the world of BI and analytics.
    Additional materials: www.superdatascience.com/682
    Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.


    681: XGBoost: The Ultimate Classifier, with Matt Harrison May 23, 2023
    Show notes

    Unlock the power of XGBoost by learning how to fine-tune its hyperparameters and discover its optimal modeling situations. This and more, when best-selling author and leading Python consultant Matt Harrison teams up with Jon Krohn for yet another jam-packed technical episode! Are you ready to upgrade your data science toolkit in just one hour? Tune-in now!
    This episode is brought to you by Pathway, the reactive data processing framework, by Posit, the open-source data science company, and by Anaconda, the world's most popular Python distribution. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.
    In this episode you will learn:
    • Matt's book ‘Effective XGBoost’ [07:05]
    • What is XGBoost [09:09]
    • XGBoost's key model hyperparameters [19:01]
    • XGBoost's secret sauce [29:57]
    • When to use XGBoost [34:45]
    • When not to use XGBoost [41:42]
    • Matt’s recommended Python libraries [47:36]
    • Matt's production tips [57:57]
    Additional materials: www.superdatascience.com/681


    680: Automating Industrial Machines with Data Science and the Internet of Things (IoT) May 19, 2023
    Show notes

    Industrial machinery’s dependence on data science, tech stacks to build IoT platforms, and transitioning from data science to product: This week’s Friday episode with Allegra Alessi explores the minutiae of product ownership for the Internet of Things at packaging company Bobst. Join host Jon Krohn and his guest as they unpack how the IoT is leading factory production.
    Additional materials: www.superdatascience.com/680
    Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.


    679: The A.I. and Machine Learning Landscape, with investor George Mathew May 16, 2023
    Show notes

    Generative AI, MLOps, and making smart investments in AI: This week’s episode is critical listening for AI investors and generative AI creators. AI investor George Mathew talks with host Jon Krohn about the emerging generative AI stack, the critical elements of MLOps to ensure a scalable model, and the tools developers can use for a saleable product.
    This episode is brought to you by Posit, the open-source data science company, by AWS Inferentia, and by Anaconda, the world's most popular Python distribution. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.
    In this episode you will learn:
    • Venture capital’s role in the technology startup ecosystem [05:59]
    • How RLHF helps UI become more intuitive [12:53]
    • The four layers of the generative AI stack [34:16]
    • The risks for generative AI business founders and investors [46:50]
    • How MLOps drive best practices and help implementation [56:33]
    • The importance of PLG (Product Lead Growth) [1:04:15]
    • How generative AI tools will impact the labor market [1:17:34]
    Additional materials: www.superdatascience.com/679


    678: StableLM: Open-source "ChatGPT"-like LLMs you can fit on one GPU May 12, 2023
    Show notes

    StableLM, the new family of open-source language models from the brilliant minds behind Stable Diffusion is out! Small, but mighty, these models have been trained on an unprecedented amount of data for single GPU LLMs. This week, Jon breaks down the mechanics of this model–see you there!

    Additional materials: www.superdatascience.com/678

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


    677: Digital Analytics with Avinash Kaushik May 09, 2023
    Show notes

    How does one use marketing analytics to drive business success? Avinash Kaushik, Chief Strategy Officer at Croud and former Sr. Director of Global Strategic Analytics at Google joins Jon Krohn live for an exciting episode that covers the transformative power of AI, his 'four clusters of intent' framework and the value of hands-on data tools.


    This episode is brought to you by Pathway, the reactive data processing framework, by Posit, the open-source data science company, and by Anaconda, the world's most popular Python distribution. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.


    In this episode you will learn:

    • What is a chief strategy officer? [3:55]

    • Brand vs performance analytics [7:23]

    • Incrementality-centric marketing [32:53]

    • Avinash's time at Google [37:54]

    • How to maintain human-touch with AI [48:58]

    • Four clusters of intent framework [1:11:28]

    • Avinash's most significant career challenges [1:17:18]


    Additional materials: www.superdatascience.com/677


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