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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:
    795: Fast-Evolving Data and AI Regulatory Frameworks, with Dr. Gina Guillaume-Joseph Jun 25, 2024
    Show notes

    Gina Guillaume-Joseph talks to Jon Krohn about the data and regulatory frameworks set to transform the AI industry and why that’s important to anyone working with data. This episode offers a solid path to understanding AI regulation’s past, present and future. Gina walks listeners through the AI Bill of Rights, the NIST AI Risk Framework and the MITRE ATLAS threat model.


    This episode is brought to you by AWS Inferentia and AWS Trainium, by Crawlbase, the ultimate data crawling platform, and by Babbel, the science-backed language-learning platform. Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.


    In this episode you will learn:

    • What “responsible AI” means [08:14]

    • Why the federal government should be behind AI regulation [12:22]

    • The US vs EU on AI regulation [18:46]

    • About the AI Bill of Rights [26:14]

    • About MITRE and the MITRE Atlas [37:19]

    • What a systems engineer does [54:11]


    Additional materials: www.superdatascience.com/795


    794: Exciting (and Frightening!) Trends in Open-Source AI Jun 21, 2024
    Show notes

    Trends in open-source AI: Join Jon Krohn and a panel of data science icons as they discuss the most exciting and concerning developments in open-source AI. Hear insights from Drew Conway, Jared Lander, Emily Zabor, and JD Long on the transformative potential of AI and its future impact.


    Additional materials: www.superdatascience.com/794


    Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.


    793: Bayesian Methods and Applications, with Alexandre Andorra Jun 18, 2024
    Show notes

    Bayesian methods take the spotlight in this episode with Alex Andorra, co-founder of PyMC Labs, and Jon Krohn. Learn how Bayesian techniques handle tough problems, make the most of prior knowledge, and work wonders with limited data. Alex and Jon break down essentials like PyMC, PyStan, and NumPyro libraries, show how to boost model efficiency with PyTensor, and talk about using ArviZ for top-notch diagnostics and visualizations. Plus, get into advanced modeling with Gaussian Processes.


    This episode is brought to you by Crawlbase, the ultimate data crawling platform. Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.


    In this episode you will learn:

    • Practical introduction to Bayesian statistics [04:54]

    • Definition and significance of epistemology [17:52]

    • Explanation of PyMC and Monte Carlo methods [27:57]

    • How to get started with Bayesian modeling and PyMC [34:26]

    • PyMC Labs and its consulting services [50:50]

    • ArviZ for post-modeling diagnostics and visualization [01:02:23]

    • Gaussian processes and their applications [01:09:02]


    Additional materials: www.superdatascience.com/793


    792: In Case You Missed It in May 2024 Jun 14, 2024
    Show notes

    Jon Krohn shares his favorite clips from May. Hear how Navdeep Martin is spearheading a company to tackle the climate crisis, why Sol Rashidi and Demetrios Brinkmann find nailing job titles so necessary in the fast-paced industries of tech and AI, and get the latest on embeddings with Luis Serrano.


    Additional materials: www.superdatascience.com/792


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


    791: Reinforcement Learning from Human Feedback (RLHF), with Dr. Nathan Lambert Jun 11, 2024
    Show notes

    Reinforcement learning through human feedback (RLHF) has come a long way. In this episode, research scientist Nathan Lambert talks to Jon Krohn about the technique’s origins of the technique. He also walks through other ways to fine-tune LLMs, and how he believes generative AI might democratize education.


    This episode is brought to you by AWS Inferentia (go.aws/3zWS0au) and AWS Trainium (go.aws/3ycV6K0), and Crawlbase (crawlbase.com), the ultimate data crawling platform. Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.


    In this episode you will learn:

    • Why it is important that AI is open [03:13]

    • The efficacy and scalability of direct preference optimization [07:32]

    • Robotics and LLMs [14:32]

    • The challenges to aligning reward models with human preferences [23:00]

    • How to make sure AI’s decision making on preferences reflect desirable behavior [28:52]

    • Why Nathan believes AI is closer to alchemy than science [37:38]


    Additional materials: www.superdatascience.com/791


    790: Open-Source Libraries for Data Science at the New York R Conference Jun 07, 2024
    Show notes

    The experts reveal their top open-source R libraries with us live from the New York R Conference! This Super Data Science Podcast episode features an exclusive panel with data science trailblazers Drew Conway, Jared Lander, Emily Zabor, and JD Long. They share their favorite R libraries and valuable insights to enhance your data science practice.


    Additional materials: www.superdatascience.com/790


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


    789: ML for Wind-Powered Energy Generation, with Dr. Jason Yosinski Jun 04, 2024
    Show notes

    Machine Learning for Wind Energy is front and center in this episode as Jon Krohn is joined by Dr. Jason Yosinski, CEO of Windscape AI. Dr. Yosinski brings to light the latest ML advancements sparking significant changes in renewable energy. Tune in for a comprehensive review of these cutting-edge technologies and their expansive impact on the industry and the environment's well-being.


    This episode is brought to you by Crawlbase, the ultimate data crawling platform. Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.


    In this episode you will learn:

    • Enhancing predictability in wind energy with ML [04:52]

    • Data utilization from wind turbines by energy providers [11:41]

    • Jason's journey into wind energy [17:55]

    • Landing the right startup idea [22:47]

    • Visualizing neural networks with the Deep Vis Toolbox [31:29]

    • Extreme event forecasting at Uber vs. nowcasting at Windscape AI [45:13]

    • Discoveries from Loss Change Allocation research [47:48]

    • Engaging with Jason's ML Collective [59:46]

    • Traits of successful AI entrepreneurs [1:10:26]


    Additional materials: www.superdatascience.com/789


    788: Multi-Agent Systems: How Teams of LLMs Excel at Complex Tasks May 31, 2024
    Show notes

    Multi-agent systems could mark a significant turning point in generative AI. From mastering increasingly complex tasks to getting LLMs to collaborate, in this Five-Minute Friday, Jon Krohn discusses the systems that are working to bridge the remaining gaps left by the latest large language models (LLMs).


    Additional materials: www.superdatascience.com/788


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


    787: MLOps: The Job and The Key Tools, with Demetrios Brinkmann May 28, 2024
    Show notes

    MLOps, how to build an online community, and tools for scaling LLMs: In this episode, Demetrios Brinkmann speaks to Jon Krohn about the similarities and differences between LLMOps, MLOps and DevOps, and why this should matter to companies looking to hire such engineers. You will also hear how to get involved in the MLOps community wherever you are in the world, and how you can start developing great products with the available tools.


    This episode is brought to you by AWS Inferentia (go.aws/3zWS0au) and AWS Trainium (go.aws/3ycV6K0). Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.


    In this episode you will learn:

    • What MLOps is [03:51]

    • About LLMOps [12:06]

    • About LlamaIndex and Ollama [18:29]

    • Insights from Demetrios’ MLOps survey [20:49]

    • Guidance for using third-party APIs [40:18]

    • Recommendations for building an online community in tech and AI [47:07]


    Additional materials: www.superdatascience.com/787


    786: The Six Keys to Data Scientists' Success, with Kirill Eremenko May 24, 2024
    Show notes

    Learn about the six keys to data science success as host Jon Krohn welcomes back Kirill Eremenko, the mastermind behind SuperDataScience. Kirill shares his top insights on data science careers, from building strong portfolios to leveraging mentors and hands-on labs. With over 2.7 million students, his advice is a must-hear for aspiring and experienced data scientists alike.
    Additional materials: www.superdatascience.com/786
    Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.


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