500 episodes
Super Data Science: ML & AI Podcast with Jon Krohn Jon Krohn
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- Technology
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.
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718: ChatGPT Custom Instructions: A Major, Easy Hack for Data Scientists
Elevate your ChatGPT game with a useful custom instruction. Tune in to hear Jon’s trick for maximizing ChatGPT’s potential.
Additional materials: www.superdatascience.com/718
Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information. -
717: Overcoming Adversaries with A.I. for Cybersecurity, with Dr. Dan Shiebler
Dr. Dan Shiebler, Head of ML at Abnormal Security, joins Jon Krohn this week and unveils the intricacies of cybercrime detection and email protection, and the role of AI in future challenges.
This episode is brought to you by Grafbase (https://grafbase.com), the unified data layer, by ODSC (https://odsc.com/), the Open Data Science Conference, and by Modelbit (https://modelbit.com), for deploying models in seconds. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.
In this episode you will learn:
• The heuristic and “intermediate” ML models that they develop at Abnormal Security [07:08]
• How Dan uses LLMs at Abnormal Security [15:46]
• How false negatives are individually the biggest classification error to avoid in cybersecurity [20:49]
• How head-to-head competitor analysis helps refine models [34:34]
• Resilient ML in cybersecurity [38:36]
• Abnormal Security’s routine for updating their models [52:37]
• AI's impact on the urban world [1:09:57]
• How to stay updated in data science and AI [1:13:46]
Additional materials: www.superdatascience.com/717 -
716: Happiness and Life-Fulfillment Hacks
Jon Krohn's 94-year-old grandmother, Annie, who's bursting with life and wisdom, shares her recipe to lifelong happiness and how relationships and daily intentions play an integral role. Annie also shares her curious take on modern technology. Get inspired by her infectious joy and perspective on life.
Additional materials: www.superdatascience.com/716
Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information. -
715: Make Better Decisions with Data, with Dr. Allen Downey
Join us as Dr. Allen Downey, renowned author and professor, shares insights from his upcoming book 'Probably Overthinking It,' breaking down underused techniques like Survival Analysis, explaining common paradoxes, and discussing the dynamic Overton Window.
This episode is brought to you by the Zerve data science dev environment (https://zerve.ai), by Modelbit (https://modelbit.com), for deploying models in seconds, and by Grafbase (https://grafbase.com), the unified data layer. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.
In this episode you will learn:
• Why interpreting data is not always easy [06:21]
• What is Survival Analysis [15:32]
• Preston's Paradox [22:09]
• Are you Normal? [36:52]
• How to better prepare for rare “Black Swan” events [42:48]
• What is an Overton Window? [53:06]
• What is the base rate fallacy? [1:23:31]
• How to protect yourself from biased samples [1:33:39]
• Simpson’s Paradox [1:42:43]
Additional materials: www.superdatascience.com/715 -
714: Using A.I. to Overcome Blindness and Thrive as a Data Scientist
In this Friday episode, guest Tim Albiges explores with host Jon Krohn how people with blindness can have a lucrative and fulfilling career in data science, how Tim’s PhD thesis applied machine learning to help diagnose chronic respiratory diseases, and the communication tools that blind people can use to live a full and independent life.
Additional materials: www.superdatascience.com/714
Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information. -
713: Llama 2, Toolformer and BLOOM: Open-Source LLMs with Meta's Dr. Thomas Scialom
Artificial General Intelligence, RLHF’s application in AI, and how entrepreneurs can enter the AI industry: Meta’s AI Research Scientist Thomas Scialom gives us behind-the-scenes insights into developing Llama 2 and what’s in the works for Llama 3. With host Jon Krohn, he discusses the future of Artificial General Intelligence, why the Galactica science-focused LLM was taken down, and what he learned from it.
This episode is brought to you by AWS Inferentia (https://go.aws/3zWS0au), by Grafbase (https://grafbase.com), the unified data layer, and by Modelbit (https://modelbit.com), for deploying models in seconds. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.
In this episode you will learn:
• Llama 2: Behind the Scenes of Today’s Top Open-Source LLM [05:04]
• Responsible use of Llama 2 [15:26]
• Toolformer: LLM That Learns How to Use External Tools [24:57]
• Galactica: The Science-Specific LLM and Why It Was Brought Down [36:57]
• Is AGI Around the Corner? [57:03]
• Advice for AI entrepreneurs [1:05:46]
• How Thomas develops and manages large-scale AI projects [1:14:42]
Additional materials: www.superdatascience.com/713