

Super Data Science: ML & AI Podcast with Jon Krohn
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.
Episodes
Mentioned books

Aug 11, 2023 • 5min
704: Jon’s “Generative A.I. with LLMs” Hands-on Training
Jon Krohn, expert in Large Language Models, shares a comprehensive training on Generative AI including hands-on code demos, transformer architectures, training and deploying LLMs, deriving commercial value, and future applications of AI in a structured learning experience

Aug 8, 2023 • 1h 9min
703: How Data Happened: A History, with Columbia Prof. Chris Wiggins
Columbia Prof. Chris Wiggins discusses data's power dynamics, biology's transformation with data, and the New York Times data science team's innovative tech stack. Topics include humanities in data science, rearranging power through data, Bayes theorem controversy, data ethics, biology adapting to data science, and the NYT tech stack.

Aug 4, 2023 • 11min
702: Llama 2 — It's Time to Upgrade your Open-Source LLM
Jon Krohn discusses Meta's newly released open-source large language model, Llama 2, highlighting its commercial prospects, immense capacity, model variety, and unique 'time awareness' feature. He also delves into its two-stage RLHF approach that enhances performance.

Aug 1, 2023 • 1h 21min
701: Generative A.I. without the Privacy Risks (with Prof. Raluca Ada Popa)
Renowned computer scientist Prof. Raluca Ada Popa shares insights on securely interacting with AI APIs, safeguarding data while using commercial LLMs like GPT-4, open vs closed-source AI development, running compute pipelines across clouds, entrepreneurship, and the importance of confidentiality in AI research.

Jul 28, 2023 • 5min
700: "The Dream of Life" by Alan Watts
Exploring Hindu mythology through Alan Watts' 'The Dream of Life' discussing existence, reality, and the nature of God. Delve into life as a dream within infinite possibilities and empowering self-improvement.

Jul 25, 2023 • 51min
699: The Modern Data Stack, with Harry Glaser
Guest Harry Glaser and host Jon Krohn delve into the modern data stack, automating ML model deployment, and widening access to data analysis. They discuss tools like Snowflake and Redshift, CI/CD practices, and the importance of monitoring models with BI tools like Looker and Tableau.

Jul 21, 2023 • 28min
698: How Firms Can Actually Adopt A.I., with Rehgan Avon
Rehgan Avon discusses the necessity of AI in businesses and steps to implement it company-wide. Topics include data-driven beer brewing, evolution of AI adoption, barriers faced by small organizations, and importance of AI education within companies.

Jul 18, 2023 • 1h 27min
697: The (Short) Path to Artificial General Intelligence, with Dr. Ben Goertzel
Dr. Ben Goertzel, AI visionary and CEO of SingularityNET, discusses the realization of AGI within 3-7 years, its connection to ASI, and benefits for humankind. Topics include decentralized AGI, SingularityNET ecosystem, neuro-symbolic systems, ensuring benevolence, ethical AI behavior, and societal transformations.

Jul 14, 2023 • 1h 3min
696: Brain-Computer Interfaces and Neural Decoding, with Prof. Bob Knight
Prof. Bob Knight discusses brain implants, machine learning in Parkinson's, and future advancements in brain-computer interfaces and neural decoding. Topics include brain regions, intracranial recordings for epilepsy, attention tasks analysis, amygdala responses, and neuroprosthetics.

Jul 11, 2023 • 1h 38min
695: NLP with Transformers, feat. Hugging Face's Lewis Tunstall
Lewis Tunstall, Hugging Face's ML Engineer, delves into transformers in NLP, encoder-decoder structures, Hugging Face's role, democratizing ML models, and the importance of understanding transformers' inner workings. They explore the evolution of transformers in NLP, limitations of decoder models, AI companionship, deploying ML models, GPT-4 development, Hugging Face ecosystem, and balancing secrecy vs transparency in AI development.


