

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

6 snips
Jul 23, 2024 • 1h 55min
803: How to Thrive in Your (Data Science) Career, with Daliana Liu
Data science guru Daliana Liu shares career advice: overcoming challenges, building resilience, developing skills, and future of AI job market. Discussions on career transitions, networking, imposter syndrome, and personal growth. Emphasis on soft skills, relationship-building, and leveraging generative AI for business use cases.

Jul 19, 2024 • 24min
802: In Case You Missed It in June 2024
Topics include strategies for attracting investors to AI startups, challenges faced in introducing AI to energy utilities, evolution of AI regulations and frameworks, exploration of Bayesian statistics and Markov Chain Monte Carlo in PyMC, and implications of model fragility and safety in AI systems.

8 snips
Jul 16, 2024 • 1h 17min
801: Merged LLMs Are Smaller And More Capable, with Arcee AI's Mark McQuade and Charles Goddard
Mark McQuade and Charles Goddard from Arcee AI discuss merging LLMs efficiently, using MergeKit and evolutionary algorithms. They explore commercial applications, compare MoE vs. MoA, and highlight the advantages of smaller language models. The podcast also covers the Spectrum Project for efficient training and the future of SLMs.

Jul 12, 2024 • 44min
800: A Transformative Century of Technological Progress, with Annie P.
In this enlightening conversation, Annie P., a 94-year-old marvel, shares her vivid memories of life before electricity and running water, growing up in 1940s Ukraine. She reminisces about enduring hot summers without air conditioning and the challenges of rural living. Annie highlights the evolution of farming, communication, and home safety, showcasing how these advancements transformed daily life. Her reflections connect personal anecdotes to today's global issues, emphasizing resilience and hope amid technological progress.

Jul 9, 2024 • 1h 46min
799: AGI Could Be Near: Dystopian and Utopian Implications, with Dr. Andrey Kurenkov
Dr. Andrey Kurenkov, an AGI enthusiast, discusses his transition from skeptic to positivist, Astrocade allowing gamers to create games with generative AI, creative possibilities of LLMs, and the rapid emergence of AGI.

Jul 5, 2024 • 15min
798: Claude 3.5 Sonnet: Frontier Capabilities & Slick New "Artifacts" UI
Claude 3.5 Sonnet, a new AI model, outperforms Claude 3 Opus in code generation and document summarization. It excels in benchmarks like MMLU and HumanEval. The new Artifacts UI feature displays outputs alongside inputs, making content management easier.

Jul 2, 2024 • 1h 10min
797: Deep Learning Classics and Trends, with Dr. Rosanne Liu
Dr. Rosanne Liu, Research Scientist at Google DeepMind, shares her journey in democratizing AI research and her work on intrinsic dimensions in deep learning. They discuss character-aware text encoding, curiosity-driven vs. goal-driven research, and the importance of diversity in the ML community.

Jun 28, 2024 • 43min
796: Earth's Coming Population Collapse and How AI Can Help, with Simon Kuestenmacher
Simon Kuestenmacher discusses the significance of demography, global population trends, challenges of the War on Drugs, AI's role in addressing population collapse, impacts of technology on generations, and demographic predictions for the future in a positive outlook.

Jun 25, 2024 • 1h 8min
795: Fast-Evolving Data and AI Regulatory Frameworks, with Dr. Gina Guillaume-Joseph
Dr. Gina Guillaume-Joseph discusses evolving data and AI regulatory frameworks, including the AI Bill of Rights and MITRE ATLAS. Topics include responsible AI, US vs EU regulations, federal government involvement, and the NIST AI Risk Framework. The conversation emphasizes collaboration for ethical AI development and the importance of global coordination in crafting universal policies.

Jun 21, 2024 • 11min
794: Exciting (and Frightening!) Trends in Open-Source AI
Host Jon Krohn and data science experts discuss exciting trends in open-source AI including advancements in transformer and GPT technology, the potential and concerns of AI in healthcare and creativity, and reflections on the past and future of technology.


