Super Data Science: ML & AI Podcast with Jon Krohn Jon Krohn
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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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769: Generative AI for Medicine, with Prof. Zack Lipton
Generative AI in medicine takes center stage as Prof. Zachary Lipton, Chief Scientific Officer at Abridge, joins host Jon Krohn to discuss the significant advancements in AI that are reshaping healthcare.
This episode is brought to you by the DataConnect Conference (https://www.dataconnectconf.com/dccwest/conference), and by Data Universe, the out-of-this-world data conference (https://datauniverse2024.com). Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.
In this episode you will learn:
• The inspiration for Zack to get started in ML and healthcare [03:56]
• The hardware required to use Abridge [12:29]
• The key data science projects at Abridge right now [35:05]
• Abridge's tech stack [59:54]
• How Abridge ensures reliability in a high-stakes setting like healthcare [1:07:29]
• How Zack’s academic research cross-pollinates with his commercial ML projects [1:21:05]
• How Zack’s jazz background molded his entrepreneur and data science journey [1:30:32]
Additional materials: www.superdatascience.com/769 -
768: Is Claude 3 Better than GPT-4?
Claude 3, LLMs and testing ML performance: Jon Krohn tests out Anthropic’s new model family, Claude 3, which includes the Haiku, Sonnet and Opus models (written in order of their performance power, from least to greatest). Can it stand shoulder to shoulder with other models such as GPT-4 and Gemini 1.0 Ultra? And how important is it for machine learning practitioners to try out these models with their own benchmarks? Jon walks listeners through a test of his own in this Five-Minute Friday.
Additional materials: www.superdatascience.com/768
Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information. -
767: Open-Source LLM Libraries and Techniques, with Dr. Sebastian Raschka
Jon Krohn sits down with Sebastian Raschka to discuss his latest book, Machine Learning Q and AI, the open-source libraries developed by Lightning AI, how to exploit the greatest opportunities for LLM development, and what’s on the horizon for LLMs.
This episode is brought to you by the DataConnect Conference (https://www.dataconnectconf.com/dccwest/conference), and by Data Universe, the out-of-this-world data conference (https://datauniverse2024.com). Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.
In this episode you will learn:
• All about Machine Learning Q and AI [04:13]
• Sebastian Raschka’s role as Staff Research Engineer at Lightning AI [19:21]
• PyTorch Lightning’s and Lightning Fabric’s capabilities [39:32]
• Large language models: Opportunities and challenges [43:35]
• DoRA vs LoRA [48:56]
• How to be a successful AI educator [1:34:18]
Additional materials: www.superdatascience.com/767 -
766: Vonnegut's Player Piano (1952): An Eerie Novel on the Current AI Revolution
Kurt Vonnegut's "Player Piano" delivers striking parallels between its dystopian vision and today's AI challenges. This week, Jon Krohn explores the novel's depiction of a world where humans are marginalized by machines, reflecting on the impact of automation on society and the ethical considerations it raises. Tune in as we unpack the timeless relevance of Vonnegut's work to the AI era.
Additional materials: www.superdatascience.com/766
Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information. -
765: NumPy, SciPy and the Economics of Open-Source, with Dr. Travis Oliphant
Explore the origins of NumPy and SciPy with their creator, Dr. Travis Oliphant. Discover the journey from personal need to global impact, the challenges overcome, and the future of these essential Python libraries in scientific computing and data science.
This episode is brought to you by the DataConnect Conference (https://www.dataconnectconf.com/dccwest/conference), by Data Universe, the out-of-this-world data conference (https://datauniverse2024.com), and by CloudWolf (https://www.cloudwolf.com/sds), the Cloud Skills platform. Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.
In this episode you will learn:
• Travis's journey to creating NumPy and SciPy [08:05]
• How Anaconda got started [42:24]
• How Numba, a high-performance Python compiler, was brought to market [54:48]
• Python's influence on the thought processes of scientists and engineers [1:04:21]
• The commercial projects that support Travis’s vast open-source efforts and communities [1:10:22]
• How to get involved in Travis's commercial projects and communities [1:22:34]
• The future of scientific computing and Python libraries [1:29:50]
Additional materials: www.superdatascience.com/765 -
764: The Top 10 Episodes of 2023
Data science futurists, bestselling authors, and lively how-to guides from the industry’s top practitioners, which range from applying data science for good to using open-source tools for NLP: This is The Super Data Science Podcast’s top ten most listened-to episodes in 2023, hosted by Jon Krohn. A great snapshot of our great content from 2023.
Additional materials: www.superdatascience.com/764
Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.
Customer Reviews
Hooked, by gawd
I’ve only listened to episodes 747 and 759 so far, but I’ve already come away with a much better understanding of what transformers do. This pod has hooked me hard, and I’m delighted that there’s SO much more to listen to - and learn from. I’ll be a while playing catch-up - but keep it coming… and thanks!
Wonderful Resource for the Beginner Data Rocker
As someone who's trying to land their first data science/analyst role, this podcast has been critical in my development. Thank you so much for the thoughtfulness and depth of each episode. Keep rocking!
Always on point
It’s obvious that Jon produces this show with care. I love that he asks all the questions that I’m thinking about. High quality show!