Super Data Science: ML & AI Podcast with Jon Krohn

Jon Krohn
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Feb 17, 2023 • 45min

654: Mike Wimmer: The 14-Year-Old A.I. Entrepreneur

Meet 14-year-old AI prodigy Mike Wimmer as he shares his projects, from conserving coral reefs with AI to launching an IOT-based company. Discussions include completing a computer science degree, creating AI tech for safety, targeting invasive lionfish with AI, founding AI entrepreneurship and IoT companies, using Python and MERN stack for programming, and envisioning the future impact of technology on human life.
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Feb 14, 2023 • 57min

653: Efficiently Glean-ing Insights from Vast Data Warehouses

Carlos Aguilar, Founder and CEO of Glean, shares insights on data exploration. Topics include actionable insights extraction, Glean's unique platform, software stack, fundraising journey, founding team characteristics, founding Glean, and creating a robotic painter.
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Feb 10, 2023 • 6min

652: A.I. Speech for the Speechless

Discover cutting-edge AI technology that enables mechanically ventilated patients to communicate through lip movements. Learn about the practical application of AI in visual speech recognition for ICU patients, with collaborations and deep learning resources.
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Feb 7, 2023 • 1h 17min

651: The Intentional Use of Color in Data Communication

Data visualization expert Kate Strachnyi discusses the intentional use of color in data communication with host Jon Krohn. They cover topics like color inclusivity, tips for color selection in data visuals, respecting cultural nuances, and the best tools for data visualization.
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Feb 3, 2023 • 8min

650: SparseGPT: Remove 100 Billion Parameters but Retain 100% Accuracy

Jon Krohn discusses SparseGPT, a pruning technique for large language models like GPT-3. It can reduce model size by up to 90% without sacrificing accuracy, leading to cost savings. The episode also mentions an upcoming NLP conference and a free access deal for O'Reilly platform.
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Jan 31, 2023 • 1h 22min

649: Introduction to Machine Learning

Data science instructors Kirill Eremenko and Hadelin de Ponteve discuss essential ML concepts like logistic regression, feature scaling, and the Elbow Method. They introduce their new course and cover supervised vs unsupervised learning, false positives/negatives, and linear regression assumptions.
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Jan 27, 2023 • 10min

648: VALL-E: Uncannily Realistic Voice Imitation from a 3-Second Clip

Microsoft introduces VALL-E, a text-to-speech tool mimicking human voices with 3-second samples. Discussion on generative AI, ethics, and model training using hybrid ML approach. Potential misuse for deceptive purposes highlighted.
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Jan 24, 2023 • 1h 37min

647: Is Data Science Still Sexy?

Tom Davenport discusses AI adoption obstacles and job automation with Jon Krohn. Topics include cognitive bias in AI understanding, jobs at risk of automation, and the potential of citizen science. They also explore AI's impact on the C-suite and regulatory actions by OpenAI.
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Jan 20, 2023 • 34min

646: ChatGPT: How to Extract Commercial Value Today

E-commerce entrepreneur Zack Weinberg discusses the practical applications of ChatGPT in generating commercial value. Topics include leveraging AI tools like ChatGPT in e-commerce, benefits of using ChatGPT for customer service automation and content generation, guardrails and potential of ChatGPT for various applications, and unlocking its potential for career advancement and business growth.
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Jan 17, 2023 • 1h 15min

645: Machine Learning for Video Games

Carly Taylor, Lead ML Engineer at Activision, discusses low-latency in gaming, the future of gaming, and transitioning into data science. Topics include cybersecurity, the Metaverse, favorite software packages, and filing patents.

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