Super Data Science: ML & AI Podcast with Jon Krohn

Jon Krohn
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May 13, 2022 • 4min

574: Music for Deep Work

Discover top instrumental music recommendations for enhancing focus during deep work sessions, including electronic ambient music albums and a website for creating a continuous deep focus playlist.
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May 10, 2022 • 1h 7min

573: Automating ML Model Deployment

Dr. Doris Xin, CEO of Linea, discusses automating ML model deployment, reducing deployment to Python code, efficiency with DAGs, future of autoML, CEO insights, hiring practices, and data science future. Topics include streamlining deployment process, capturing development workflows, reducing wasted computation, human collaboration in ML, and tools for data scientists.
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May 6, 2022 • 3min

572: Daily Habit #9: Avoiding Messages Until a Set Time Each Day

The podcast discusses the benefits of avoiding messages until a set time each day to enhance productivity. Jon shares his personal experience and the positive impact this habit has on deeply focusing on important daily tasks.
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May 3, 2022 • 58min

571: Collaborative, No-Code Machine Learning

Tim Kraska, Einblick co-founder and MIT associate professor, discusses no-code collaboration tools for data science, including Einblick's progressive approximation engine and the impact of no-code tools on productivity. They also talk about the role of research universities like MIT in supporting long-term research, how ML applied to databases improves efficiency, and the likelihood of real-time collaboration environments becoming more widespread.
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Apr 29, 2022 • 6min

570: DALL-E 2: Stunning Photorealism from Any Text Prompt

Jon, an A.I. model breakthrough expert, discusses OpenAI's DALL-E 2 model, showcasing its ability to generate stunning photorealistic images from text prompts. The model has advanced features like higher resolution, realism, and the ability to accept images as input for tasks like image editing and creating variations of original images.
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Apr 26, 2022 • 45min

569: A.I. For Crushing Humans at Poker and Board Games

Dr. Noam Brown, Meta AI Research Scientist, discusses his award-winning no-limit poker-playing algorithms, game theory integration, real-world AI implications, and choosing big tech research over academia. He explores AI advancements in poker and diplomacy, applying AI techniques to self-driving cars, and recommendations for aspiring poker AI developers.
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Apr 22, 2022 • 5min

568: PaLM: Google's Breakthrough Natural Language Model

Learn about Google's groundbreaking natural language model PaLM, which has half a trillion parameters, excelling in multilingual tasks, question-answering, common-sense reasoning, joke comprehension, and programming questions
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Apr 19, 2022 • 1h 18min

567: Open-Access Publishing

Dr. Amy Brand from MIT Press discusses open-access publishing and addressing STEM inequalities. Topics include impact of MIT Press, publishing for broader audiences, award-winning documentary 'Picture A Scientist,' changing STEM for minorities, open-source models, natural language processing, author metadata, and inclusivity in STEM fields.
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Apr 15, 2022 • 4min

566: The Best Time to Plant a Tree

Reflecting on the Chinese proverb, the podcast challenges listeners to start pursuing their long-term goals now. Emphasizing the importance of taking action in the present, it discusses how small steps today can lead to significant results in the future.
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Apr 12, 2022 • 2h 5min

565: AGI: The Apocalypse Machine

Guest Jeremie Harris discusses AI Safety and risks of AGI, potential for AGI to destroy or benefit humanity, tips on becoming an AI safety expert, insights on his work at Mercurius, differences in Canadian vs American start-up ecosystems, and the importance of mentorship in data science career development.

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