Super Data Science: ML & AI Podcast with Jon Krohn

Jon Krohn
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Jan 13, 2023 • 17min

644: A Framework for Big Life Decisions

Myra Strober from Stanford University discusses the intertwining relationship between love and money with Jon Krohn. They explore making big life decisions by considering financial factors, openly addressing money in relationships, and using a framework for decision-making with communication and consequences in mind.
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Jan 10, 2023 • 1h 21min

643: A.I. for Medicine

Chief Scientist Charlotte Deane discusses AI applications in predicting protein structures, personalized medicine acceleration, and machine learning in healthcare. They explore antibody formation, immune system roles, and advancements in drug development with AI. The conversation delves into leveraging AI for faster drug discovery and managing COVID-19 outbreaks using data analytics.
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Jan 6, 2023 • 3min

642: Continuous Calendar for 2023

Data science expert Jon Krohn introduces a continuous calendar system for 2023, emphasizing enhanced planning and productivity. Discover the benefits of breaking away from traditional date cutoffs and embracing a holistic view of time for improved organization.
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Jan 3, 2023 • 1h 32min

641: Data Science Trends for 2023

Data science expert Sadie St. Lawrence joins Jon Krohn to discuss the top trends of 2023 in AI. From data as a product to multimodal models and the data mesh, the episode explores predictions for privacy, environmental sustainability, and AI trust. Get ready for a glimpse into the future of data science!
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Dec 30, 2022 • 37min

640: What I Learned in 2022

The podcast covers AI trends, the joy of working in-person, reflections on achievements in 2022, and insights on achieving better work-life balance. The host shares gratitude, personal stories about service and connection, inspiring listeners to focus on serving others.
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Dec 27, 2022 • 1h 41min

639: Simplifying Machine Learning

Mariya Sha, expert in simplifying ML & Python, talks about Python for beginners, AI applications, broadcasting software, productivity hacking, ethical web scraping, favorite Python libraries, NLP future, and software tools. Exploring transitioning from web dev to Python, mastering automation, AI potential in various industries, Neuralink applications and concerns, mathematics in data science, Python GUIs, game development, web scraping for productivity, PyTorch vs TensorFlow, reinforcement learning, and content creation skills.
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Dec 23, 2022 • 4min

638: ChatGPT Holiday Greeting

ChatGPT generates a festive holiday greeting for the Super Data Science podcast host, discussing advancements in data science, machine learning, and artificial intelligence of the past year and looking forward to future innovations.
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Dec 20, 2022 • 1h 8min

637: How to Influence Others with Your Data

Data visualization designer Ann K. Emery shares insights on data storytelling, best practices, surprising spreadsheet tricks, effective reporting, and slideshow tips. Learn about transforming data into actionable insights, challenges of data collection, strategies for influencing others with data, dashboard creation tips, and simplifying visualizations. Practical tips for data storytelling and visualization are also discussed.
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Dec 16, 2022 • 22min

636: The Equality Machine

Law professor Orly Lobel discusses her book 'The Equality Machine' with SDS host Jon Krohn, exploring the future of AI, data bias, and digital literacy. They delve into empowering AI for social good, addressing historical biases in ML models, and the concept of the 'equality machine' to combat algorithmic bias and surveillance capitalism.
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41 snips
Dec 13, 2022 • 1h 19min

635: The Perils of Manually Labeling Data for Machine Learning Models

Shayan Mohanty, CEO of Watchful, discusses the perils of manually labeling data for ML models with Jon Krohn. Topics include information bias, Chomsky hierarchy, simulation engines, and misconceptions about hand-labeled data. Learn about solutions to bias, the importance of automation in labeling, and the characteristics sought in new hires.

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