Super Data Science: ML & AI Podcast with Jon Krohn

Jon Krohn
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14 snips
Sep 3, 2024 • 1h 27min

815: Polars: Faster DataFrame Ops, with Marco Gorelli

In this enlightening discussion, Marco Gorelli, a Senior Software Engineer at Quansight Labs and a core developer of the Polars and Narwhals libraries, shares his insights on optimizing data operations. He explains when to use Polars over Pandas and its unique features like lazy evaluation and string optimizations. Marco also delves into the Narwhals library, bridging compatibility with Pandas. He shares his strategies for winning forecasting competitions and addresses the need for greater diversity in data science. Prepare for a deep dive into the future of data manipulation!
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Aug 30, 2024 • 4min

814: Summer Reflections

As summer winds down, this episode shifts focus from the usual tech discussions to something more personal: reflecting on the importance of balancing work with life’s simple pleasures. While the world of data science and AI continues to evolve rapidly, it's essential to remember that true success isn't just about professional milestones. It’s also about cherishing the moments that make life meaningful. Tune in for a brief but impactful reflection on how to redefine success to include not just achievements, but also the everyday joys that often go unnoticed.Additional materials: www.superdatascience.com/814Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.
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Aug 27, 2024 • 1h 44min

813: Solving Business Problems Optimally with Data, with Jerry Yurchisin

Jerry Yurchisin, a mathematical optimization expert from Gurobi, joins the conversation to explore the power of optimization in solving complex business challenges. He discusses engaging examples like the Burrito Optimization Game, explaining its real-world applications. Key differences between machine learning and optimization are highlighted, emphasizing how the latter can provide clear prescriptive solutions. Yurchisin also touches on the integration of large language models in optimization, advancements in GPU technology, and the complexities of NP-hard problems.
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Aug 23, 2024 • 12min

812: The AI Scientist: Towards Fully Automated, Open-Ended Scientific Discovery

In this enlightening discussion, representatives from Sakana AI and experts from the University of Oxford, University of British Columbia, and Vector Institute explore groundbreaking advancements in automated scientific discovery. They introduce the 'AI Scientist,' a revolutionary framework that could transform research processes. The conversation highlights both the immense potential and the ethical quandaries posed by AI in science. Additionally, they address safety concerns surrounding autonomous AI scientists while emphasizing the positive future impact of these technologies.
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13 snips
Aug 20, 2024 • 1h 14min

811: Scaling Data Science Teams Effectively, with Nick Elprin

Nick Elprin, a data science expert and co-founder of Domino Data Lab, shares his insights on scaling data science teams effectively. He discusses the importance of tailored AI solutions, emphasizing that there's no one-size-fits-all approach. The conversation covers when to integrate AI tools into businesses and the significance of community in navigating the complexities of generative AI. Elprin also reflects on his journey in launching a data science startup and the critical role of mathematics in achieving commercial success.
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Aug 16, 2024 • 9min

810: The Five Levels of Self-Driving Cars

Jon Krohn, a knowledgeable expert in automation, dives into the intriguing world of self-driving cars. He explains the five levels of vehicle automation, from Level 0 where humans are in complete control to Level 5, where cars drive themselves in any condition. With firsthand stories from his experiences in autonomous vehicles, Jon captures the excitement and implications of this technology. He breaks down the futuristic possibilities and the current state of advancements, making this a must-listen for tech enthusiasts and curious minds alike.
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Aug 13, 2024 • 1h 10min

809: Agentic AI, with Shingai Manjengwa

Shingai Manjengwa, a representative from ChainML, dives into the transformative realm of Agentic AI. He showcases how these AI agents are streamlining tasks like travel bookings and offering daily inspiration. Shingai discusses the innovative Theoriq protocol and how blockchain technology fosters trust in AI systems. He also highlights the potential of multi-agent systems to tackle complex challenges, and shares insights on the emerging Council Analytics tool that allows users to interact with data in natural language.
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Aug 9, 2024 • 38min

808: In Case You Missed It in July 2024

Guests include Daliana Liu, a leading data science expert, Charles Duhigg, a best-selling author on habits, and emerging talent Andrey Kurenkov. They discuss critical advice for new data scientists, emphasizing soft and hard skills in an AI-driven landscape. The future of model merging in AI is explored, highlighting its efficiency and industry impacts. Conversations around AI's role in podcasting showcase optimism about technology's evolution. Strategies for effective communication, especially in conflict, are unpacked, featuring techniques for enhancing dialogue.
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13 snips
Aug 6, 2024 • 1h 9min

807: Superintelligence and the Six Singularities, with Dr. Daniel Hulme

Dr. Daniel Hulme, a thought leader behind the PESTLE framework, dives into the six distinct types of singularities: political, environmental, social, technological, legal, and economic. He highlights how these singularities could align with human progress. The discussion also touches on the ethical challenges of AI, the importance of decentralization, and how advancements in neuromorphic computing may revolutionize creativity. Hulme encourages a proactive approach to AI governance, emphasizing the balance between technology and human interests.
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4 snips
Aug 2, 2024 • 19min

806: Llama 3.1 405B: The First Open-Source Frontier LLM

Meta's Llama 3.1 model is causing a stir in the AI world with its groundbreaking 405 billion parameters. This open-source AI offers a competitive edge, challenging established giants like GPT-4o. With a remarkable 128,000-token context window and multilingual support, it sets the stage for innovative applications. The focus on responsible AI development, including tools for content moderation, highlights the push towards ethical standards. This move could spark transformative innovations across industries such as healthcare and education.

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