Super Data Science: ML & AI Podcast with Jon Krohn
Jon Krohn
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.
Episodes
Mentioned books
Nov 24, 2023 • 17min
734: Humanoid Robot Soccer, with the Dutch RoboCup Team
Guest Dário Catarrinho, Secretary of the Dutch Nao Team and an AI student, discusses the intricate machine learning enabling humanoid robots to compete in soccer. Topics include real-time decision-making, sound response, strategy, and future goals of defeating human World Cup champions by 2050.
Nov 21, 2023 • 1h 40min
733: OpenAssistant: The Open-Source ChatGPT Alternative, with Dr. Yannic Kilcher
Join Dr. Yannic Kilcher, a leading ML YouTuber and DeepJudge CTO, as he discusses OpenAssistant project, open-source vs closed-source challenges, alternative formulas for LLMs, adversarial examples in ML, future AI prospects, and startup challenges with Jon Krohn. Unpack the impact of open-source ML projects, the influence on tech industry dynamics, and the importance of mathematics in AI. Dive into legal tech applications, enhancing semantic search technology, and advancements in open-source LLM technology. Learn about diversifying information sources, exploring AI models, and navigating challenges in AI startup environments.
Nov 17, 2023 • 44min
732: Data Science for Astronomy, with Dr. Daniela Huppenkothen
Dr. Daniela Huppenkothen discusses data science in astronomy, telescope instrumentation, and analyzing outer space data. Topics include solar flares, fast radio bursts, gravitational waves, machine learning applications, and various types of astronomical data.
Nov 14, 2023 • 1h 29min
731: A.I. Agents Will Develop Their Own Distinct Culture, with Nell Watson
Ethics and machine intelligence pioneer Nell Watson discusses AI ethics vs. AI safety, potential AI enlightenment era, importance of international ethics standards, and building a universal basic income with AI. She explores AI's impact on culture, emotional relationships with AI, and how AI can revolutionize entertainment experiences.
Nov 10, 2023 • 19min
730: How GitHub Operationalizes AI for Teamwide Collaboration and Productivity
Kyle Daigle, COO of GitHub, discusses GitHub Copilot's transformative impact on software development, collaboration, and code reviews. They explore the benefits of AI tools like Copilot for legacy code, inner sourcing, and teamwide productivity at GitHub.
Nov 7, 2023 • 1h 46min
729: Universal Principles of Intelligence (Across Humans and Machines), with Prof. Blake Richards
Prof. Blake Richards discusses AI and human cognition, evaluating progress in AGI and fears surrounding AI. Strategies to ensure AI supports human flourishing, interpreting neuroscience data through ML, and the role of backpropagation in the brain are explored.
Nov 3, 2023 • 6min
728: Use Contrastive Search to get Human-Quality LLM Outputs
Expert Jon Krohn discusses contrastive search as a key method to achieve human-like outputs from LLMs. Contrasts greedy search, beam search, and sampling for generating text. Learn how to enhance the quality of LLM-generated content through contrastive search.
Oct 31, 2023 • 1h 45min
727: Unmasking A.I. Injustice, with Dr. Joy Buolamwini
Dr. Joy Buolamwini, Founder of the Algorithmic Justice League, discusses coded bias, intersectionality in AI, tackling racial, age, and gender prejudices in machine learning, the Incoding Movement, the Pilot Parliaments Benchmark, ethics and the future of AI, and potential for AI to combat systemic racism.
Oct 27, 2023 • 33min
726: Seven Factors for Successful Data Leadership
Ben Jones, CEO of Data Literacy, delves into the seven factors of successful data leadership, emphasizing ethics, quality, technology, and culture. He uses real examples like Amazon's bias in ML for effective data strategies. Importance of ethics, fostering data culture, and practical tips on pitching podcast ideas are discussed.
Oct 24, 2023 • 1h 59min
725: Neuroscience + Machine Learning, with Google DeepMind's Dr. Kim Stachenfeld
Dr. Kim Stachenfeld from Google DeepMind and Columbia University discusses AI & neuroscience, simulations in human intelligence, memory formation in the hippocampus, reinforcement learning, compression in representation learning, and the potential of AGI. The podcast delves into the cross-disciplinary potential of language models and the importance of mastering mathematical basics for data science.
