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
Sep 30, 2022 • 34min
614: Thriving on Information Overload
Ross Dawson, world-leading futurist, shares insights on coping with information overload in data science. He highlights five powers: purpose, framing, filtering, attention, and synthesis. The discussion focuses on developing effective information processing skills and mastering synthesis to combat overload and enhance decision-making.
Sep 27, 2022 • 1h 12min
613: Causal Machine Learning
Dr. Emre Kiciman from Microsoft Research discusses causal machine learning vs correlational, his DoWhy library, key inference steps, future of AGI, leveraging social media for social issues, recommended software tools, hiring criteria for researchers.
Sep 23, 2022 • 3min
612: More Guests on Fridays
The podcast announces longer Friday episodes with new guests covering topics like emerging technologies, career advice, and life philosophies
Sep 20, 2022 • 1h 31min
611: Open-Ended A.I.: Practical Applications for Humans and Machines
Dr. Ken Stanley, a leading expert on Open-Ended AI, discusses the Objective Paradox, Novelty Search, and the future of AI. The conversation explores the dangers and potential of Open-Ended AI, emphasizing the balance between safety and creativity in AI systems. Practical applications of Open-Ended AI in human decision-making are also highlighted, showcasing the benefits of following immediate interests over rigid objectives.
Sep 16, 2022 • 6min
610: Who Dares Wins
Exploring the life philosophy of 'Who Dares Wins' emphasizes the importance of taking risks and embracing challenges for personal growth and unexpected triumphs. Daring actions can lead to valuable learning experiences and unforeseen accomplishments.
Sep 13, 2022 • 51min
609: Data Mesh
Zhamak Dehghani, the empathetic technologist behind 'data mesh', discusses its significance, challenges, and connection to Web3. They explore autonomy, decentralized data handling, and the futuristic shift in data architectures.
Sep 9, 2022 • 4min
608: Daily Habit #11: Assigning Deliverables
Learn how to make company meetings more productive and positive by following a five-step method for assigning clear action items. Discover tips for task breakdown, individual assignment, setting due dates, and structured follow-ups to improve efficiency in business meetings.
Sep 6, 2022 • 1h 13min
607: Inferring Causality
Professor Jennifer Hill from NYU discusses causality, correlation vs. causation, counterfactuals, Bayesian and ML tools for causal inferences, and a new GUI for causal inferences. Tips on learning more about causal inference, the usefulness of multilevel models, and clarifying assumptions when inferring causality from data are also covered.
Sep 2, 2022 • 6min
606: Four Thousand Weeks
Exploring time, productivity, and life balance, the podcast delves into strategies for maximizing efficiency without falling into a cycle of endless work. The speaker shares insights on balancing productivity with relaxation and embracing life's limitations for better time management and enjoyment.
Aug 30, 2022 • 59min
605: Upskilling in Data Science and Machine Learning
Kian Katanforoosh, CEO of Workera and Lecturer at Stanford University, talks about skills intelligence platforms, mentorship, machine learning applications, framework selection, hiring criteria, and his passion for EdTech in a wide-ranging discussion with Jon Krohn.
