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
Apr 9, 2024 • 1h 8min
773: Deep Reinforcement Learning for Maximizing Profits, with Prof. Barrett Thomas
Join Prof. Barrett Thomas, a research professor, as he delves into Markov decision processes and Deep Reinforcement Learning for optimizing business operations. Topics include same-day delivery innovations, aerial drones in supply chains, and career evolution in operations logistics.
Apr 5, 2024 • 24min
772: In Case You Missed It in March 2024
The podcast discusses Pytorch benefits, funding for AI startups, managing scientific silos. Highlights include insights on Lightning AI's projects, the future of scientific computing, investing in AI startups, and the impact of clinician feedback on organizational cohesion.
Apr 2, 2024 • 1h 55min
771: Gradient Boosting: XGBoost, LightGBM and CatBoost, with Kirill Eremenko
Machine learning expert Kirill Eremenko discusses decision trees, random forests, and the top gradient boosting algorithms: XGBoost, LightGBM, and CatBoost. Topics include advantages of XGBoost, LightGBM efficiency, and CatBoost's handling of categorical variables.
Mar 29, 2024 • 45min
770: The Neuroscientific Guide to Confidence
Neuroscience expert Lucy Antrobus shares confidence-building strategies backed by science, emphasizing practice, positive energy, and laughter. Topics include strengthening confidence like muscles, empowering marginalized groups, promoting joy among refugees, leveraging feel-good chemicals for resilience, and unlocking creativity using 'Artist's Way' techniques.
Mar 26, 2024 • 1h 49min
769: Generative AI for Medicine, with Prof. Zack Lipton
Prof. Zach Lipton, Chief Scientific Officer at Abridge, talks about generative AI for medicine, Abridge's tech stack, cross-pollination of research with ML projects, and how his jazz background shaped his data science journey.
Mar 22, 2024 • 13min
768: Is Claude 3 Better than GPT-4?
ML expert Jon Krohn tests Anthropic's Claude 3 model family, comparing it to GPT-4 and Gemini 1.0 Ultra. Highlights Opus model's power and potential, importance of trying models with own benchmarks. Discussion on language model testing, need for improved evaluation strategies.
11 snips
Mar 19, 2024 • 1h 48min
767: Open-Source LLM Libraries and Techniques, with Dr. Sebastian Raschka
Dr. Sebastian Raschka, Author of Machine Learning Q and AI, talks about PyTorch Lightning, LLM development opportunities, DoRA vs LoRA, and being a successful AI educator in a fascinating discussion with Jon Krohn.
Mar 15, 2024 • 8min
766: Vonnegut's Player Piano (1952): An Eerie Novel on the Current AI Revolution
Delve into the eerie parallels between Kurt Vonnegut's 'Player Piano' and today's AI challenges, exploring themes of societal marginalization, automation impact on society, and ethical considerations. Reflect on the timeless relevance of Vonnegut's work to the current AI era.
Mar 12, 2024 • 1h 37min
765: NumPy, SciPy and the Economics of Open-Source, with Dr. Travis Oliphant
Dr. Travis Oliphant, creator of NumPy and SciPy, discusses the origins and future of these Python libraries, Anaconda's start, Numba's market entry, Python's impact on scientists, commercial projects supporting open-source efforts, and the future of scientific computing and Python libraries.
Mar 8, 2024 • 8min
764: The Top 10 Episodes of 2023
The top 10 most popular episodes of 2023 cover data science futurists, using open-source tools for NLP, machine learning fundamentals, AGI advancements, and applying data science for good. Hosted by Jon Krohn, this podcast offers a great snapshot of industry insights and trends.
