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
Jun 18, 2024 • 1h 33min
793: Bayesian Methods and Applications, with Alexandre Andorra
Alexandre Andorra, Co-founder of PyMC Labs, joins Jon Krohn to discuss Bayesian methods, PyMC, PyStan, NumPyro, ArviZ, and Gaussian Processes. They cover practical Bayesian statistics, epistemology, consulting services, post-modeling diagnostics, and visualization. Learn about Bayesian modeling, hierarchical modeling, and Gaussian Processes in data analysis, as well as book recommendations and stoic philosophy.
Jun 14, 2024 • 23min
792: In Case You Missed It in May 2024
Navdeep Martin leads a company tackling the climate crisis. Sol Rashidi and Demetrios Brinkmann stress the importance of job titles in fast-paced tech industries. Luis Serrano shares the latest insights on embeddings.
15 snips
Jun 11, 2024 • 57min
791: Reinforcement Learning from Human Feedback (RLHF), with Dr. Nathan Lambert
Dr. Nathan Lambert discusses reinforcement learning from human feedback's origins and challenges, fine-tuning language models, aligning reward models with human preferences, and the mystical aspects of AI. Topics include open AI, direct preference optimization, robotics, behavioral AI, and AI's resemblance to alchemy.
Jun 7, 2024 • 7min
790: Open-Source Libraries for Data Science at the New York R Conference
Data science trailblazers Drew Conway, Jared Lander, Emily Zabor, and JD Long share their favorite R libraries at the New York R Conference. Topics include iGraph for transitioning to full-time R programming, Segway package benefits, Snake Make vs. Targets for data cleaning, and intuitive open-source libraries for non-coders.
Jun 4, 2024 • 1h 15min
789: ML for Wind-Powered Energy Generation, with Dr. Jason Yosinski
Dr. Jason Yosinski, CEO of Windscape AI, discusses ML advancements for wind energy, startup ideas, extreme event forecasting, and traits of successful AI entrepreneurs. Topics include data utilization from wind turbines, neural network visualization, loss change allocation research, and engaging with Jason's ML Collective.
May 31, 2024 • 10min
788: Multi-Agent Systems: How Teams of LLMs Excel at Complex Tasks
Explore how multi-agent systems like GPT-40 and Project Astra are revolutionizing AI collaboration, with the ability to tackle complex tasks, improve problem-solving, and provide real-time assistance. Learn about the benefits, challenges, and risks of this cutting-edge technology.
May 28, 2024 • 56min
787: MLOps: The Job and The Key Tools, with Demetrios Brinkmann
Demetrios Brinkmann, an MLOps expert, shares insights on MLOps, LLMOps, and DevOps. He discusses developing an online MLOps community, using third-party APIs, and building online communities. The episode also covers tools like LlamaIndex and Ollama for scaling LLMs, as well as guidance on data pipeline engineering using Kubernetes and YAML files.
May 24, 2024 • 27min
786: The Six Keys to Data Scientists' Success, with Kirill Eremenko
Kirill Eremenko, CEO of Super Data Science, shares six key insights on data science careers, emphasizing practical skills, strong portfolios, mentorship, and collaboration. He discusses the importance of incorporating machine learning into web apps for enhancing employability and highlights the diverse backgrounds of remote-working data scientists.
5 snips
May 21, 2024 • 1h 6min
785: Math, Quantum ML and Language Embeddings, with Dr. Luis Serrano
Dr. Luis Serrano discusses making Math & Quantum ML accessible, teaching AI to beginners, & the power of embeddings. Topics include easy math understanding, learner categories, importance of embeddings, semantic search, exciting AI applications, & Quantum ML.
May 17, 2024 • 10min
784: Aligning Large Language Models, with Sinan Ozdemir
Sinan Ozdemir explores the challenges in aligning Large Language Models to have conversations and learn from each other. Topics include limitations of LLM definitions, training LLMs, and the possibility of training an LLM without alignment.
