I’ve been listening to some fantastic data science and machine learning podcasts recently, and I’d love to share my favorites with you.
🌟 My Top Picks:
These are podcasts that are the most relevant to me and my work in MLOps. They are updated regularly and always have great content!
- The Super Data Science Podcast - Hosted by Jon Krohn, this podcast covers a wide range of topics in data science, featuring interviews with industry experts and discussions on the latest trends and tools. (Fun fact, I recently met Jon at a conference and got a copy of his book Deep Learning Illustrated)
- Practical AI - Chris Benson and Daniel Whitenack delve into the practical aspects of AI and ML, discussing real-world applications, tools, and techniques that make AI more accessible and impactful.
- The MLOps Podcast - Demetrios Brinkmann and Vishnu Rachakonda explore the world of Machine Learning Operations, featuring interviews with experts and covering topics like deployment, monitoring, and scaling of ML models.
📣 Other Notable Podcasts:
- Data Skeptic - Kyle Polich takes a skeptical approach to data science and machine learning, examining popular topics and techniques through interviews with experts and mini-episodes on core concepts.
- DataFramed - Hosted by Adel Nehme and Richie Cotton, DataFramed dives into data science topics, featuring interviews with influential data scientists and thought leaders from various industries.
- Lex Fridman Podcast - Lex Fridman sometimes interviews top minds in AI, deep learning, and robotics, discussing cutting-edge research, the future of AI, and the ethical considerations surrounding the technology.
I hope you find these podcasts as insightful and engaging as I do. Happy listening! 🎧