I recently had the pleasure of being a guest on a machine learning podcast called Undersampled Radio, and it was a blast! Hosted by Gram Ganssle and Matt Hall, the podcast delved into various topics surrounding the intersection of machine learning and the geosciences, with a particular focus on the oil and gas industry, where I work at Novi Labs.
During the episode, we covered a range of intriguing subjects:
- Introduction: Getting to know each other and setting the stage for the conversation.
- Austin Deep Learning: Exploring the machine learning scene in Austin, Texas, where the podcast is based.
- Overview of Novi Labs: Discussing the role of Novi Labs in leveraging machine learning for the oil and gas sector.
- Predicting Oil and Gas Production: Delving into the complexities and challenges of predicting production in the oil and gas industry using machine learning techniques.
- Do we need experts?: Considering the role of domain expertise in conjunction with machine learning algorithms.
- AI vs Physics Models: Comparing the strengths and weaknesses of artificial intelligence models with traditional physics-based models.
- Karpatne paper: Machine Learning for the Geosciences: Reflecting on the insights and implications of the Karpatne paper regarding the application of machine learning in geosciences.
- Answering scientific questions with machine learning: Exploring how machine learning can contribute to answering fundamental scientific questions in geosciences.
- What to study in school for machine learning: Offering advice for individuals interested in pursuing a career in machine learning, particularly in the geosciences field.
- Puzzle: Engaging in a thought-provoking puzzle or challenge.
- What we’re currently reading: Sharing recommendations for interesting books or articles related to machine learning and geosciences.
Overall, it was an enriching and enjoyable experience, and I’m grateful to the hosts for their hospitality and thought-provoking questions. If you’re interested in exploring the fascinating world of machine learning in the geosciences, I highly recommend giving Undersampled Radio a listen!