533: Fusion Energy, Cancer Proteomics, and Massive-Scale Machine Vision — with Dr. Brett Tully
Super Data Science: ML & AI Podcast with Jon Krohn
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Data Processing and Geospatial Analysis with Machine Learning
The chapter explores post-processing techniques for data cleaning, the transition from raster to vector data for compression, and the application of machine learning algorithms in geospatial analysis. It discusses detecting objects like roofs and solar panels using satellite imagery, generating data products for industries, and automating tasks like tree counting in urban environments. The conversation also covers scaling machine-driven approaches for fine-grained results, tracking objects on a massive scale, and reframing MLOps for efficient application architecture in geospatial intelligence.
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Transcript
