In this video, we cover the data stack from how data is stored and versioned to how it is processed and annotated.
00:00 Key points
01:18 Sources of data: filesystems, latency numbers, object stores, databases, data warehouses
10:48 Exploring data
12:08 Processing data
15:50 Feature stores
17:17 Summary of best practices and some sample datasets
20:31 Self-supervised learning and data labeling
29:52 Data versioning
Detailed notes and slides: https://fullstackdeeplearning.com/cou...
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