THIS IS A TEST INSTANCE. ALL YOUR CHANGES WILL BE LOST!!!!
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- relational algebra
- linear algebra
- differential programming
- probabilistic programming
- computational graphs
- differential dataflow
- functional programming
- lazy evaluation
- monadic comprehensions
- etc
- etc
Why "deep"
- In terms of algos we have deep learning, ofc.
- But also in terms of "data fabric" we need to handle multi-dimensional, heterogeneous, business rich meaning data and abstractions over data.
- relational data - need #RelationalAlgebra
- arrays / matrices / tensors - need #LinearAlgebra
- graph data - need graph representations and algos (https://www.slideshare.net/oracle4engineer/using-graphs-for-data-analysis)
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