Mathematics for Machine Learning¶
Deisenroth, M. P., Faisal, A. A., & Ong, C. S. (2020). Mathematics for Machine Learning. Cambridge University Press.
Cited by¶
2 citations across 2 artifacts.
Each citation links to the sentence it supports in the citing article.
Domain-specific¶
- Cumulative distribution function
- Euclidean Space
- Conversely, the same vector space can carry different positive-definite inner products; a change in metric geometry is not merely a relabeling of coordinates.
This sourceCovers inner products, norms, orthogonality, projections, and analytic geometry in computational models.
- Conversely, the same vector space can carry different positive-definite inner products; a change in metric geometry is not merely a relabeling of coordinates.
Verification¶
Does it exist? Confirmed. This work's DOI resolves to a registered record, which fixes its identity. That is all it fixes.
Does it back the claim? Not recorded. Neither this nor any other of the 2 citations of this work carries a recorded support check.
Support is checked per citation rather than per work — the same source can be cited soundly in one article and wrongly in another. Per-citation recording began recently, so a citation with no recorded check is a gap in the record rather than evidence it went unchecked.
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Links previously used in the corpus¶
Before the registry existed this work was also linked 1 other way.
Registry ID ref:b1f5f81e4f5f · see in the full table