Paperback (26 Dec 2021)
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This machine learning book series aims at providing real hands-on training from general concepts and architecture to low-level details and mathematics. The first epoch covers the simplest linear associative network, proposes a brick notation for algebraic expressions, shows required calculus derivations, and illustrates gradient descent. Subsequent epochs also include necessary computer science foundations, statistics, data science topics, algorithms, and data structures.
| ISBN: | 9781912636501 |
| Publisher: | Opentask |
| Imprint: | Opentask |
| Pub date: | 26 Dec 2021 |
| Language: | English |
| Number of pages: | 20 |
| Weight: | 41g |
| Height: | 165mm |
| Width: | 165mm |
| Spine width: | 1mm |
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