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
- 9781912636501
-
Category:
- Machine learning
- Format:
- Paperback
- Publication Date:
-
26-12-2021
- Publisher:
- Opentask
- Pages:
- 20
- Dimensions (mm):
- 165x165x1mm
- Weight:
- 0.04kg
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