In ""Beta Parameters for Unidirectional Interpretation of Bayesian Optimization"", Diego Munoz dives into the intricate mathematical underpinnings behind how Bayesian optimization works but focusing more on what role beta parameters play in influencing our unidirectional lean. A probabilistic approach combined with real-life examples, it offers a more thorough examination of what to expect when indexes are implemented on complex systems. Munoz's work is an invaluable source of information for academics, mathematicians and data scientists wishing to deep delve further into optimization strategies.
By:
Diego Munoz Imprint: Nala Kala Dimensions:
Height: 229mm,
Width: 152mm,
Spine: 8mm
Weight: 204g ISBN:9798330408184 Pages: 146 Publication Date:09 September 2024 Audience:
General/trade
,
ELT Advanced
Format:Paperback Publisher's Status: Active