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Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning
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Black Box Optimization, Machine Learning, and No-Free Lunch Theorems (Hardcover, 1st ed. 2021)
Loot Price: R3,787
Discovery Miles 37 870
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Black Box Optimization, Machine Learning, and No-Free Lunch Theorems (Hardcover, 1st ed. 2021)
Series: Springer Optimization and Its Applications, 170
Expected to ship within 10 - 15 working days
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This edited volume illustrates the connections between machine
learning techniques, black box optimization, and no-free lunch
theorems. Each of the thirteen contributions focuses on the
commonality and interdisciplinary concepts as well as the
fundamentals needed to fully comprehend the impact of individual
applications and problems. Current theoretical, algorithmic, and
practical methods used are provided to stimulate a new effort
towards innovative and efficient solutions. The book is intended
for beginners who wish to achieve a broad overview of optimization
methods and also for more experienced researchers as well as
researchers in mathematics, optimization, operations research,
quantitative logistics, data analysis, and statistics, who will
benefit from access to a quick reference to key topics and methods.
The coverage ranges from mathematically rigorous methods to
heuristic and evolutionary approaches in an attempt to equip the
reader with different viewpoints of the same problem.
General
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