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- Дата: 29-07-2020, 18:49
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Автор: Richard Golden
Издательство: Chapman and Hall/CRC
Год: 2020
Формат: True PDF
Страниц: 525
Размер: 10.8 Mb
Язык: English
The recent rapid growth in the variety and complexity of new machine learning architectures requires the development of improved methods for designing, analyzing, evaluating, and communicating machine learning technologies. Statistical Machine Learning: A Unified Framework provides students, engineers, and scientists with tools from mathematical statistics and nonlinear optimization theory to become experts in the field of machine learning. In particular, the material in this text directly supports the mathematical analysis and design of old, new, and not-yet-invented nonlinear high-dimensional machine learning algorithms.