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MIT Press Optimization for Machine Learning Textbook

Tan

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Description

Optimization for Machine Learning from the Neural Information Processing series provides an up-to-date account of how optimization and machine learning connect. This text is designed to be accessible to both students and researchers working within these two communities. As modern computational science evolves, optimization methods become vital for designing algorithms that extract knowledge from large volumes of data. This book explains how machine learning is not just a consumer of optimization technology, but a field that generates its own new optimization ideas. It serves as a comprehensive resource for understanding these developing relationships in the field.

Key Features

This book is part of the Neural Information Processing series published by MIT Press.

The text provides an up-to-date account of the connection between optimization and machine learning.

Content is written to be accessible to both students and researchers in the computational science community.

The material covers how optimization methods help design algorithms for extracting knowledge from large data volumes.

The book explores how machine learning generates new optimization ideas rather than just using existing technology.

Product Specifications

Colour
Tan
Format
paperback
Domain
Amazon UK
Release Date
30 September 2011
Listed Since
15 January 2019

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No barcode data available

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