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Intelligence emerging : adaptivity and search in evolving neural systems
"Emergence--the formation of global patterns from solely local interactions--is a frequent and fascinating theme in the scientific literature both popular and academic. In this book, Keith Downing undertakes a systematic investigation of the widespread (if often vague) claim that intelligence is an emergent phenomenon. Downing focuses on neural networks, both natural and artificial, and how the…
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- ISBN/ISSN
- 0262328666
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- 1 online resource (xxii, 475 pages) :illustrations
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How Smart Machines Think
The future is here: Self-driving cars are on the streets, an algorithm gives you movie and TV recommendations, IBM's Watson triumphed on Jeopardy over puny human brains, computer programs can be trained to play Atari games. But how do all these thingswork? In this book, Sean Gerrish offers an engaging and accessible overview of the breakthroughs in artificial intelligence and machine learning t…
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- ISBN/ISSN
- 9780262347938
- Collation
- 1 online resource (xiv, 298 pages)
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Perturbations optimization and statistics
A description of perturbation-based methods developed in machine learning to augment novel optimization methods with strong statistical guarantees.In nearly all machine learning, decisions must be made given current knowledge. Surprisingly, making what is believed to be the best decision is not always the best strategy, even when learning in a supervised learning setting. An emerging body of wo…
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- ISBN/ISSN
- 9780262337939
- Collation
- 1 online resource (ix, 401 pages).
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Machine learning for data streams with practical examples in MOA
A hands-on approach to tasks and techniques in data stream mining and real-time analytics, with examples in MOA, a popular freely available open-source software framework.OCLC-licensed vendor bibliographic record.
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- ISBN/ISSN
- 9780262346047
- Collation
- 1 online resource (xxi, 262 pages) :illustrations.
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Optimization for machine learning
An up-to-date account of the interplay between optimization and machine learning, accessible to students and researchers in both communities.The interplay between optimization and machine learning is one of the most important developments in modern computational science. Optimization formulations and methods are proving to be vital in designing algorithms to extract essential knowledge from hug…
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- ISBN/ISSN
- 9780262298773
- Collation
- 1 online resource (ix, 494 pages) :illustrations.
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Advanced Structured Prediction
The goal of structured prediction is to build machine learning models that predict relational information that itself has structure, such as being composed of multiple interrelated parts. These models, which reflect prior knowledge, task-specific relations, and constraints, are used in fields including computer vision, speech recognition, natural language processing, and computational biology. …
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- ISBN/ISSN
- 0262322951
- Collation
- 1 online resource (ix, 415 pages) :illustrations.
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The AI playbook :mastering the rare art of machine learning deployment
"A playbook for bridging business and data science worlds to effectively execute machine learning projects in business"--OCLC-licensed vendor bibliographic record.
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- ISBN/ISSN
- 9780262378123
- Collation
- 1 online resource.
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Art in the age of machine learning
"This book examines artistic practices that use machine learning and computational technologies through historical perspectives surrounding adaptive systems from the 1950s onwards"--OCLC-licensed vendor bibliographic record.
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- ISBN/ISSN
- 0262367092
- Collation
- 1 online resource.
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How to grow a robot: :developing human-friendly, social AI
"Mark Lee considers that the current gains in machine learning and deep learning will not produce robots that can interact effectively with humans. The book then explores how robots can become more human-like, more general-purpose, and more social. The book introduces us to the core ideas in Developmental Robotics - showing how this new approach can "grow" robots through (their own) experience …
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- ISBN/ISSN
- 0262357852
- Collation
- 1 online resource.
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Predicting structured data
Collected papers based on talks presented at two Neural Information Processing Systems workshops.State-of-the-art algorithms and theory in a novel domain of machine learning, prediction when the output has structure.Machine learning develops intelligent computer systems that are able to generalize from previously seen examples. A new domain of machine learning, in which the prediction must sati…
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- ISBN/ISSN
- 9780262255691
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- 1 online resource (viii, 348 pages) :illustrations.
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