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Machine Learning Methods and Applications to Brain Disorders Mechelli Vieira

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Machine Learning

Methods and Applications to Brain Disorders

A complete reference on machine learning and its applications to neuroscience

Andrea Mechelli (Edited by), Sandra Vieira (Edited by)

9780128157398

Paperback / softback, published 15 November 2019

408 pages

22.9 x 15.2 x 2.6 cm, 0.61 kg

\""This is a fantastic resource for researchers and clinicians interested in the application of artificial intelligence to brain disorders. The most up-to-date approaches are covered, using a rigorous yet accessible language. The step-by-step practical guide will be particularly useful to those taking their first steps in this field.\"" --Qiyong Gong, MD, PhD

Machine Learning is an area of artificial intelligence involving the development of algorithms to discover trends and patterns in existing data; this information can then be used to make predictions on new data. A growing number of researchers and clinicians are using machine learning methods to develop and validat]

Machine Learning Methods and Applications to Brain Disorders Mechelli Vieira

Machine Learning

Methods and Applications to Brain Disorders

A complete reference on machine learning and its applications to neuroscience

Andrea Mechelli (Edited by), Sandra Vieira (Edited by)

9780128157398

Paperback / softback, published 15 November 2019

408 pages

22.9 x 15.2 x 2.6 cm, 0.61 kg

\""This is a fantastic resource for researchers and clinicians interested in the application of artificial intelligence to brain disorders. The most up-to-date approaches are covered, using a rigorous yet accessible language. The step-by-step practical guide will be particularly useful to those taking their first steps in this field.\"" --Qiyong Gong, MD, PhD

Machine Learning is an area of artificial intelligence involving the development of algorithms to discover trends and patterns in existing data; this information can then be used to make predictions on new data. A growing number of researchers and clinicians are using machine learning methods to develop and validat]

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