home
sign in
my orders
my e-books
my trolley
my account
contact
keyword
isbn13
author
title
| can't find it |
Tell us the title, author
and / or ISBN number
*
Any other details such as author,
ISBN, title or genre. Please be specific
What is your email address?
*
Not a valid email address
| browse books |
Textbooks
books
antiques & collectibles
architecture
art
biography & autobiography
body, mind & spirit
business & economics
comics & graphic novels
computers
cooking
crafts & hobbies
drama
education
family & relationships
fiction
foreign language study
games
gardening
health & fitness
history
house & home
humor
juvenile fiction
juvenile nonfiction
language arts & disciplines
law
literary collections
literary criticism
mathematics
medical
music
nature
non-classifiable
performing arts
pets
philosophy
photography
poetry
political science
psychology
reference
religion
science
self-help
social science
sports & recreation
study aids
technology
transportation
travel
true crime
books
| book details |
Data-Driven Computational Neuroscience: Machine Learning and Statistical Models
By (author)
Concha Bielza
, By (author)
Pedro Larrañaga
This book is currently unavailable. Enquire to check if we can source a used copy
| enquire |
processing...
| book description |
Data-driven computational neuroscience facilitates the transformation of data into insights into the structure and functions of the brain. This introduction for researchers and graduate students is the first in-depth, comprehensive treatment of statistical and machine learning methods for neuroscience. The methods are demonstrated through case studies of real problems to empower readers to build their own solutions. The book covers a wide variety of methods, including supervised classification with non-probabilistic models (nearest-neighbors, classification trees, rule induction, artificial neural networks and support vector machines) and probabilistic models (discriminant analysis, logistic regression and Bayesian network classifiers), meta-classifiers, multi-dimensional classifiers and feature subset selection methods. Other parts of the book are devoted to association discovery with probabilistic graphical models (Bayesian networks and Markov networks) and spatial statistics with point processes (complete spatial randomness and cluster, regular and Gibbs processes). Cellular, structural, functional, medical and behavioral neuroscience levels are considered.
| product details |
Normally shipped |
Enquiries only
Publisher |
Cambridge University Press (Virtual Publishing)
Published date |
5 Nov 2020
Language |
Format |
Digital download and online
Pages |
0
Dimensions |
0 x 0 x 0mm (L x W x H)
Weight |
0g
ISBN |
978-1-1086-4298-9
Readership Age |
BISAC |
computers / computer vision
| other options |
| back |
| your trolley |
To view the items in your trolley please sign in.
| sign in |
| specials |
Helgoland: The Strange and Beautiful Story of Quantum Physics
Carlo Rovelli
Paperback / softback
208 pages
was: R 295.95
now: R 265.95
Available from overseas. Usually dispatched in 3 to 6 weeks
| more |
| add to trolley |
processing...
The Coming Wave: AI, Power and Our Future
Mustafa Suleyman
Paperback / softback
352 pages
was: R 295.95
now: R 265.95
Stock is usually dispatched in 6-12 days from date of order
| more |
| add to trolley |
processing...
The Order of Time
Carlo Rovelli
Paperback / softback
224 pages
was: R 295.95
now: R 265.95
Available from overseas. Usually dispatched in 3 to 6 weeks
Originally published in Italian: L'ordine del tempo (Milan: Adelphi Edizioni, 2017).
| more |
| add to trolley |
processing...
Copyright 2025
|
terms and conditions