|
|
books
| book details |
Machine Learning for the Quantified Self: On the Art of Learning from Sensory Data
By (author) Mark Hoogendoorn, By (author) Burkhardt Funk
|
| on special |
normal price: R 5 691.95
Price: R 5 122.95
|
| book description |
This book explains the complete loop to effectively use self-tracking data for machine learning. While it focuses on self-tracking data, the techniques explained are also applicable to sensory data in general, making it useful for a wider audience. Discussing concepts drawn from from state-of-the-art scientific literature, it illustrates the approaches using a case study of a rich self-tracking data set. Self-tracking has become part of the modern lifestyle, and the amount of data generated by these devices is so overwhelming that it is difficult to obtain useful insights from it. Luckily, in the domain of artificial intelligence there are techniques that can help out: machine-learning approaches allow this type of data to be analyzed. While there are ample books that explain machine-learning techniques, self-tracking data comes with its own difficulties that require dedicated techniques such as learning over time and across users.
| product details |
Normally shipped |
Publisher | Springer International Publishing AG
Published date | 5 Oct 2017
Language |
Format | Hardback
Pages | 231
Dimensions | 235 x 155 x 0mm (L x W x H)
Weight | 0g
ISBN | 978-3-3196-6307-4
Readership Age |
BISAC | computers / artificial intelligence
| other options |
Normally shipped |
Readership Age |
Normal Price | R 7 690.95
Price | R 6 921.95
| on special |
|
|
To view the items in your trolley please sign in.
| sign in |
|
|
|
| specials |
|
An epic love story with the pulse of a thriller that asks: what would you risk for a second chance at first love?
|
|
|
|
Mason Coile
Paperback / softback
224 pages
was: R 520.95
now: R 468.95
|
A terrifying locked-room mystery set in a remote outpost on Mars.
|
|
|
|
