Kniha Machine Learning for the Quantified Self Mark Hoogendoorn

Machine Learning for the Quantified Self

On the Art of Learning from Sensory Data

Jazyk: Angličtina
Väzba: Brožovaná
Dostupnosť: Skladom u dodávateľa
Odosielame za 5-8 dní
169.82
This book explains the complete loop to effectively use self-tracking data for machine learning. Whi...

Informácie o knihe

Jazyk
Angličtina
Väzba
Kniha - Brožovaná
Vydalo
2018
Stránok
231
EAN
9783319882154
Enbook ID
21376048
Hmotnosť
385
Rozmery
155 x 235 x 14

Kompletný popis

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.

Mohlo by vás zaujímať

Moment in Time

Lisa Mondello
8.54
227.77
11.97

ACT Workbook for OCD

Marisa T. Mazza
21.99

Health Psychology

Hymie Anisman
46.75

Reform of Prisoners

Willam James Forsythe
48.91
107.55
28.97
107.55

Master of the House

Oleg Khlevniuk
91.93

Heart Of A Woman

Maya Angelou
11.48

Proust's Overcoat

Lorenza Foschini
8.54

Zákazníci, ktorí si kúpili túto knihu, kúpili tiež

6.16

Gedichte

Johann Wilhelm Ludwig Gleim
15.22