Kontakt
Ako nakupovať
Doručenie
Nákupný poradca
Towards a Theory for Designing Machine Learning Systems for Complex Decision Making Problems
Angličtina
121 b
Až 30 dní na vrátenie tovaru
Zákazníci tiež kúpili
/
Brožovaná
12.96
€
/
Brožovaná
44.24
€
/
Brožovaná
55.91
€
The ubiquitousness of data and the emergence of data-driven machine learning approaches provide new means of creating insights. However, coping with the great volume, velocity, and variety of data requires improved data analysis methods. This dissertation contributes a nascent design theory, named the Division-of-Labor framework, for developing complex machine learning systems that can not only address the challenges of big data but also leverage their characteristics to perform more sophisticated analyses. I evaluate the proposed design principles in three practical settings, in which I apply the principles to design machine learning systems that (i) support treatment decision making for cancer patients, (ii) provide consumers with recommendations on two-sided platforms, and (iii) address a trade-off between efficiency and comfort in the context of autonomous vehicles. The evaluations partially validate the proposed theory, but also show that some principles require further attention in order to be practicable.
Informácie o knihe
Angličtina
Kategórie
Darujte túto knihu ešte dnes
Je to jednoduché
1 Pridajte knihu do košíka a vyberte možnosť doručiť ako darček 2 Obratom Vám zašleme poukaz 3 Knihu zašleme na adresu obdarovanéhoMohlo by vás tiež zaujímať
/
Brožovaná
26.25
€
/
Pevná
23.63
€
Ahoj! Som Libroamiko, tvoj knižný radca.
Ako ti môžem pomôcť?