Learning to Quantify - Andrea Esuli,Fabrizio Sebastiani,Alessandro Fabris,Alejandro Moreo
-30% koodiga BOOKS
Saadetis 12-18 tööpäeva jooksul
30-päevane tagastamisõigus
This open access book provides an introduction and an overview of learning to quantify (a.k.a. ¿quantification¿), i.e. the task of training estimators of class proportions in unlabeled data by means of supervised learning. In data science, learning to quantify is a task of its own related to classification yet different from it, since estimating class proportions by simply classifying all data and counting ... Täielik kirjeldus
Võib-olla meeldib sulle ka
TOP
Gödel, Escher, Bach: An Eternal Golden Braid
-30% koodiga BOOKS
Meie tarnija laos
TOP
If Anyone Builds It, Everyone Dies: Why Superhuman AI Would Kill Us All
Eliezer Yudkowsky, Nate Soares
-30% koodiga BOOKS
Meie tarnija laos
TOP
AI Engineering: Building Applications with Foundation Models
-30% koodiga BOOKS
Meie tarnija laos
TOP
Empire of AI: Dreams and Nightmares in Sam Altman's OpenAI
-30% koodiga BOOKS
Meie tarnija laos
TOP
The Pragmatic Programmer: journey to mastery, 20th Anniversary Edition, 2/e: your journey to mastery, 20th Anniversary Edition
-30% koodiga BOOKS
Meie tarnija laos
TOP
How To Think About AI: A Guide For The Perplexed
-30% koodiga BOOKS
Meie tarnija laos
TOP
Slanted 47 Digital Tools: Slanted Magazine
-30% koodiga BOOKS
Meie tarnija laos
TOP
The Web Application Hacker's Handbook: Discovering and Exploiting Security Flaws
-30% koodiga BOOKS
Meie tarnija laos
TOP
The Art of Game Design: A Book of Lenses
-30% koodiga BOOKS
Meie tarnija laos
TOP
How Linux Works: What Every Superuser Should Know
-30% koodiga BOOKS
Meie tarnija laos
TOP
Artificial Intelligence: A Modern Approach, Global Edition
-30% koodiga BOOKS
Meie tarnija laos
TOP
Python Crash Course: A Hands-On, Project-Based Introduction to Programming
-30% koodiga BOOKS
Meie tarnija laos
TOP
CompTIA Security+ Certification Kit: Exam SY0-701
-30% koodiga BOOKS
Meie tarnija laos
TOP
Fundamentals of Software Architecture: A Modern Engineering Approach
-30% koodiga BOOKS
Meie tarnija laos
TOP
Speak Data: Artists, Scientists, Thinkers, and Dreamers on How We Live Our Lives in Numbers
-30% koodiga BOOKS
Meie tarnija laos
TOP
Linux Basics for Hackers, 2nd Edition: Getting Started with Networking, Scripting, and Security in Kali
-30% koodiga BOOKS
Meie tarnija laos
TOP
HBR Guide to Generative AI for Managers
-30% koodiga BOOKS
Meie tarnija laos
TOP
Hackers. 25th Anniversary Edition: Heroes of the Computer Revolution
-30% koodiga BOOKS
Meie tarnija laos
Kirjeldus
This open access book provides an introduction and an overview of learning to quantify (a.k.a. ¿quantification¿), i.e. the task of training estimators of class proportions in unlabeled data by means of supervised learning. In data science, learning to quantify is a task of its own related to classification yet different from it, since estimating class proportions by simply classifying all data and counting the labels assigned by the classifier is known to often return inaccurate (¿biased¿) class proportion estimates. The book introduces learning to quantify by looking at the supervised learning methods that can be used to perform it, at the evaluation measures and evaluation protocols that should be used for evaluating the quality of the returned predictions, at the numerous fields of human activity in which the use of quantification techniques may provide improved results with respect to the naive use of classification techniques, and at advanced topics in quantification research. The book is suitable to researchers, data scientists, or PhD students, who want to come up to speed with the state of the art in learning to quantify, but also to researchers wishing to apply data science technologies to fields of human activity (e.g., the social sciences, political science, epidemiology, market research) which focus on aggregate (¿macrö) data rather than on individual (¿micrö) data.
Lisateave
| Autor | Andrea Esuli, Fabrizio Sebastiani, Alessandro Fabris, Alejandro Moreo |
|---|---|
| Kirjastaja | Springer Nature Switzerland |
| Series | The Information Retrieval Series |
| Väljalaskeaasta | 2023 |
| Kaanetüüp | Pehme kaanega |
| EAN | 9783031204661 |