Compartir
Handbook of Computational Social Science, Volume 2: Data Science, Statistical Modelling, and Machine Learning Methods (European Association of Methodology Series) (en Inglés)
Uwe Engel
(Ilustrado por)
·
Anabel Quan-Haase
(Ilustrado por)
·
Sunny Liu
(Ilustrado por)
·
Routledge
· Tapa Dura
Handbook of Computational Social Science, Volume 2: Data Science, Statistical Modelling, and Machine Learning Methods (European Association of Methodology Series) (en Inglés) - Engel, Uwe ; Quan-Haase, Anabel ; Liu, Sunny
$ 160.430
$ 291.690
Ahorras: $ 131.260
Elige la lista en la que quieres agregar tu producto o crea una nueva lista
✓ Producto agregado correctamente a la lista de deseos.
Ir a Mis Listas
Origen: Estados Unidos
(Costos de importación incluídos en el precio)
Se enviará desde nuestra bodega entre el
Lunes 15 de Julio y el
Lunes 29 de Julio.
Lo recibirás en cualquier lugar de Chile entre 1 y 3 días hábiles luego del envío.
Reseña del libro "Handbook of Computational Social Science, Volume 2: Data Science, Statistical Modelling, and Machine Learning Methods (European Association of Methodology Series) (en Inglés)"
The Handbook of Computational Social Science is a comprehensive reference source for scholars across multiple disciplines. It outlines key debates in the field, showcasing novel statistical modeling and machine learning methods, and draws from specific case studies to demonstrate the opportunities and challenges in CSS approaches.The Handbook is divided into two volumes written by outstanding, internationally renowned scholars in the field. This second volume focuses on foundations and advances in data science, statistical modeling, and machine learning. It covers a range of key issues, including the management of big data in terms of record linkage, streaming, and missing data. Machine learning, agent-based and statistical modeling, as well as data quality in relation to digital trace and textual data, as well as probability, non-probability, and crowdsourced samples represent further foci. The volume not only makes major contributions to the consolidation of this growing research field, but also encourages growth into new directions.With its broad coverage of perspectives (theoretical, methodological, computational), international scope, and interdisciplinary approach, this important resource is integral reading for advanced undergraduates, postgraduates, and researchers engaging with computational methods across the social sciences, as well as those within the scientific and engineering sectors.