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Social Media Data Mining and Analytics de Gabor Szabo

Social Media Data Mining and Analytics

Autor Gabor Szabo, Gungor Polatkan, P Oscar Boykin, Antonios Chalkiopoulos
en Limba Engleză Paperback – 23 oct 2018
Harness the power of social media to predict customer behavior and improve sales Social media is the biggest source of Big Data. Because of this, 90% of Fortune 500 companies are investing in Big Data initiatives that will help them predict consumer behavior to produce better sales results. Written by Dr.
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Specificații

ISBN-13: 9781118824856
ISBN-10: 1118824857
Pagini: 352
Dimensiuni: 187 x 233 x 22 mm
Greutate: 0.48 kg
Editura: Wiley
Locul publicării:Hoboken, United States

Public țintă

Data and business analysts, and tech–savvy business managers who want to learn how to predict business outcomes

Notă biografică

GABOR SZABO, PHD, is a Senior Staff Software Engineer at Tesla and a former data scientist at Twitter, where he focused on predicting user behavior and content popularity in crowdsourced online services, and on modeling large-scale content dynamics. He also authored the PyCascading data processing library. GUNGOR POLATKAN, PHD, is a Tech Lead/Engineering Manager designing and implementing end-to-end machine learning and artificial intelligence offline/online pipelines for the LinkedIn Learning relevance backend. He was previously a machine learning scientist at Twitter, where he worked on topics such as ad targeting and user modeling. P. OSCAR BOYKIN, PHD, is a software engineer at Stripe where he works on machine learning infrastructure. He was previously a Senior Staff Engineer at Twitter, where he worked on data infrastructure problems. He is coauthor of the Scala big-data libraries Algebird, Scalding and Summingbird. ANTONIOS CHALKIOPOULOS, MSC, is a Distributed Systems Specialist. A system engineer who has delivered fast/big data projects in media, betting, and finance, he is now leading the effort on the Lenses platform for data streaming as a co-founder and CEO at https://lenses.stream.