Challenges and Applications of Data Analytics in Social Perspectives
Seiten
2020
Business Science Reference (Verlag)
978-1-7998-2566-1 (ISBN)
Business Science Reference (Verlag)
978-1-7998-2566-1 (ISBN)
Provides innovative insights into the prevailing challenges in data analytics and its application on social media and focuses on various machine learning and deep learning techniques in improving practice and research. Topics examined include collaborative filtering, data visualization, and edge computing.
With exponentially increasing amounts of data accumulating in real-time, there is no reason why one should not turn data into a competitive advantage. While machine learning, driven by advancements in artificial intelligence, has made great strides, it has not been able to surpass a number of challenges that still prevail in the way of better success. Such limitations as the lack of better methods, deeper understanding of problems, and advanced tools are hindering progress.
Challenges and Applications of Data Analytics in Social Perspectives provides innovative insights into the prevailing challenges in data analytics and its application on social media and focuses on various machine learning and deep learning techniques in improving practice and research. The content within this publication examines topics that include collaborative filtering, data visualization, and edge computing. It provides research ideal for data scientists, data analysts, IT specialists, website designers, e-commerce professionals, government officials, software engineers, social media analysts, industry professionals, academicians, researchers, and students.
With exponentially increasing amounts of data accumulating in real-time, there is no reason why one should not turn data into a competitive advantage. While machine learning, driven by advancements in artificial intelligence, has made great strides, it has not been able to surpass a number of challenges that still prevail in the way of better success. Such limitations as the lack of better methods, deeper understanding of problems, and advanced tools are hindering progress.
Challenges and Applications of Data Analytics in Social Perspectives provides innovative insights into the prevailing challenges in data analytics and its application on social media and focuses on various machine learning and deep learning techniques in improving practice and research. The content within this publication examines topics that include collaborative filtering, data visualization, and edge computing. It provides research ideal for data scientists, data analysts, IT specialists, website designers, e-commerce professionals, government officials, software engineers, social media analysts, industry professionals, academicians, researchers, and students.
| Erscheinungsdatum | 02.01.2020 |
|---|---|
| Sprache | englisch |
| Maße | 216 x 279 mm |
| Gewicht | 633 g |
| Themenwelt | Mathematik / Informatik ► Informatik ► Datenbanken |
| Informatik ► Software Entwicklung ► User Interfaces (HCI) | |
| ISBN-10 | 1-7998-2566-3 / 1799825663 |
| ISBN-13 | 978-1-7998-2566-1 / 9781799825661 |
| Zustand | Neuware |
| Haben Sie eine Frage zum Produkt? |
Mehr entdecken
aus dem Bereich
aus dem Bereich
Aus- und Weiterbildung nach iSAQB-Standard zum Certified Professional …
Buch | Hardcover (2023)
dpunkt Verlag
CHF 48,85
Lean UX und Design Thinking: Teambasierte Entwicklung …
Buch | Hardcover (2022)
dpunkt (Verlag)
CHF 48,85
Wissensverarbeitung - Neuronale Netze
Buch | Hardcover (2023)
Carl Hanser (Verlag)
CHF 48,95
