Innovations in Data Science and Analytics

Springer, 2026

Huge quantities of structured and unstructured data are available in industry, government, education and health. There is critical need to dive in these data and analyze them to uncover many knowledge and insights that will give rise to many critical and vital decisions. Data Science and Data Analytics deploy scientific methods, algorithms, and machine learning techniques to discover useful information and assist in making critical informed decisions. The Innovations in Data Science and Analytics book bestows a fruitful collection of applications, tools, and techniques in prevalent areas. Among the areas addressed in this book are Social and Societal Impact of Data Science and Analytics, Data Science and Analytics in Healthcare, Data Science and Analytics Techniques and Methodologies, Data Science and Analytics for Cybersecurity, Data Science and Analytics Management, and Data Science and Analytics in LLM. The book conveys an exceptional professional development resource for educators and practitioners on the cutting-edge Data Science and Analytics techniques and applications. It covers many areas and topics of Data Science and Analytics techniques, methods, and applications offered by Data Science and Analytics experts and researchers and broadens the enrichment of the community outreach and engagement component of Data Science and Data Analytics techniques, methods, tools, and applications. Likewise, it supplies a plentiful collection of manuscripts in esteemed Data Science and Data Analytics techniques, methods, tools, and applications topics that have been creatively hoarded.

• Curatore: Abeer Al Sadoon, Kevin Daimi
• Anno edizione: 2026
• Editore: Springer
• Formato: EPUB3 con Adobe DRM
• Lingua: Inglese
• Compatibilità: Tutti i dispositivi (eccetto Kindle)
• Layout: Reflowable
• EAN: 9783032235220