Machine Learning and Big Data Analytics (1st ed. 2022) (Lecture Notes in Networks and Systems #256)
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- Synopsis
- This edited volume on machine learning and big data analytics (Proceedings of ICMLBDA 2021) is intended to be used as a reference book for researchers and practitioners in the disciplines of computer science, electronics and telecommunication, information science, and electrical engineering. Machine learning and Big data analytics represent a key ingredients in the industrial applications for new products and services. Big data analytics applies machine learning for predictions by examining large and varied data sets—i.e., big data—to uncover hidden patterns, unknown correlations, market trends, customer preferences, and other useful information that can help organizations make more informed business decisions.
- Copyright:
- 2022
Book Details
- Book Quality:
- Publisher Quality
- ISBN-13:
- 9783030824693
- Related ISBNs:
- 9783030824686
- Publisher:
- Springer International Publishing
- Date of Addition:
- 10/30/21
- Copyrighted By:
- The Editor
- Adult content:
- No
- Language:
- English
- Has Image Descriptions:
- No
- Categories:
- Nonfiction, Computers and Internet, Technology
- Submitted By:
- Bookshare Staff
- Usage Restrictions:
- This is a copyrighted book.
- Edited by:
- Rajiv Misra
- Edited by:
- Rudrapatna K. Shyamasundar
- Edited by:
- Amrita Chaturvedi
- Edited by:
- Rana Omer
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- by Rajiv Misra
- by Rudrapatna K. Shyamasundar
- by Amrita Chaturvedi
- by Rana Omer
- in Nonfiction
- in Computers and Internet
- in Technology