Big Data, Data Mining, and Machine Learning

Big Data, Data Mining, and Machine Learning
Author :
Publisher : John Wiley & Sons
Total Pages : 293
Release :
ISBN-10 : 9781118618042
ISBN-13 : 1118618041
Rating : 4/5 (041 Downloads)

Book Synopsis Big Data, Data Mining, and Machine Learning by : Jared Dean

Download or read book Big Data, Data Mining, and Machine Learning written by Jared Dean and published by John Wiley & Sons. This book was released on 2014-05-27 with total page 293 pages. Available in PDF, EPUB and Kindle. Book excerpt: With big data analytics comes big insights into profitability Big data is big business. But having the data and the computational power to process it isn't nearly enough to produce meaningful results. Big Data, Data Mining, and Machine Learning: Value Creation for Business Leaders and Practitioners is a complete resource for technology and marketing executives looking to cut through the hype and produce real results that hit the bottom line. Providing an engaging, thorough overview of the current state of big data analytics and the growing trend toward high performance computing architectures, the book is a detail-driven look into how big data analytics can be leveraged to foster positive change and drive efficiency. With continued exponential growth in data and ever more competitive markets, businesses must adapt quickly to gain every competitive advantage available. Big data analytics can serve as the linchpin for initiatives that drive business, but only if the underlying technology and analysis is fully understood and appreciated by engaged stakeholders. This book provides a view into the topic that executives, managers, and practitioners require, and includes: A complete overview of big data and its notable characteristics Details on high performance computing architectures for analytics, massively parallel processing (MPP), and in-memory databases Comprehensive coverage of data mining, text analytics, and machine learning algorithms A discussion of explanatory and predictive modeling, and how they can be applied to decision-making processes Big Data, Data Mining, and Machine Learning provides technology and marketing executives with the complete resource that has been notably absent from the veritable libraries of published books on the topic. Take control of your organization's big data analytics to produce real results with a resource that is comprehensive in scope and light on hyperbole.


Big Data, Data Mining, and Machine Learning Related Books

Big Data, Data Mining, and Machine Learning
Language: en
Pages: 293
Authors: Jared Dean
Categories: Computers
Type: BOOK - Published: 2014-05-27 - Publisher: John Wiley & Sons

DOWNLOAD EBOOK

With big data analytics comes big insights into profitability Big data is big business. But having the data and the computational power to process it isn't near
Data Mining and Big Data
Language: en
Pages: 340
Authors: Ying Tan
Categories: Computers
Type: BOOK - Published: 2019-07-25 - Publisher: Springer

DOWNLOAD EBOOK

This book constitutes the refereed proceedings of the 4th International Conference on Data Mining and Big Data, DMBD 2019, held in Chiang Mai, Thailand, in July
Mining of Massive Datasets
Language: en
Pages: 480
Authors: Jure Leskovec
Categories: Computers
Type: BOOK - Published: 2014-11-13 - Publisher: Cambridge University Press

DOWNLOAD EBOOK

Now in its second edition, this book focuses on practical algorithms for mining data from even the largest datasets.
Predictive Analytics, Data Mining and Big Data
Language: en
Pages: 241
Authors: S. Finlay
Categories: Business & Economics
Type: BOOK - Published: 2014-07-01 - Publisher: Springer

DOWNLOAD EBOOK

This in-depth guide provides managers with a solid understanding of data and data trends, the opportunities that it can offer to businesses, and the dangers of
Data Mining Approaches for Big Data and Sentiment Analysis in Social Media
Language: en
Pages: 336
Authors: Brij Gupta
Categories: Big data
Type: BOOK - Published: 2021 - Publisher:

DOWNLOAD EBOOK

"This book explores the key concepts of data mining and utilizing them on online social media platforms, offering valuable insight into data mining approaches f