Description: Please refer to the section BELOW (and NOT ABOVE) this line for the product details - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Title:Machine Learning Approaches And Applications In Applied Intelligence For Healthcare Data AnalyticsISBN13:9780367676339ISBN10:0367676338Author:Kumar, Abhishek (Editor), Sreenatha, Anavatti G. (Editor), Dubey, Ashutosh Kumar (Editor)Description:In The Last Two Decades, Machine Learning Has Been Dramatically Developed And Is Still Experiencing A Fast And Ever-Lasting Change In Paradigm, Methodology, Applications, And Other Aspects This Book Offers A Compendium Of Current And Emerging Machine Learning Paradigms In Healthcare Informatics And Reflects On The Diversity And Complexity Machine Learning Approaches And Applications Applied Intelligence For Healthcare Data Analytics Presents A Variety Of Techniques Design To Enhance And Empower Multi-Disciplinary And Multi-Institutional Machine Learning Research It Provides Many Case Studies And A Panoramic View Of Data And Machine Learning Techniques Providing The Opportunity For Novel Insights And Discoveries The Book Explores The Theory And Practical Applications In Healthcare And Includes A Guided Tour Of Machine Learning Algorithms, Architecture Design, Along With Interdisciplinary Challenges This Book Is Useful To Research Scholars And Students Involved In Critical Condition Analysis And Computation Models Binding:Hardcover, HardcoverPublisher:CRC PressPublication Date:2022-02-22Weight:0 lbsDimensions:Number of Pages:248Language:English
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End Time: 2025-01-22T01:02:11.000Z
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Book Title: Machine Learning Approaches And Applications In Applied Inte...
Item Weight: 0 lbs
Author: Abhishek Kumar, Pramod Singh Rathore, Ashutosh Kumar Dubey, Anavatti G. Sreenatha
Publication Name: Machine Learning Approaches and Applications in Applied Intelligence for Healthcare Data Analytics
Format: Hardcover
Language: English
Publisher: CRC Press LLC
Publication Year: 2022
Type: Textbook
Number of Pages: 226 Pages
