Machine Learning and Data Science

Machine Learning and Data Science
Author :
Publisher : John Wiley & Sons
Total Pages : 276
Release :
ISBN-10 : 9781119776475
ISBN-13 : 1119776473
Rating : 4/5 (473 Downloads)

Book Synopsis Machine Learning and Data Science by : Prateek Agrawal

Download or read book Machine Learning and Data Science written by Prateek Agrawal and published by John Wiley & Sons. This book was released on 2022-07-25 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt: MACHINE LEARNING AND DATA SCIENCE Written and edited by a team of experts in the field, this collection of papers reflects the most up-to-date and comprehensive current state of machine learning and data science for industry, government, and academia. Machine learning (ML) and data science (DS) are very active topics with an extensive scope, both in terms of theory and applications. They have been established as an important emergent scientific field and paradigm driving research evolution in such disciplines as statistics, computing science and intelligence science, and practical transformation in such domains as science, engineering, the public sector, business, social science, and lifestyle. Simultaneously, their applications provide important challenges that can often be addressed only with innovative machine learning and data science algorithms. These algorithms encompass the larger areas of artificial intelligence, data analytics, machine learning, pattern recognition, natural language understanding, and big data manipulation. They also tackle related new scientific challenges, ranging from data capture, creation, storage, retrieval, sharing, analysis, optimization, and visualization, to integrative analysis across heterogeneous and interdependent complex resources for better decision-making, collaboration, and, ultimately, value creation.


Machine Learning and Data Science Related Books

Artificial Intelligence for Big Data
Language: en
Pages: 371
Authors: Anand Deshpande
Categories: Computers
Type: BOOK - Published: 2018-05-22 - Publisher: Packt Publishing Ltd

GET EBOOK

Build next-generation Artificial Intelligence systems with Java Key Features Implement AI techniques to build smart applications using Deeplearning4j Perform bi
Machine Learning and Data Science
Language: en
Pages: 276
Authors: Prateek Agrawal
Categories: Computers
Type: BOOK - Published: 2022-07-25 - Publisher: John Wiley & Sons

GET EBOOK

MACHINE LEARNING AND DATA SCIENCE Written and edited by a team of experts in the field, this collection of papers reflects the most up-to-date and comprehensive
Intelligence Science and Big Data Engineering. Big Data and Machine Learning Techniques
Language: en
Pages: 644
Authors: Xiaofei He
Categories: Computers
Type: BOOK - Published: 2015-10-13 - Publisher: Springer

GET EBOOK

The two-volume set LNCS 9242 + 9243 constitutes the proceedings of the 5th International Conference on Intelligence Science and Big Data Engineering, IScIDE 201
Machine Learning and Big Data
Language: en
Pages: 544
Authors: Uma N. Dulhare
Categories: Computers
Type: BOOK - Published: 2020-09-01 - Publisher: John Wiley & Sons

GET EBOOK

This book is intended for academic and industrial developers, exploring and developing applications in the area of big data and machine learning, including thos
Blockchain, Big Data and Machine Learning
Language: en
Pages: 360
Authors: Neeraj Kumar
Categories: Computers
Type: BOOK - Published: 2020-09-24 - Publisher: CRC Press

GET EBOOK

Present book covers new paradigms in Blockchain, Big Data and Machine Learning concepts including applications and case studies. It explains dead fusion in real