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Machine Learning for Predictive Analysis: Proceedings of ICTIS 2020 by Amit Josh

Description: Machine Learning for Predictive Analysis by Amit Joshi, Mahdi Khosravy, Neeraj Gupta Estimated delivery 3-12 business days Format Hardcover Condition Brand New Description It covers topics such as intelligent agent and multi-agent systems in various domains, machine learning, intelligent information retrieval and business intelligence, intelligent information system development using design science principles, intelligent web mining and knowledge discovery systems. Publisher Description This book gathers papers addressing state-of-the-art research in the areas of machine learning and predictive analysis, presented virtually at the Fourth International Conference on Information and Communication Technology for Intelligent Systems (ICTIS 2020), India. It covers topics such as intelligent agent and multi-agent systems in various domains, machine learning, intelligent information retrieval and business intelligence, intelligent information system development using design science principles, intelligent web mining and knowledge discovery systems. Author Biography Amit Joshi is currently the Director of Global Knowledge Research Foundation and also an Entrepreneur Researcher who has completed his Masters and research in the areas of cloud computing and cryptography in medical imaging. Dr. Joshi has an experience of around 10 years in academic and industry in prestigious organizations. Dr. Joshi is an active member of ACM, IEEE, CSI, AMIE, IACSIT, Singapore, IDES, ACEEE, NPA and many other professional societies. Currently, Dr. Joshi is the International Chair of InterYIT at International Federation of Information Processing (IFIP, Austria). He has presented and published more than 50 papers in national and international journals/conferences of IEEE and ACM. Dr. Joshi has also edited more than 40 books which are published by Springer, ACM and other reputed publishers. Dr. Joshi has also organized more than 50 national and international conferences and programs in association with ACM, Springer and IEEE to name a few across different countries including India, UK, Europe, USA, Canada, Thailand, Egypt and many more. Mahdi Khosravy holds a B.Sc. in Electrical Engineering (bio-electric) from Sahand University of Technology, Tabriz, Iran; an M.Sc. in Biomedical Engineering (bio-electric) from Beheshti University of Medical Studies, Tehran, Iran; and a Ph.D. in the field of Information Technology from the University of the Ryukyus, Okinawa, Japan. He received an award from the Head of the University for his research excellence. In 2010, he joined the University of Information Science and Technology (UIST), Ohrid, Macedonia as an Assistant Professor, and since 2018, he has been a Visiting Associate Professor at the Electrical Engineering Department, Federal University of Juiz de Fora in Brazil, and the Electrical Department at the University of the Ryukyus, Okinawa, Japan. Since November 2019, Dr. Khosravy has been a researcher at Media-integrated Laboratories, University of Osaka, Japan. He is a member of IEEE. Neeraj Gupta received his Diploma in Environmental and Pollution Control, Civil Engineering in 1999, Bachelor of Engineering (B.E.) in Electrical and Electronics Engineering in 2003, Master of Technology (M.Tech.) in Engineering Systems in 2006, and his Ph.D. in Electrical Engineering from the Indian Institute of Technology (IIT), Kanpur, India, in 2013. He was a Postdoctoral Fellow (Sr. Project Engineer) at the Indian Institute of Technology (IIT) Jodhpur, India, for one year (June 2012–May 2013), and was a member of the faculty at the System Engineering Department of the same institute from 2013 to 2014. He then became an Assistant Professor at the Department of Applied IT Machine Intelligence and Robotics at the University for Information Science and Technology, Ohrid, Macedonia, from 2014 to 2017. Currently, he is an Assistant Professor at the School of Engineering and Computer Science, Oakland University, USA. Details ISBN 9811571058 ISBN-13 9789811571053 Title Machine Learning for Predictive Analysis Author Amit Joshi, Mahdi Khosravy, Neeraj Gupta Format Hardcover Year 2020 Pages 627 Edition 1st Publisher Springer Verlag, Singapore GE_Item_ID:144386342; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. Returns If you wish to return an item, please consult our Returns Policy as below: Please contact Customer Services and request "Return Authorisation" before you send your item back to us. Unauthorised returns will not be accepted. Returns must be postmarked within 4 business days of authorisation and must be in resellable condition. Returns are shipped at the customer's risk. We cannot take responsibility for items which are lost or damaged in transit. For purchases where a shipping charge was paid, there will be no refund of the original shipping charge. Additional Questions If you have any questions please feel free to Contact Us. Categories Baby Books Electronics Fashion Games Health & Beauty Home, Garden & Pets Movies Music Sports & Outdoors Toys

Price: 355.45 USD

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Machine Learning for Predictive Analysis: Proceedings of ICTIS 2020 by Amit Josh

Item Specifics

Restocking Fee: No

Return shipping will be paid by: Buyer

All returns accepted: Returns Accepted

Item must be returned within: 30 Days

Refund will be given as: Money Back

ISBN-13: 9789811571053

Book Title: Machine Learning for Predictive Analysis

Number of Pages: Xxix, 627 Pages

Publication Name: Machine Learning for Predictive Analysis : Proceedings of Ictis 2020

Language: English

Publisher: Springer

Subject: Engineering (General), Intelligence (Ai) & Semantics, Probability & Statistics / General

Publication Year: 2020

Type: Textbook

Item Weight: 40.5 Oz

Subject Area: Mathematics, Computers, Technology & Engineering

Item Length: 9.3 in

Author: Mahdi Khosravy

Item Width: 6.1 in

Series: Lecture Notes in Networks and Systems Ser.

Format: Hardcover

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