Description: Applied Machine Learning for Smart Data Analysis by Nilanjan Dey, Sanjeev Wagh, Parikshit N. Mahalle, Mohd. Shafi Pathan Estimated delivery 3-12 business days Format Hardcover Condition Brand New Description The book focusses on how machine learning and Internet of Things (IoT) has empowered the advancement of information driven arrangements including key concepts and advancements. Divided into sections such as machine learning, security, IoT and data mining, the concepts are explained with practical implementation including results. Publisher Description The book focuses on how machine learning and the Internet of Things (IoT) has empowered the advancement of information driven arrangements including key concepts and advancements. Ontologies that are used in heterogeneous IoT environments have been discussed including interpretation, context awareness, analyzing various data sources, machine learning algorithms and intelligent services and applications. Further, it includes unsupervised and semi-supervised machine learning techniques with study of semantic analysis and thorough analysis of reviews. Divided into sections such as machine learning, security, IoT and data mining, the concepts are explained with practical implementation including results.Key FeaturesFollows an algorithmic approach for data analysis in machine learningIntroduces machine learning methods in applicationsAddress the emerging issues in computing such as deep learning, machine learning, Internet of Things and data analyticsFocuses on machine learning techniques namely unsupervised and semi-supervised for unseen and seen data setsCase studies are covered relating to human health, transportation and Internet applications Author Biography Nilanjan Dey, Sanjeev Wagh, Parikshit N. Mahalle, Mohd. Shafi Pathan Details ISBN 1138339792 ISBN-13 9781138339798 Title Applied Machine Learning for Smart Data Analysis Author Nilanjan Dey, Sanjeev Wagh, Parikshit N. Mahalle, Mohd. Shafi Pathan Format Hardcover Year 2019 Pages 244 Publisher Taylor & Francis Ltd GE_Item_ID:139852832; 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: 144.83 USD
Location: Fairfield, Ohio
End Time: 2024-12-06T03:16:34.000Z
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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: 9781138339798
Book Title: Applied Machine Learning for Smart Data Analysis
Number of Pages: 225 Pages
Language: English
Publication Name: Applied Machine Learning for Smart Data Analysis
Publisher: CRC Press LLC
Subject: Machine Theory, Management Information Systems, Internet / General, Electrical, Data Processing, Databases / Data Mining
Publication Year: 2019
Item Weight: 18.2 Oz
Type: Textbook
Item Length: 9.2 in
Author: Sanjeev Wagh
Subject Area: Computers, Technology & Engineering
Item Width: 6.1 in
Series: Computational Intelligence in Engineering Problem Solving Ser.
Format: Hardcover