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Machine Learning Approach for Cloud Data Analytics in IoT
book

Machine Learning Approach for Cloud Data Analytics in IoT

by Sachi Nandan Mohanty, Jyotir Moy Chatterjee, Monika Mangla, Suneeta Satpathy, Sirisha Potluri
July 2021
Intermediate to advanced
528 pages
13h 35m
English
Wiley-Scrivener
Content preview from Machine Learning Approach for Cloud Data Analytics in IoT

Index

  • 3-way, 126
  • 5G networks, 398
    • communication, 403
    • content caching, 405
    • data collection and sharing, 403
    • device-to-device communication, 403
    • energy trading, 405
    • federation learning, 403
    • heterogeneity, 416
    • interpretability, 418
    • network virtualization management, 403
    • resource utilization, 417
    • spectrum management, 404
  • Aadhar, 375
  • Accuracy, 464
  • AdaBoost, 63
  • Adani power, 347, 353, 357, 363, 366, 369, 371
  • Advanced encryption standard, 110
  • AES, 124, 126, 157
  • AI (artificial intelligence), 1–3, 7, 11, 16, 22, 54
  • AIaaS, 83
  • Alluring, 330
  • Amazon AWS, 145
  • Analytics,
  • Anthropomorphism, 465–467
  • Apache Hadoop, 378
  • APIs, 120, 128
  • Applications, 253
    • blood pressure monitoring, 260
    • body temperature monitoring, 261
    • electrocardiogram monitoring, 260
    • glucose level detection, 260
    • healthcare, 259, 260
    • oxygen saturation monitoring, 261
    • smart city, 256
    • smart energy and smart grid, 258
    • smart factory and industry 4.0, 256
    • smart farming, 254
    • smart home and smart metering, 257
    • video surveillance, 258
    • weather forecasting, 258
  • Applications of ML,
    • rules, 434
    • terminology, 432
    • unsupervised vs supervised, 434
  • Applications of unsupervised learning,
    • advancements, 444
    • effective marketing, 444
    • faster computing, 444
    • ML in voice assistance, 443
    • regulation, 443
    • the end note, 445
  • Applications using ML algos,
    • decision tree, 446
    • dimensionality reduction, 448
    • gradient boosting, 448
    • k-means, 447
    • k-nearest, 447
    • linear regression, 445
    • logistics regression, 446
    • naïve byes, 446
    • random forest, 447
    • SVM, 446
  • ARCS ...
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Publisher Resources

ISBN: 9781119785804Purchase Link