Machine learning and big data : concepts, algorithms, tools and applications /

Machine learning and big data : concepts, algorithms, tools and applications /

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"Machine learning with big data technologies create new opportunities to understand the various data process related to medical or environmental aspects of agriculture. Machine learning as a field is now incredibly pervasive, with applications spanning from business intelligence to homeland sec...

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Bibliographic Details
Other Authors: Dulhare, Uma N. (Editor), Ahmad, Khaleel (Editor), Khairol Amali Bin Ahmad (Editor)
Format: eBook
Language:English
Published: Hoboken, NJ : Wiley-Scrivener, 2020.
Subjects:
Machine learning.
Big data.
Online Access:CONNECT
CONNECT
Table of Contents:
  • Section 1: Theoretical Fundamentals
  • Mathematical Foundation / Afroz and Basharat Hussain
  • Theory of Probability / Parvaze Ahmad Dar and Afroz
  • Correlation and Regression / Mohd. Abdul Haleem Rizwan
  • Section 2: Big Data and Pattern Recognition
  • Data Preprocess / Md. Sharif Hossen
  • Big Data / R. Chinnaiyan
  • Pattern Recognition Concepts / Ambeshwar Kumar, R. Manikandan and C. Thaventhiran
  • Section 3: Machine Learning: Algorithms & Applications
  • Machine Learning / Elham Ghanbari and Sara Najafzadeh
  • Performance of Supervised Learning Algorithms on Multi-Variate Datasets / Asif Iqbal Hajamydeen and Rabab Alayham Abbas Helmi
  • Unsupervised Learning / M. Kumara Swamy and Tejaswi Puligilla
  • Semi-Supervised Learning / Manish Devgan, Gaurav Malik and Deepak Kumar Sharma
  • Reinforcement Learning / Amandeep Singh Bhatia, Mandeep Kaur Saggi, Amit Sundas and Jatinder Ashta
  • Application of Big Data and Machine Learning / Neha Sharma, Sunil Kumar Gautam, Azriel A. Henry and Abhimanyu Kumar
  • Section 4: Machine Learning's Next Frontier
  • Transfer Learning / Riyanshi Gupta, Kartik Krishna Bhardwaj and Deepak Kumar Sharma
  • Section 5: Hands-On and Case Study
  • Hands on MAHOUT-Machine Learning Tool / Uma N. Dulhare and Sheikh Gouse
  • Hands-On H2O Machine Learning Tool / Uma N. Dulhare, Azmath Mubeen and Khaleel Ahmed
  • Case Study: Intrusion Detection System Using Machine Learning / Syeda Hajra Mahin, Fahmina Taranum and Reshma Nikhat
  • Inclusion of Security Features for Implications of Electronic Governance Activities / Prabal Pratap and Nripendra Dwivedi.

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