
Machine Learning in Cognitive IoT
Description
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Explains integration of Machine Learning in IoT for building an efficient decision support system
Covers IoT, CIoT, machine learning paradigms and models
Includes implementation of machine learning models in R
Help the analysts and developers to work efficiently with emerging technologies such as data analytics, data processing, Big Data, Robotics
Includes programming codes in Python/Matlab/R alongwith practical examples, questions and multiple choice questions
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Persons
Dr. Aaisha Makkar received her Bachelor of Computer Applications degree from Panjab University, Chandigarh, India in 2010 and Master of Computer Applications from National Institute of Technology (NIT), Kurukshetra, India in 2013. She had worked as an Assistant Professor in Computer Application Department of NIT, Kurukshetra. She obtained her Ph.D. degree from Computer Science and Engineering Department in Thapar Institute of Engineering &Technology, Patiala (Punjab), India. Her research interests in data mining, web mining, algorithms, machine learning and Internet of thing. She has experience of more than 10 years in teaching and research. He has more than 10 research publications in good journals of repute.
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