A few years back, you would have not heard the word "scalable" in machine learning parlance. The reason was mainly attributed to the lack of infrastructure, data, and real-world application. Machine learning was being much talked about in the research community of academia or in well-funded industry research labs. A prototype of any real-world application using machine learning was considered a big feat and a demonstration of breakthrough research. However, time has changed ever since ...
© Karthik Ramasubramanian and Abhishek Singh 2017
Karthik Ramasubramanian and Abhishek SinghMachine Learning Using R10.1007/978-1-4842-2334-5_99. Scalable Machine Learning and Related Technologies
Karthik Ramasubramanian1 and Abhishek Singh1
(1)
New Delhi, Delhi, India
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