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Why Machine Learning Is The Right Fit For Anomaly Detection: Interview With Siddharth Bhatia

“Anomaly detection has great significance in detecting fake profiles in Social Networks like Twitter, Facebook, Amazon reviews, and even financial frauds.” For this week’s ML practitioner’s series, Analytics India Magazine got in touch with Siddharth Bhatia, who is into machine learning research at National University of Singapore (NUS). His work focuses majorly on Streaming Anomaly Detection. At NUS, he is supported by a President’s Graduate Fellowship. He has also been previously recognised as a young researcher in the ACM Heidelberg Laureate Forum. In this interview, Bhatia will talk about his research and shares a few tips for beginners. AIM:How important is a PhD in ML? Siddharth: After completing the masters in Computer Science from BITS Pilani, I started my Ph.D.
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Picture of Ram Sagar
Ram Sagar
I have a master's degree in Robotics and I write about machine learning advancements.
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