MACHINE LEARNING FOR EXPLORATORY DATA ANALYSIS

by Kapil Sharma, Prof. Arvind Sharma, Dr. Deepak Motwani

Deep learning and large data are very dynamic, grooming and important research topics of today’s technology. they're contributing to the progress towards intelligent transportation like fully autonomous vehicles. Transportation generated massive amount of knowledge collected from multiple sources including road sensors, UAVs, probe, GPS, CCTV and incident reports. The collected data are highly needed to form serious traffic decisions like rerouting, safe-driving decision, etc. With this rich volume and velocity of knowledge , it's challenging to create reliable prediction models supported traditional electronic database and machine learning methods. Recently, big data, deep learning and reinforcement learning are new state-of-the-art data management and machine learning approaches which are of great interest in both academic research and industrial applications.

10 pages, Kindle Edition

Published November 20, 2020