Predictive modeling for device failure prediction

In this session, Thomas discusses enterprise analytics, how analytics is impacting our daily lives and various roles and career paths. He also demonstrates predictive analytics in action by discussing a case study on battery failure prediction. R is used for building the predictive model and interpreting the output.

By: Thomas Joseph

Thomas is the Senior Data Scientist at Aspire Systems. His expertise includes Linear/Nonlinear/Ensemble Algorithms, Deep learning and Neural Networks, Natural Language processing and Image recognition. He is proficient with a number of tools & technologies such as R, Python Deep learning (Tensor flow, Keras), Matlab, Scala. He completed his Masters from IIT Delhi.

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