Badri Narayan Bhaskar

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My expertise is in the research, design and development of scalable Machine Learning algorithms for mining massive datasets. My background is in Machine Learning, High Dimensional Statistics, Convex Optimization, Compressive Sensing, Digital Signal Processing and Natural Language Processing. I have extensive experience modeling, designing and implementing large scale supervised and unsupervised models for textual data in social media, advertising click prediction models, recommendation and ranking systems, as well as machine learning infrastructure.

machine learning atomic norm optimization convex optimization yahoo parameter server big data

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Badri Narayan Bhaskar

Präsentationen

Asha Kickoff

Scaling Machine Learning to Billions of Parameters - Spark Summit 2016

Decomposition and Denoising for moment sequences using convex optimization