Deepak Kumar

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I lead Relevance Engineering for Premium and Learning Data Products at LinkedIn. I am fortunate to be part of a team of outstanding data scientists and engineers who are developing personalized data products and contributing to our IP portfolio through research. Some of our recent projects include personalized course recommendations, insights data products that provide competitive intelligence around key economic graph entities (e.g., ranking applicants for a given job), and reserve prices for ad auctions, forecasting algorithms. My team and I have also been instrumental in powering the launch of new LinkedIn products (e.g., Profinder, a service provider marketplace that leverages our ass...

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Deepak Kumar

U.S. Technology Funding -- What's Going On?

Classification

A New Year in Data Science: ML Unpaused

How Google Works

The Hitchhiker's Guide to Machine Learning with Python & Apache Spark

Tutorial on People Recommendations in Social Networks - ACM RecSys 2013,Hong Kong

Digging into the Dirichlet Distribution by Max Sklar

SDEC2011 Essentials of Pig

24 Books You've Never Heard Of - But Will Change Your Life

From Zero to a Million Users - Dropbox and Xobni lessons learned

Bayesian Machine Learning - Naive Bayes

Webinar: Survival Analysis for Marketing Attribution - July 17, 2013

Mann Whitney U Test

Machine Learning in R

Presentation of Bassoum Abou on Stein's 1981 AoS paper

Startup DNA: the formula behind successful startups in Silicon Valley (updated May 5, 2017)

K-means, EM and Mixture models

Using R with Hadoop

Plotting data with python and pylab

Scipy, numpy and friends