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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About

Deepak Kumar

Presentations

Red State Blue State Rich State Poor State Why Americans Vote The Way They Do

Fitting and understanding Multilevel Models-Andrew Gelman

Randy Pausch Time Management (2007)

Likes

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

NumPy and SciPy for Data Mining and Data Analysis Including iPython, SciKits, and matplotlib

Managing Crowdsourced Human Computation: A Tutorial

Crowdsourcing using Mechanical Turk: Quality Management and Scalability

Introduction to Bayesian Methods

Monte Carlo Statistical Methods

Monash University short course, part II

Monash University short course, part I

Reading Efron's 1979 paper on bootstrap

Reading the Lasso 1996 paper by Robert Tibshirani

Hastings paper discussion