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Deep learning with TensorFlow on Elastic MapReduce

By: Jerry Lam, Machine Learning Engineer Some of the most successful machine learning models we built in Paytm Labs rely on deep learning techniques using TensorFlow library. Google has released distributed TensorFlow in 2016 to train deep learning models that are too...

Real-time Personalization Engine – Lessons Learned

This is the fourth blogpost in our series about real-time personalization at Paytm. In this blogpost we will go over the major lessons we learned and experiences we had from architecting, building, deploying, and managing the personalization engine. Cache is Not Free...

Real-time Personalization Engine – Production and Deployment

This is the third blog post in our blog series where we explain the physical infrastructure for our real-time personalization engine and how we deploy, manage, and monitor our infrastructure. Production Environment In designing and building our production environment...

Real-time Personalization Engine – Architecture and Technology Stack

This is the second blog in our blog series explaining how we serve millions of recommendations to Paytm users everyday. In this blog we are giving you a view into the architecture of the personalization engine along with sharing some learnings for tech choices. System...

Real-time Personalization Engine Blog Series – Teaser

Our previous posts provided an overview of the machine learning models that power the recommendations at Paytm and the improvement we achieved with a semi-deep learning model.  This series of blog posts focuses on how our data and platform engineers built the systems...

A Journey to Semi-Deep Learning at Paytm

Author: Sagun B. At Paytm we focus on our customers above all else. When the customer is happy, we are happy. The Personalization team takes care of user satisfaction by ensuring that we are serving them the right product at the right time and location. For those of...

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