Nidhin Pattaniyil
5 SlideShares 4 Followings
Personal Information
Organization / Workplace
Greater New York City Area United States
Occupation
Machine Learning Engineer
Industry
Technology / Software / Internet
Website
http://npatta01.github.io/
Contact Details
Tags
torchserve transformers machine learning production deep learning bert pytorch spark log github beginner apache spark healthcare cartodb medicare python health lda metis gensim topic-modeling data science
See more
  • Presentations
  • Documents
  • Infographics
Latest Most Popular

Deep learning on mobile - 2019 Practitioner's Guide

Anirudh Koul • 4 years ago

Dr. Steve Liu, Chief Scientist, Tinder at MLconf SF 2017

MLconf • 6 years ago

Janani Kalyanam - Machine Learning to Detect Illegal Online Sales of Prescription Opioids

MLconf • 5 years ago

Interpretability beyond feature attribution quantitative testing with concept activation vectors (tcav)

MLconf • 5 years ago

Entity Extraction for Product Searches - Radu Gheorge & Rafał Kuc, Sematext

Lucidworks • 5 years ago

Making Reddit Search Relevant and Scalable - Anupama Joshi & Jerry Bao, Reddit

Lucidworks • 5 years ago

Deep Learning for Unified Personalized Search and Recommendations - Jake Mannix, Lucidworks

Lucidworks • 5 years ago

Tanvi Motwani, Lead Data Scientist, Guided Search at A9.com at MLconf ATL 2016

MLconf • 7 years ago

Query Understanding: A Manifesto

Daniel Tunkelang • 7 years ago

Better Search Through Query Understanding

Daniel Tunkelang • 9 years ago

Image-Based E-Commerce Product Discovery: A Deep Learning Case Study - Denis Kamotsky & Peter Gazaryan, Macy's Inc

Lucidworks • 5 years ago

Learning to Rank: From Theory to Production - Malvina Josephidou & Diego Ceccarelli, Bloomberg

Lucidworks • 5 years ago

Identifying Parts of an E-commerce Query on Target.com Using Search Logs - Vijayender Reddy & Vidhya Sundaram, Target

Lucidworks • 5 years ago

Vectors in Search – Towards More Semantic Matching - Simon Hughes, Dice.com

Lucidworks • 5 years ago

How to Build a Semantic Search System

Trey Grainger • 5 years ago

100 Billion Documents And Counting: Rebuilding Message Search at Slack - Josh Wills & John Gallagher, Slack

Lucidworks • 5 years ago

Explainable Machine Learning

Gabriel Cypriano Saca • 6 years ago

Kubernetes best practices

Bill Liu • 6 years ago

Intelligent Thumbnail Selection

Kamil Sindi • 7 years ago

Jeremy Schiff, Senior Manager, Data Science, OpenTable at MLconf NYC

MLconf • 9 years ago