Faizan Javed

32 Seguidores

3 SlideShares 32 Seguidores 21 Siguiendos

Interests & Expertise: 1) Data Science, Collective intelligence in the web domain (mining web data on the internet, large-scale machine learning), Big Data tools and techniques ( Hadoop, NoSQL datastores, high scalability architectures) 2) Research: Machine Learning, De-duplication/Entity Resolution, Entity Normalization, Semantic Web, Grammar Inference applications in software engineering and domain-modeling. 3) Entrepreneurship: Tech venture planning, market analysis, Angel/VC investing. I aspire to stay at the very cutting-edge and bring a good mix of solid computer science foundations, practical software design experience and business acumen.

data engineering data science machine learning web scalable

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Faizan Javed

Presentaciones

1st Birmingham Big Data Science Group meetup

3rd meetup - Intro to Amazon EMR

Practical machine learning

Recomendaciones

Mastering the VC Game presentation

Neural Learning to Rank

Evaluating the search experience: from Retrieval Effectiveness to User Engagement

KDD 2019 IADSS Workshop - Research Updates from Usama Fayyad & Hamit Hamutcu

Knowledge Integration in Practice

Deep Learning for Semantic Search in E-commerce

eBay Search Query Intent

Find it! Nail it!Boosting e-commerce search conversions with machine learning at scale

Spelling correction systems for e-commerce platforms

Taxonomies for E-commerce

Enhancing Information Retrieval by Personalization Techniques

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

Kaggle meetup #3 instacart 2nd place solution

Deep Learning at Instacart

DataEngConf SF16 - Recommendations at Instacart

Instacart

Data Science @ Instacart

Supply optimization instacart

Instacart_Presentation[1]

Learned Embeddings for Search and Discovery at Instacart

How does Instacart Works

Déjà Vu: The Importance of Time and Causality in Recommender Systems

Deep Learning for Personalized Search and Recommender Systems

Machine learning the high interest credit card of technical debt [PWL]

Digests for the book "Scalability Rules: 50 Principles for Scaling Web Sites"

Next generation linked in talent search

Business Applications of Predictive Modeling at Scale - KDD 2016 Tutorial

Tuning and Debugging in Apache Spark

Everyday I'm Shuffling - Tips for Writing Better Spark Programs, Strata San Jose 2015

(ISM208) The Science of Saving with AWS Reserved Instances