Gilad Barkan
1 SlideShare 36 Followers 20 Followings
Personal Information
Organization / Workplace
Netanya Area, Israel, Select a State Israel
Occupation
Data Science Team Leader
Industry
Technology / Software / Internet
Website
http://1p1e3.blogspot.com
About
For the last five years I'm thrilled about Data Science and Big Data, doing some cool stuff within various machine learning based products. Prior to my data science era, I have 15 years of experience in algorithms and SW development, both in industry and academy, throughout diverse fields such as computer vision, image analysis, machine learning, data mining, information retrieval, text analysis, NLP, recommendation systems and www / mobile search.
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machine learning factorization map maximum a posteriori probability bayes’ theorem bayesian inference pgm probabilistic graphical model cpt curse of dimensionality bbn bayesian belief networks data mining big data data analysis data science hadoop mapreduce nosql in-memory db resolutions high definition black-bars pixel aspect ratio upscale sd hd crop stretch frame aspect ratio downscale par far
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Presentations

(1)

Bayesian Belief Networks for dummies

9 years ago • 55976 Views

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(4)
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When Deep Learning Meets Recommender System

Asi Messica • 4 years ago

Calibration of ML Models - pycon

Inbar Naor • 5 years ago

From Spark to Elasticsearch and Back - Learning Large Scale Models for Content Recommendation

Sonya Liberman • 6 years ago

Scaling out logistic regression with Spark

Barak Gitsis • 8 years ago
Personal Information
Organization / Workplace
Netanya Area, Israel, Select a State Israel
Occupation
Data Science Team Leader
Industry
Technology / Software / Internet
Website
http://1p1e3.blogspot.com
About
For the last five years I'm thrilled about Data Science and Big Data, doing some cool stuff within various machine learning based products. Prior to my data science era, I have 15 years of experience in algorithms and SW development, both in industry and academy, throughout diverse fields such as computer vision, image analysis, machine learning, data mining, information retrieval, text analysis, NLP, recommendation systems and www / mobile search.
Tags
machine learning factorization map maximum a posteriori probability bayes’ theorem bayesian inference pgm probabilistic graphical model cpt curse of dimensionality bbn bayesian belief networks data mining big data data analysis data science hadoop mapreduce nosql in-memory db resolutions high definition black-bars pixel aspect ratio upscale sd hd crop stretch frame aspect ratio downscale par far
See more