Search results for Elizabeth Elhassani – Director, Enterprise Analytics & Insights, LexisNexis at MLconf ATL

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= Ross Goodwin | MLconf NYC | March 24, 2017 @rossgoodwin // rossgoodwin.com // narratedreality.com Actual English Word or Invented Gibberish? FAKE FAKE REAL FAKE “Hey,…

1. Beyond Collaborative Filtering: ML & Recommendations at Meetup Evan Estola Machine Learning Engineer Meetup.com [email protected] @estola 2. Meetup what are you 3. Why…

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1. Clustering with Spark Sandy Ryza / Data Science / Cloudera 2. Me ● Data scientist at Cloudera ● Recently lead Apache Spark development at Cloudera ● Before that,…

Building Machine Learning Applications with Sparkling Water MLConf 2015 NYC Michal Malohlava and Alex Tellez and H2O.ai TBD Head of Sales Distributed Systems Engineers Making
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Slide 1 Hacking GPUs for Deep Learning MLConf New York Jeff Johnson Facebook AI Research [email protected] 1 Deep (convolutional) Neural Networks Revolution in machine learning…

All the data and still not enough! Claudia Perlich Chief Scientist @claudia_perlich Predictive Modeling: Algorithms that Learn Functions Income Age Buy 123,000 30 yes 51,100…

‹#›© Cloudera, Inc. All rights reserved. Juliet Hougland Data Scientist @j_houg Matrix Decomposition at Scale ‹#›© Cloudera, Inc. All rights reserved. The Singular…

Scalable Machine Learning at Yahoo Andy Feng Nov 14, 2014 My Background § Current ›  VP Architecture, Yahoo ›  Committer, Apache Storm ›  Contributor, Apache…

1. Factorization Models & Polynomial Regression Factorization Machines Applications SummaryFactorization MachinesSteen RendleCurrent aliation: Google Inc.Work was done…

1. Factorization Models & Polynomial Regression Factorization Machines Applications SummaryFactorization MachinesSteen RendleCurrent aliation: Google Inc.Work was done…

MLconf ATL! Sept 23rd, 2016 Chris Fregly Research Scientist @ PipelineIO Who am I? Chris Fregly, Research Scientist @ PipelineIO, San Francisco Previously, Engineer @ Netflix,…

Machine Intelligence at Google Scale ML APIs, TensorFlow and Cloud ML +Kazunori Sato @kazunori_279 Kaz Sato Staff Developer Advocate Tech Lead for Data & Analytics Cloud…

The Future Of Kaggle Where we came from and where we’re going kaggle.com/benhamner @benhamner Our mission is to help the world learn from data @benhamner We got started…

Copyr i g ht © 2012, SAS Ins t i tu t e Inc . A l l r ights reser ve d . DETERMINING THE NUMBER OF CLUSTERS IN A DATASET USING ABC I. KABUL, P. HALL, J. SILVA, W. SARLE,…

Contact: Ben Beinecke | [email protected] | 646-918-6435 | Copyright © 2015 Scaling Your Machine Learning MLConf 2015 NYC 2 Innovation relies on iteratively testing ideas quickly…

Towards Scaling Video Understanding Serena Yeung YouTube TV GoPro Smart spaces State-of-the-art in video understanding State-of-the-art in video understanding Classification…

1. Optimal Learningfor Fun and Profit with MOEScott ClarkMLconf SF 201411/14/14Joint work with: Eric Liu, Peter Frazier, Norases Vesdapunt, Deniz Oktay, JaiLei [email protected]

BAYESIAN GLOBAL OPTIMIZATION Using Optimal Learning to Deep Learning / AI Models Scott Clark [email protected] mailto:[email protected] mailto:[email protected] OUTLINE 1. Why…

1. We help you make smarter decisions Business Insight Solutions 2. Corporate Solutions Company Overview Business Insight Solutions LexisNexis is a multi-billion dollar information…