Quentin Pleplé

TOMS 61 Women s Leather Viv Leather Emboss Sandal s Multi Tribal 657cc33




NA
Imported
With every pair of shoes you purchase, TOMS® will give a new pair of shoes to a child in need. One for One®.
The TOMS® Viv sandal will easily complement your summertime style.
Upper comes in a variety of materials that are stated in the color names.
Features embossed print detail along the straps.
Lightly cushioned leather insole for added underfoot comfort. Molded rubber outsole. Imported.Measurements: Weight: 8 oz Product measurements were taken using size 8.5, width B - Medium. Please note that measurements may vary by size.Weight of footwear is based on a single item, not a pair.
News

talk April 2016
Intervenant à Statlearn 2016 : Interactive Topic Modeling
Statlearn 2016

press March 2016
Portrait dans Clubic
Parcours de développeurs : pour embaucher, nous regardons peu les diplômes

talk February 2016
Présentation devant le club AgroEntrepreneurs : 5 ans de Short Edition

teaching January 2016
Cours de 4h d'introduction au Machine Learning à l'ESISAR

press January 2016
Interview sur la BBC
French Story Machines (You and Yours)

press January 2016
Portrait dans Ideamensch

TOMS 61 Women s Leather Viv Leather Emboss Sandal s Multi Tribal 657cc33 - unmeer-im-liberia.website


Quentin Pleplé – Co-Founder of Short Story Dispensers TOMS 61 Women s Leather Viv Leather Emboss Sandal s Multi Tribal 657cc33

talk December 2015
Présentation devant le groupe meetup Grenoble Data Science : Interactive Topic Modeling
Interactive Topic Modeling with LDA. Speaker : Quentin Pleplé

press October 2015
Interview sur BFM Business
Hello Startup : Big Datext, le prédicateur de succès des articles

teaching October 2015
Module de 20h de Machine Learning à l'EPSI

press October 2015
Interview sur Russia Today (chaîne de TV russe)
Short-story dispensers help people kill time

talk March 2015
Talk au Meilleur Dev de France : Les grandes tendances du Big Data en 2015

press July 2014
Article dans Le Figaro
Un algorithme pour juger de la qualité d'un livre

press July 2014
Article dans L'Express
Un algorithme pour déterminer la qualité littéraire d'un livre

press July 2014
Interview dans Quatre Sans Quatre
L'algorithme de sélection littéraire : interview de Quentin Pleplé, responsable du projet Short Edition

press July 2014
Interview dans Actualitté
Un algorithme français pour prédire la qualité littéraire d'un livre

press July 2014
Interview dans Yakwala
La vérité (du texte) et la délicatesse (de l'algo), kézako ? Une piste (encore une) avec Quentin Pleplé

press July 2014
Article dans Decideo
Le Big Data arrive dans l’édition : Short Edition développe l’algorithme de prédiction de la qualité littéraire

press July 2014
Interview sur NRJ
Short Edition, l'éditeur communautaire de la littérature courte

teaching April 2013
Design of Algorithms, Teaching Assistant pour Russell Impagliazzo, UC San Diego (Californie)

teaching January 2013
Discrete maths, Teaching Assistant pour Shachar Lovett et Cynthia Lee, UC San Diego (Californie)

teaching September 2012
Design of Algorithms, Teaching Assistant pour Sanjoy Dasgupta, UC San Diego (Californie)

TOMS 61 Women s Leather Viv Leather Emboss Sandal s Multi Tribal 657cc33 teaching April 2012
Design of Algorithms, Teaching Assistant pour Ramamohan Paturi, UC San Diego (Californie)

teaching January 2012
Design of Algorithms, Teaching Assistant pour Andrew Kahng, UC San Diego (Californie)

Big Data

Big Data et vie privée – February 2016

Ai-je assez de données pour faire du Machine Learning ? – February 2016

Faire du Big Data, par où commencer ? – February 2016

L'internet des objets va décupler le Big Data – February 2016

Le Hello World des Data Sciences – February 2016

On manque cruellement de Data Scientists – February 2016

La définition tarte à la crème : les 3 V du Big Data – February 2016

Qu’est ce qu’est le Big Data au juste ? – February 2016

Machine Learning

Using PMI For Topic Relevance – November 2013

Word relevance within a topic – November 2013

Word Distinctiveness And Saliency – November 2013

On Smoothing In Topic Coherence Measures – May 2013

Topic Coherence To Evaluate Topic Models – May 2013

Perplexity To Evaluate Topic Models – May 2013

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Probabilistic Topic Modeling – April 2013

Linear Topic Modeling – April 2013

Approximation Methods For Bayesian Inference – April 2013

Bayesian Inference – April 2013

Topic Modeling Bibliography – March 2013

Computer Science

Greedy Algorithms – June 2013

Dynamic Programming – June 2013

Divide and Conquer – June 2013

Dev

Hive : How To Create A Table From CSV Files in S3 – July 2015

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Install Python Packages On Elastic Beanstalk – May 2014

Install Phpredis On Elastic Beanstalk – May 2014

Install Node.js On Elastic Beanstalk – May 2014

Install APC On Elastic Beanstalk – May 2014

Color Apache Logs – May 2014

TOMS 61 Women s Leather Viv Leather Emboss Sandal s Multi Tribal 657cc33 - unmeer-im-liberia.website

Debugging Long MySQL queries cheatsheet – April 2014

Understand Composer Versions – April 2014

PHP: Collapsing Object In Var_dump – June 2013

APC warnings: M/G suffixes – June 2013

Deploy A Toy PHP Application On Pagoda Box – March 2013

Have Your Wordpress Static Files On Amazon S3 – March 2013

Change DocumentRoot For AppFog PHP Apps – March 2013

Deploy A Toy PHP Application On AppFog – March 2013

Deploy A New Wordpress Blog On AppFog – March 2013

Add Progress Bars To Your Python Loops – February 2013

How To Contribute To A Project On Github – November 2011

TOMS 61 Women s Leather Viv Leather Emboss Sandal s Multi Tribal 657cc33 Cloudstack Client Generator – August 2011

Wordpress On Dotcloud – July 2011

Archive Your Files Instead Of Deleting Them – July 2011

Get Excited With Wordpress Plugins – June 2011

Migration Script Of Todo Lists From Basecamp To Acunote – June 2011

Mashape PHP Library – June 2011

Homework API – June 2011

CloudStack PHP Client – June 2011

Basecamp Python Client – June 2011

Reverse-engineering Of Google Home Animations – June 2011

Geolocalize Someone By Sending Him An Email – April 2011

How To Make People Login Into Your Website With Their Google Account – April 2011

Symfony2

Sport Sandals & Slides Simple Environments In Silex – March 2013

Run Symfony2 On Appfog – March 2013

Facebook Like and Comments in Symfony2 – November 2011

Add verbosity to your Symfony2 commands – November 2011

Unit Testing Symfony2 Repositories – October 2011

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Compare Dates With Twig – September 2011

Migrate from sfGuard to FOSUserBundle – August 2011

Webprofilerbundleextra A Must Have Tool For Symfony2 Developers – July 2011

Code Faster Symfony2s Interactive Generators – July 2011

Facebook integration

Fetch Online Friends List With Facebook Graph Api – September 2011

Pre Fill A Form With Users Facebook Data – June 2011

How Many Times A URL Has Been Liked/Shared On Facebook – June 2011

Get And Use Facebook Offline_access Tokens – June 2011

Authenticate Users With Their Facebook Account – June 2011

Set Up Facebook Comments – April 2011

How To Get Your Facebook Id – April 2011

Misc

Proof By Strong Induction – March 2013

Le routage, comment ça marche ? – September 2010

Internet, comment ça marche ? – August 2010

ARP poisoning : sniffer une communication – July 2010

What Time Is It, Baby? – April 2010