Clermont'ech, 16 avril 2015

REAL-WORLD MACHINE LEARNING

Tony Pinville, CEO

@heuritechdata @tpinville

Steve Jurvetson, VC, Silicon Valley

"Big Data isn't actually interesting without machine learning"

WHAT IS MACHINE LEARNING ?making prediction from Data

APPLICATIONS IN BUSINESSForecast sales, customer churn, traffic, pricesPredict CTR and optimal bid price for online adsDetect network anomalies, fraud and spamsRecommend products, movies, musicText analysis

USE CASE : TEXT ANALYSIS

Deep learningWord EmbeddingsLearn the meaning of words from large text corpus

APPLICATION IN A REAL WORLD

Objectives :Qualify users using their web logsMatching CRM and web data

Data :500 websites23 millions Unique visitors100 Millions lines apache log files /day

MACHINE LEARNING LIBRARIES

startSoftware,ProductionSoftware,Production

Scikit-learn

mahout

Vowpal Wabbit

MLlib

H2O distributed

OpenCV/SpecificOpenNLP/Specific

Deeplearning4j Torch

Pylearn2/Theano

deep learning

H2O

R

Weka

Scikit-learn

NLTK/Specific

H2O

Graphlab

MLlib

distributed

Software,ProductionGeneral purpose ML:

RegressionClustering

Dim reductionClassification

Specific ML:Image Sound

NLP

Science,Proof of concept

One-shot problemData Science

Java

C/C++

Scala

R

Python

Main Language

Suivez toute notre actu sur

QUESTIONS ?Tony Pinville @heuritechdata

@tpinville

blog.heuritech.com