Machine learning is used to make predictions from data by learning from large datasets. It has applications in business like forecasting sales, detecting fraud, and recommending products. One use case is using text analysis and word embeddings to qualify website users by learning the meaning of words from text corpora and matching customer records with website log data from 500 sites with over 23 million unique visitors and 100 million log lines daily.

1. Clermont'ech, 16 avril 2015
REAL-WORLD MACHINE LEARNING
Tony Pinville, CEO
@heuritechdata
@tpinville

2. Steve Jurvetson, VC, Silicon Valley
"Big Data isn't actually interesting without machine learning"

3. WHAT IS MACHINE LEARNING ?
making prediction from Data

4. APPLICATIONS IN BUSINESS
Forecast sales, customer churn, traffic, prices
Predict CTR and optimal bid price for online ads
Detect network anomalies, fraud and spams
Recommend products, movies, music
Text analysis

5. USE CASE : TEXT ANALYSIS
Deep learning
Word Embeddings
Learn the meaning of words from large text corpus

6. APPLICATION IN A REAL WORLD
Objectives :
Qualify users using their web logs
Matching CRM and web data
Data :
500 websites
23 millions Unique visitors
100 Millions lines apache log files /day

9. MACHINE LEARNING LIBRARIES
start
Software,
Production
Software,
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,
Production
General purpose ML:
Regression
Clustering
Dim reduction
Classification
Specific ML:
Image
Sound
NLP
Science,
Proof of concept
One-shot problem
Data Science
Java
C/C++
Scala
R
Python
Main Language

11. Suivez toute notre actu sur
QUESTIONS ?
Tony Pinville
@heuritechdata
@tpinville
blog.heuritech.com