Machine Learning 3

Machine Learning: What is it good for ?
Franck Bardol, [email protected]
Igor Carron, [email protected]
September 17th, 2013
What is **not** Machine
Learning ?
• Tools: Databases, etc...
• Languages: Python, Java, LISP, Clojure, functional
programming,....
• Frameworks
• Big Data
• High Performance Computing, Hadoop, GraphLab....
• Compressive sensing, ....
From Wikipedia
• "...Machine learning, a branch of artificial
intelligence, concerns the construction and
study of algorithms and systems that can
learn from data. In general, Machine
Learning algorithms process large amounts
of data, discover patterns in data, and
construct Predictive models for a desired
task...."
We've heard that story
before!
• AI winter 1990's
Avant, on avait
• Neural networks
• Fuzzy logic
• .....
Mais ça, c'était avant !
• Neural Networks (Deep Learning)
• Fuzzy logic (Bayesian logic, MCMC,....)
• ....
• Moore's Law
Why ?
• Genome sequencer
Law
• "new" math and
statistics (small #
observations, large #
variables)
• and....
...the ability to prove its
worthiness
... the ability to prove
worthiness
Examples
• Engineering
• Search engines,
• web mining, click mining, Ad placement, RT Bidding
• Computer vision, image understanding, situational awareness
• Natural language processing, Machine Translation
• Anti-spam,
• Learning analytics
• Financial trading, HFT
• Recommender systems....
• Autonomous systems
• Scientific investigations: astronomy, genomics,...
Where are we, right
now?
Pourquoi ces
meet-ups?
• Pour les débutants, permettre de voir ce qui est faisable au de-là
de considérations technologiques. Cette "science" est nouvelle, tout
le monde souffre du syndrôme de l'imposteur à des degrés divers.
• Pour les experimentés
• Apprendre
• Meilleure connaissance des avancées algorithmiques
• Pour tous
• Dévelopement d'une culture parisienne et française des données
et des algorithmes d'apprentissages.
Contact us if you want to
give a talk or host a meetup
• Franck Bardol, [email protected]
• Igor Carron, [email protected]