Friday, 31 March 2017
CRI, Montparnasse tower
Link to tickets
See the leaflet
-
PhD:
- transverable skills
- coding
- focused on specific field
-
QuantMetry
- data consulting start-ups
- very diverse projects
- Python
- R&D, recruting, presentations
- LinkedIn: https://www.linkedin.com/in/nthiebaut/
- PhD:
- Computational models of early phonological acquisition
- “Psychocomputational linguistics”
- Unsupervised machine learning (fun!)
- NLP @Thunken
- NLP consulting /own products
- IronSift : Strategic and competitive intelligence
Big data is like teenage sex: everyone talks about it, nobody really knows how to do it, everyone thinks everyone else is doing it, so everyone claims they are doing it... Dan Ariely, Duke University
- email: luc@thunken.com
- LinkedIn: https://www.linkedin.com/in/lucboruta/
- reinforcement learning
- Dynamic programming
- Temporal Differences (TD-lambda)
- Q-Learning algorithm and its extensions (SARSA, eligibility traces)
- Parametric approximation techniques (Policy Gradient, Least Squares
- Deep reinforcement learning AlphaGo Policy Iteration)
- supervised learning
- unsupervised learning
- Markov Chain Monte Carlo (MCMC) simulation methods
- network models
Opportunities for internships for MS/MEng students :
- 4 to 6 months duration
- Schedule: application from November for the forthcoming year Opportunities for apprenticeship, PhD programs (CIFRE) and post-docs Opportunities for permanent positions: Research Engineer/Scientist
- email: stephane.senecal@orange.com
- LinkedIn: http://fr.linkedin.com/in/stephanesenecal
If you have any question, please discuss on slack: https://cri-data-science-club.slack.com/ (with @cri-paris.org, @curie.fr or @pasteur.fr)
Otherwise send invitation request to: urszula.czerwinska@cri-paris.org