Inria Saclay, batiment Alan Turing


Data Science and Natural Language Processing

INRIA (French Institute for Research in Computer Science and Automation)
(Institut national de recherche en informatique et en automatique)


Saclay and Paris, France

Monday July 16 - Friday Aug 3, 2018

Cit internationale universitaire de Paris




Summary

The summer school aims to give a self-contained introduction to the fundamental concepts and important developments in data science and natural language processing. The target audience are students having completed advanced classwork in mathematics, statistics, or computer science.



Organizing Institution

Inria, the French National Institute for computer science and applied mathematics, promotes scientific excellence for technology transfer and society. Graduates from the world's top universities, Inria's 2,600 employees rise to the challenges of digital sciences. Research at Inria is organised in project teams which bring together researchers with complementary skills to focus on specific scientific projects. With this open, agile model, Inria is able to explore original approaches with its partners in industry and academia and provide an efficient response to the multidisciplinary and application challenges of the digital transformation. The source of many innovations that add value and create jobs, Inria transfers expertise and research results to companies (startups, SMEs and major groups) in fields as diverse as healthcare, transport, energy, communications, security and privacy protection, smart cities and the factory of the future.



Lecturers

Jing-Rebecca Li (INRIA-Saclay, CMAP Ecole Polytechnique, France)

Zoltan Szabo(CMAP Ecole Polytechnique, France)

Balazs Pinter (Etvs Lornd University, Hungary)



Scientific program

Background Material (linear algebra and convex optimization)

Data Science (applications, kernels, classification, kernel PCA/CCA, dependency measures/distances, hypothesis testing, acceleration schemes.)

Natural Language Processing (NLP) (Foundations of NLP: corpora, tokenization, stemming, term vector representations, POS tagging, parsing, language models, stopwords, text classification and clustering, dialogue systems. Deep learning in NLP: recurrent neural networks, LSTM, word vector representations, end-to-end dialogue systems.)

Professional advising (CV, resume, PhD scholarship application.)



Cultural program

French language and culture classes

Guided visits of Paris (July 21 and July 28, 2018)



Lodging

The students will be lodged at Cit internationale universitaire de Paris 17, bd Jourdan, 75014 Paris. Breakfasts will be provided.

Lodging starts on Sunday July 15 and ends on Saturday Aug 4, 2018



Transportation

Pick up service provided at Charles de Gaulles airport in Paris on Sunday July 15 to lodging

5 zones transportation card for Paris and surrounding regions will be provided for each student



Practical details

Location of scientific classes: Saclay (Inria building Alan Turing). Lunches will be provided.

Location of French language and culture classes: Paris. Lunches will be provided.



Schedule

Scientific lectures: 3 days a week in Saclay.

Homework and projects: 2 half-days a week in Paris.

French language and culture classes: 2 half-days a week in Paris.

Weekend guided visits in Paris: July 21 and July 28, 2018.



Price: 2500 euros

Included Lodging in Paris from July 15 - Aug 4.
Breakfasts from July 16 - Aug 4.
Lunches Monday - Friday from July 16 - Aug 3.
Guided visits in Paris on July 21 and July 28.
Pick up service at Charles de Gaulles airport in Paris on Sunday July 15 to lodging.
5 zones transportation card for Paris and surrounding regions.
Scientific classes.
French language and culture classes.
Not included

Dinners (the students can use the common kitchens to cook in the lodging).
Lunch on the weekends.
Transportation away from lodging at the end of the program.



Summer School "L'cole d't France Excellence" 2017 => Mathematical and computational methods for life sciences




Jing-Rebecca Li
Last modified: Fri Dec 8 07:57:51 GMT 2017