Archive for data science

data science in La X

Posted in Books, Kids, pictures, Statistics with tags , , , , , , , , , , , , on January 25, 2022 by xi'an

As the [catholic] daily La X has a special “Sciences&éthique” report on data science and scientists, my mom [a long time subscriber] mailed me [by post] the central pages where it appeared. The contents are not great, focusing as often on a few sentences from  and missing on the fundamental limitations of self-learning algorithms. As an aside, the leaflet contained a short interview by Jean-Stéphane Dhersin, who is head of the CNRS ModCov19 centralising platform [and anecdotally a neighbour] on the notion that a predictive model in epidemiology can be both scientific and imprecise.

Data Science & Machine Learning book free for download

Posted in Statistics with tags , , , , , , , on November 30, 2020 by xi'an

what have rough paths got to do with data science?

Posted in Statistics with tags , , , , , , on November 22, 2019 by xi'an

statistics: a data science for the 21st century

Posted in Statistics with tags , , , , , on May 15, 2018 by xi'an

Peter

a postdoc with Christian Robert

Posted in Statistics with tags , , , , , , on April 12, 2018 by xi'an

[Here is another call for a postdoctoral position in Lyon, under the supervision of my homonym Christian Robert:]

Post-Doctoral Position in Data Science and Machine Learning

Chair Data Analytics and Models for Insurance – 20182020

DAMI is a research chair funded by BNP Paribas Cardif, and is interested in problems related to Data Science and Models for Insurance.

Description

A post-doctoral fellowship in the areas of data science and machine learning is available at the DAMI research chair at the Claude Bernard Lyon 1 University. The post-doctoral fellow, in collaboration with the industry partner, will conduct research of advanced analytics and machine learning algorithms for actuarial sciences and insurance, and in particular, for improving risk-based pricing, and for developing predictive analytics.

The position is for one year (possibly two years), starting in September/October 2018.

Required Professional Expertise

–        A recent PhD (received within the past 5 years) in Computer Science, Computer Engineering, Applied Statistics and Mathematics, or related fields.

–        Excellent research capabilities and competitive development skills

–        Strong knowledge/expertise in machine learning and data analytics including data pre-processing, model building, and model evaluation

–        Experience with Python and/or R

Interested candidates are invited to submit their CV, list of publications, and contact information of two references to Christian ROBERT at univ-lyon1.fr.

%d bloggers like this: