Advestismars 21Speed Cubing for Machine Learning - Episode 3N. Morizet, Towards Data Science, March 22nd, 2021.

Advestismars 18TransparentPath: A Python package to manage paths on Google Cloud StorageAre you used to pathlib’s Path objects and frustrated when using GCSFileSystem objects ? The TransparentPath package is made for you.

Advestisfévr. 17How to deal with overlapping rules?V. Margot, Towards Data Science, February 17th, 2021.

Advestisfévr. 17Applying separative non-negative matrix factorization to extra-financial dataP. Fogel, C. Geissler, P. Cotte and G. Luta. BM&I Journal. February 2021.

Advestisjanv. 26Consistent Regression using Data-Dependent CoveringsV. Margot, JP. Baudry, F. Guilloux and O. Wintenberger. Electronic Journal of Statistics 15(1)1743 - 1782, 2021.

Advestis18 déc. 2020How to choose the best model?V. Margot, Towards Data Science, December 18th, 2020.

Advestis26 nov. 2020Accelerating Pandas concatenationP. Cotte, Towards Data Science, November 26th, 2020.

Advestis21 nov. 2020How to measure interpretability?V. Margot, Towards Data Science, November 21st, 2020.

Advestis20 nov. 2020Speed Cubing for Machine Learning - Episode 2N. Morizet, Towards Data Science, November 20th, 2020.

Advestis1 oct. 2020Interpretable Algorithms for Regression: Theory and ApplicationsV. Margot, PhD Thesis, Sorbonne Université, October 2nd, 2020.

Advestis1 oct. 2020Using Non-negative matrix factorization to classify companiesC. Geissler, Towards Data Science, October 1st, 2020.

Advestis23 sept. 2020A rigorous method to compare interpretability of rule-based algorithmsV. Margot, Preprint, 2020.

Advestis15 sept. 2020Speed Cubing for Machine Learning - Episode 1N. Morizet, Towards Data Science, September 15th, 2020.

Advestis15 juil. 2020Introduction to Generative Adversarial NetworksN. Morizet, Advestis Tech Report, July 2020.

Advestis27 avr. 2020A self-learning and interpretable investment strategy based on extra-financial dataC. Geissler, V. Margot, Chaire DAMI, September 2020.

Advestis1 déc. 2019Tomographic weak lensing bispectrum: a thorough analysis towards the next gen of galaxy surveysM. Rizzato. Monthly Notices of the Royal Astronomical Society, vol 490, issue 4, pp.4688-4714, December 2019.

Advestis25 sept. 2019Non-Gaussian cosmology: theoretical and statistical challenges for model galaxy surveysM. Rizzato. PhD Thesis, 26th September 2019, Institut d'Astrophysique de Paris.

Advestis16 sept. 2019The WA105 project: a prototype of double phase liquid argon time projection chamberP. Cotte. Thèse de Doctorat, 2019, Université Paris-Saclay.

Advestis27 mars 2019Apprentissage supervisé pour la sélection d'actionsC. Geissler, V. Margot, Chaire DAMI, March 27th 2019.

Advestis22 oct. 2018ESG investments: Filtering versus Machine Learning approachesC. Geissler, V. Margot et al. The 7th Public Investors Conference, October 22nd, 2018, Rome, Italy.