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Found 7 papers, 3 papers with code
A survey of bias in Machine Learning through the prism of Statistical Parity for the Adult Data Set
Applications based on Machine Learning models have now become an indispensable part of the everyday life and the professional world.
Can everyday AI be ethical. Fairness of Machine Learning Algorithms
Combining big data and machine learning algorithms, the power of automatic decision tools induces as much hope as fear.
Wikistat 2.0: Educational Resources for Artificial Intelligence
Big data, data science, deep learning, artificial intelligence are the key words of intense hype related with a job market in full evolution, that impose to adapt the contents of our university professional trainings.
Confidence Intervals for Testing Disparate Impact in Fair Learning
We provide the asymptotic distribution of the major indexes used in the statistical literature to quantify disparate treatment in machine learning.
Big Data analytics. Three use cases with R, Python and Spark
Management and analysis of big data are systematically associated with a data distributed architecture in the Hadoop and now Spark frameworks.
Review and Perspective for Distance Based Trajectory Clustering
Using clustering technics based on the choice of a distance between the observations, we first provide a comprehensive review of the different distances used in the literature to compare trajectories.
Statistique et Big Data Analytics; Volumétrie, L'Attaque des Clones
This article assumes acquired the skills and expertise of a statistician in unsupervised (NMF, k-means, SVD) and supervised learning (regression, CART, random forest).
