InfoQ Homepage scikit-learn Content on InfoQ
News
RSS Feed-
Machine Learning Systems Vulnerable to Specific Attacks
The growing number of organizations creating and deploying machine learning solutions raises concerns as to their intrinsic security, argues the NCC Group in a recent whitepaper (Practical Attacks on Machine Learning Systems).
-
Scikit-learn 1.0 Supports Spline Transformers, Quantile Regression and Improved Plotting API
Scikit-learn, the popular Python-based machine learning (ML) library, has released version 1.0. Although the library has been stable for some time, and the release contains no breaking changes, the project maintainers opted for a major version revision to signal to users that the software is mature and production-ready.
-
How the Sequence of Characters in a Name Can Predict Race and Ethnicity
Gaurav Sood, Principal Data Scientist at Microsoft, recently spoke at the AnacondaCon 2019 Conference on how to use the sequence of characters in a person's name to predict that person's race and ethnicity, using machine learning techniques.
-
AFK-MC² Algorithm Speeds up k-Means Clustering Algorithm Seeding
“Fast and Probably Good Seedings for k-Means” by Olivier Bachem et al. was presented on 2016’s Neural Information Processing Systems (NIPS) conference and describes AFK-MC2, an alternative method to generate initial seedings for k-Means clustering algorithm that is several orders of magnitude faster than the state of art method k-Means++.