1 to 2 of 2 Permanent Dimensionality Reduction Jobs

structures, working with structured, semi-structured and unstructured formats. proficiency - very comfortable employing statistical techniques to solve commercial problems, including, hypothesis testing, feature transformations, dimensionality reduction, correlation analysis, regression analysis (multiple linear and logistic), time series analysis and Bayesian methods. skills - adept in Python and its core data more »

algorithms. Demonstrated knowledge and experience with Tensor Network based numerical simulation methods is a plus, with a focus on ML, optimization, function approximation and dimensionality reduction. Familiarity with Tensor Network libraries and/or relevant functions (ITensor, cuTensorNet, TeNPy, tntorch, scikit-tt or other toolboxes) is a plus. No more »