48 months in the following Data Set Creation techniques including stratified sampling, correlation analysis, custom transformation development, feature scaling, and transformation pipelines; Artificial Intelligence methods, algorithms, and techniques; Machine Learning modeling development and implementation including ML supervised, semisupervised, and unsupervised algorithms like Linear Regression, Gradient Descend, Stochastic GD, SMVs Support Vector Machines, Decision Trees, and Random Forest, ANNs Artificial Neural Networks, Deep Neural Networks, and Convolutional Neural Networks; Data ingestioncleanup, unbiasedtesting, algorithm selection and testing; Machine Learning model validation implementation in production environments, and recurrent improvements that includes techniques like measuring RMSE Root Mean Square Error, or MAE Mean Absolute Error; and Python, numpy, pandas, matplotlib, scikitlearn, tensorflow. Telecommuting allowed.
Categories: eb3
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