Bayesian Networks Jobs in Rutherford, NJ (NOW HIRING)

Bayesian networks, natural language processing, neural networks, data clustering, and segmentation Functionally proficient working with both structured and unstructured data Programming Languages:

Bayesian networks, natural language processing, neural networks, data clustering, and segmentation Functionally proficient working with both structured and unstructured data Programming languages:

Experience with Bayesian networks or causal modeling * Knowledge of portfolio risk aggregation techniques Peraton Overview Peraton is a next-generation national security company that drives missions ...

Experience with Bayesian networks or causal modeling * Knowledge of portfolio risk aggregation techniques Peraton Overview Peraton is a next-generation national security company that drives missions ...

You will move beyond simple predictive models to build transformative algorithmic solutions using Bayesian Black Box optimization, Contextual Bandits, and Deep Q-Networks (DQN/DDQN). The problem ...

You will move beyond simple predictive models to build transformative algorithmic solutions using Bayesian Black Box optimization, Contextual Bandits, and Deep Q-Networks (DQN/DDQN). The problem ...

Topics of interest include data-driven modeling via nonlinear parametrizations such as deep networks, dynamical systems and control, Bayesian inference and generative modeling, and randomized linear ...

... Bayesian methods, variational inference methods, and neural networks. * Demonstration of deep knowledge of large language models and deep neural networks for practical applications (e.g. NLP, vision ...

... Bayesian methods, variational inference methods, and neural networks. * Demonstration of deep knowledge of large language models and deep neural networks for practical applications (e.g. NLP, vision ...

... Bayesian methods, variational inference methods, and neural networks. * Demonstration of deep knowledge of large language models and deep neural networks for practical applications (e.g. NLP, vision ...

Bayesian models and deep neural networks), optimization methods, and other ML techniques to different applications in business and engineering. Routinely build and deploy ML models on available data.

Bayesian models and deep neural networks), optimization methods, and other ML techniques to different applications in business and engineering. Routinely build and deploy ML models on available data.

Train, evaluate, and productionize ML models for credit risk - including graph neural networks for relationship-aware default prediction, Bayesian/MRF frameworks for modeling correlated defaults, and ...

Train, evaluate, and productionize ML models for credit risk - including graph neural networks for relationship-aware default prediction, Bayesian/MRF frameworks for modeling correlated defaults, and ...

... modelling, Bayesian inference, and hypothesis testing in a financial markets context * Strong ... networks, regularization methods, dimensionality reduction) to financial prediction problems

... modelling, Bayesian inference, and hypothesis testing in a financial markets context * Strong ... networks, regularization methods, dimensionality reduction) to financial prediction problems

... modelling, Bayesian inference, and hypothesis testing in a financial markets context * Strong ... networks, regularization methods, dimensionality reduction) to financial prediction problems

... networks, to solve complex challenges across the organization. Guide a team of MLEs across ... Bayesian contextual multi-armed bandits Growth: Foster long-term growth through data-driven ...

... Bayesian Inference, Markov Chain Monte-Carlo (MCMC). * Familiarity with common advanced marketing ... Neural Networks is a plus. Additional Information Our Publicis Groupe motto "Viva La Difference ...

... ensembles, neural networks, feature selection/reduction, parameter tuning, etc.), however ... Bayesian models, collaborative systems, MABs, and reinforcement learning) · Experience writing ...