Bayesian Networks Jobs in Rutherford, NJ (NOW HIRING)

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 ...

... cable networks AMC, BBC AMERICA, Independent Film Company, Sundance TV and We TV; and film ... Familiarity with Meridian or comparable Bayesian MMM frameworks * Substantial experience working ...

Python, Algorithms, Optimisation, NLP, Data Mining, Statistical Analysis, Neural Networks ... Bayesian inference) - ML & DS (e.g., dimensionality reduction, geometry of PCA / SVD and of L1 / L2 ...

Essential Functions: - Develop, implement and analyze bayesian / simulation-based inference algorithms and neural networks algorithms to estimate parameters in mixed-mode bursting-spiking neuronal ...

... Argo Workflows, Jenkins, Django, Bayesian machine learning methods, Git and GitHub and ... networks for chemistry; applied knowledge of Python to write data preprocessing scripts, train ...

... 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 ...

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 ...

... cable networks AMC, BBC AMERICA, Independent Film Company, Sundance TV and We TV; and film ... Familiarity with Meridian or comparable Bayesian MMM frameworks * Substantial experience working ...

... 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, geometric transformers, and latent encoders that capture physical symmetries and ... Experience with Bayesian deep learning techniques and uncertainty quantification. * Experience ...

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 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 ...

... 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 ...

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

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