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Dave Cote, M.Sc.

Dave Cote, M.Sc.

·

Nov 18, 2022

Hybrid (multimodal) neural network architecture : Combination of tabular, textual and image inputs…

Can we simultaneously train both structured and unstructured data in the same neural network model while optimizing the same target ?

Hybrid (multimodal) neural network architecture : Combination of tabular, textual and image inputs…

Dave Cote, M.Sc.

·

May 24, 2022

Experimenting Confusion Matrix for Regression — A powerfull model analysis tool

Continuous data is measured while discrete data is counted… Is it possible to extend the use of confusion matrix for regression problems ?

Experimenting Confusion Matrix for Regression — A powerfull model analysis tool

Dave Cote, M.Sc.

·

Apr 4, 2022

Hands-On Advanced Deep Learning Time Series Forecasting with Tensors

There are billions of deep learning forecasting tutorials out there (exagerating a bit). So what’s special about this one?

Hands-On Advanced Deep Learning Time Series Forecasting with Tensors

Dave Cote, M.Sc.

·

Feb 8, 2022

RdR score metric for evaluating time series forecasting models

In this text, I will propose you an experimental technic to evaluate the performance of time series forecasting models but before, we will…

RdR score metric for evaluating time series forecasting models

Dave Cote, M.Sc.

·

Feb 8, 2022

Visualization trick for multivariate regression problems

In a univariate regression problem, it is easy to see the model decision function / how your model is generalizing the problem by doing a…

Visualization trick for multivariate regression problems

Dave Cote, M.Sc.

·

Feb 8, 2022

Made Easy — Mixture Density Network for multivariate Regression

In this article, I will first explain briefly what a MDN is and then give you the python code to make your own MDN model with only a few…

Made Easy — Mixture Density Network for multivariate Regression

Dave Cote, M.Sc.

Dave Cote, M.Sc.

Data Scientist in an insurance company. More than 10 years in Data Science and for delivering actionnable « Data-Driven » solutions.

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