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Greg Postalian-Yrausquin

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Greg Postalian-Yrausquin
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Towards AI

Neural Networks: Basic Theory and Architecture types

In this story, I would like to attempt to review and explain, at a high level and trying to use simple language, the theoretical…

Jun 13

Neural Networks: Basic Theory and Architecture types

Jun 13

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Greg Postalian-Yrausquin
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Towards AI

Using NLP (Doc2Vec) and Neural Networks (with Keras): Removing Hate Speech and Offensive Tweets

This is a great example of how more than one ML step can be used to achieve a goal.

Jun 3

Using NLP (Doc2Vec) and Neural Networks (with Keras): Removing Hate Speech and Offensive Tweets

Jun 3

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Greg Postalian-Yrausquin
in
Towards AI

Convolutional Neural Networks in PyTorch: Image Classification

In this exercise I will use the PyTorch package to build a convolutional neural network with the intention of training a model to classify…

Jun 4

Convolutional Neural Networks in PyTorch: Image Classification

Jun 4

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Greg Postalian-Yrausquin
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Towards AI

Using Neural Networks with Pytorch to Predict fail of Automatic Recovery

This exercise is part of aproject implemented on a hardware system. The system has automatic doors that allow to be recovered when they…

Jun 3

Using Neural Networks with Pytorch to Predict fail of Automatic Recovery

Jun 3

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Greg Postalian-Yrausquin
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Towards AI

NLP, NN, Time series: Is it possible to predict oil prices using data from Google Trends?

Nov 7, 2023

NLP, NN, Time series: Is it possible to predict oil prices using data from Google Trends?

Nov 7, 2023

Greg Postalian-Yrausquin
in
Towards AI

Understanding the Transformer Architecture

Reviewing what has been published about the Transformer (which is a lot) we can see a ton of cases and examples of applications for this…

Aug 29

Understanding the Transformer Architecture

Aug 29

Greg Postalian-Yrausquin
in
Towards AI

Bayesian analysis and decision theory: application to determine a decision point for classification…

A dilemma often presented in classification problems where the output is a number is determining the cutout point between the categories…

Jul 18

Bayesian analysis and decision theory: application to determine a decision point for classification…

Jul 18

Greg Postalian-Yrausquin

Data visualization: Tableau / Power BI / QuickSight

In this article I will try to showcase examples of dashboards designed in Tableau, Power BI (part of the Microsoft ecosystem) and…

Jun 17

Data visualization: Tableau / Power BI / QuickSight

Jun 17

Greg Postalian-Yrausquin

Neural networks: encoder-decoder example (autoencoder)

The autoencoder is an architecture of neural networks that consists of the implementation of an Encoder network, which transforms the…

Jun 11

Neural networks: encoder-decoder example (autoencoder)

Jun 11

Greg Postalian-Yrausquin

GAN: training a Generative Adversarial Network for image generation

For this exercise I will train a Generative Adversarial Network to general images based on samples from German traffic signals.

Jun 10

GAN: training a Generative Adversarial Network for image generation

Jun 10

Greg Postalian-Yrausquin

Greg Postalian-Yrausquin

Professional with over 10 years of experience working with data, Azure Certified Data Engineer and Data Scientist. Passionate about telling stories with data

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