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deep-learning

A collection of 6 posts

fastai

SPAM detection using fastai ULMFiT - Part 1: Language Model

Tutorial to fastai ULMFiT model for classification texts (and some of the theory behind it) 🤖📚

  • Pablo Casas
    Pablo Casas
3 min read
clustering

Jugando con las dimensiones: desde Clustering, PCA, t-SNE.... ¡hasta Carl Sagan!

👉 Actualización! 7/4/20 La nueva versión de este post con mejoras y comentarios sobre UMAP, acá: https://escueladedatosvivos.ai/blog/204650/jugando-con-las-dimensiones-clustering-pca-tsne-carl-sagan Jugando con las dimensiones ¡Hola! Este post es un experimento

  • Pablo Casas
    Pablo Casas
7 min read
deep-learning

How to create a sequential model in Keras for R

This tutorial will introduce the Deep Learning classification task with Keras. With focus on one-hot encoding, layer shapes, train & model evaluation.

  • Pablo Casas
    Pablo Casas
5 min read
machine learning

Sample size and class balance on model performance

Analyzing the relationship between the sample size and how it impacts on the accuracy in a classification model

  • Pablo Casas
    Pablo Casas
5 min read
learning

"I hate math!" - Education and Artificial Intelligence to find a meaning in what we do

Well, what you hate is the way that math was taught to you. That soup of equations, abstractions, and solutions to problems that we don’t know, It's hard to enjoy the things

  • Pablo Casas
    Pablo Casas
5 min read
clustering

Playing with dimensions: from Clustering, PCA, t-SNE... to Carl Sagan!

Playing with dimensions Hi there! This post is an experiment combining the result of t-SNE with two well known clustering techniques: k-means and hierarchical. This will be the practical section, in R. But

  • Pablo Casas
    Pablo Casas
7 min read
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