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ammontenegrod authored Jun 6, 2023
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"<figure>\n",
"<center>\n",
"<img src=\"../Imagenes/Carta_Colon_1493.jpg\" width=\"600\" height=\"400\" align=\"center\"/>\n",
"<figcaption> Carta Cristobal Colón, 1493 </figcaption> \n",
"</center>\n",
"</figure>\n",
"\n",
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"1. [Alvaro Montenegro, Daniel Montenegro Campo Elías Pardo, Oleg Jarma, Camilo Torres, Inteligencia Artificial y Aprendizaje Profundo Avanzado, 2023](https://github.com/AprendizajeProfundo/Diplomado-Avanzado)\n",
"1. [Alvaro Montenegro, Daniel Montenegro, Campo Elías Pardo, Oleg Jarma, Camilo Torres, Ciencia de datos, 2023](https://github.com/AprendizajeProfundo/diplomado-ciencia-de-datos)\n",
"1. [Adaptado de Dipanjan (DJ) Sarkar, 2018, Deep learning methods for text data](https://towardsdatascience.com/understanding-feature-engineering-part-4-deep-learning-methods-for-text-data-96c44370bbfa)\n",
"1. [Mikolov et al. 2013a, Google, Distributed Representations of Words and Phrases\n",
"and their Compositionality](https://papers.nips.cc/paper/5021-distributed-representations-of-words-and-phrases-and-their-compositionality.pdf), \n",
"1. [Mikolov et al. 2013a, Google, Distributed Representations of Words and Phrases and their Compositionality](https://papers.nips.cc/paper/5021-distributed-representations-of-words-and-phrases-and-their-compositionality.pdf), \n",
"1. [Xin Rong, 2016, word2vec Parameter Learning Explained](https://arxiv.org/pdf/1411.2738.pdf), \n",
"1. [Mikolov et al. 2013b, Google, Efficient Estimation of Word Representations in Vector Space](https://arxiv.org/pdf/1301.3781.pdf).\n",
"1. [Baroni et al, 2014, Don’t count, predict! A systematic comparison of context-counting vs. context-predicting semantic vectors’ by Baroni et al](https://www.aclweb.org/anthology/P14-1023.pdf)"
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"</center>\n",
"</figure>\n",
"\n",
"Fuente"
"Fuente <a href=\"https://commons.wikimedia.org/wiki/File:Skipgram.png\">Mirkipedia</a>, <a href=\"https://creativecommons.org/licenses/by-sa/4.0\">CC BY-SA 4.0</a>, via Wikimedia Commons"
]
},
{
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