Inteligencia Artificial Sistemas de Recomendacao em Python
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| Torrent Hash : | DADC279E145F239BE55FD4D6CCD2285220D8E432 |
| Torrent Added : | 1 Year+ in Other - Other |
| Torrent Size : | 550.55 MB |
Inteligencia Artificial Sistemas de Recomendacao em Python
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Torrent File Content (53 files)
Inteligencia Artificial Sistemas de Recomendacao em Python
01 Introduc227o e conteudo do curso
001 Introduc227o aos sistema de recomendac227o.mp4 -
01 Introduc227o e conteudo do curso
001 Introduc227o aos sistema de recomendac227o.mp4 -
70.02 MB
001 Sistemas-de-Recomendac-a-o-em-Python.pdf -
6.82 MB
002 Conteudo do curso.mp4 -
56.81 MB
003 Mais sobre Intelig234ncia Artificial.html -
1.63 KB
02 Busca por usuarios similares
004 Introduc227o ao modulo.mp4 -
004 Introduc227o ao modulo.mp4 -
2.05 MB
004 M-dulo-Busca-por-Usu-rios-Similares.pdf -
155 KB
005 Instalac227o das ferramentas.mp4 -
9.3 MB
006 Base de dados de filmes no Python.mp4 -
14.8 MB
006 Base-de-Dados.txt -
1.11 KB
007 Testando a base de dados.mp4 -
9.03 MB
008 Gr-fico-de-Dispers-o-dos-Usu-rios-e-Filmes.pdf -
288.37 KB
008 Grafico de dispers227o dos usuarios e filmes.mp4 -
10.32 MB
009 Dist-ncia-Euclidiana.pdf -
498.19 KB
009 Distancia euclidiana.mp4 -
15.91 MB
010 Distancia euclidiana no Python.mp4 -
15.05 MB
011 Func227o para distancia euclidiana no Python.mp4 -
12.96 MB
012 Testando a func227o de distancia euclidiana.mp4 -
4.16 MB
013 Retornando a similaridade de todos os usuarios.mp4 -
9.55 MB
03 Recomendac227o de filmes com filtragem baseada em usuarios
014 Introduc227o ao modulo.mp4 -
014 Introduc227o ao modulo.mp4 -
2.46 MB
014 M-dulo-Recomenda-o-de-Filmes.pdf -
155.72 KB
015 Como fazer recomendac245es I.mp4 -
13.42 MB
015 Como-fazer-Recomenda-es.pdf -
458.07 KB
016 Como fazer recomendac245es II.mp4 -
13.96 MB
017 Como fazer recomendac245es III.mp4 -
19.98 MB
018 Func227o para recomendac227o no Python.mp4 -
24.97 MB
019 Testando as recomendac245es.mp4 -
7.7 MB
020 Filmes similares I.mp4 -
10.7 MB
020 Filmes-Similares.pdf -
297.76 KB
021 Base-de-Dados-Invertida.txt -
867 bytes
021 Filmes similares II.mp4 -
13.47 MB
022 Melhorando o codigo fonte.mp4 -
14.33 MB
023 Base de dados do MovieLens.mp4 -
27.73 MB
023 GroupLens.txt -
42 bytes
023 ml-100k.zip -
4.77 MB
023 MovieLens.txt -
23 bytes
024 Carregando os dados do MovieLens.mp4 -
32.46 MB
025 Recomendac227o com MovieLens.mp4 -
14.73 MB
04 Recomendac227o de filmes com filtragem baseada em itens
026 Introduc227o.mp4 -
026 Introduc227o.mp4 -
1.97 MB
026 M-dulo-Filtragem-Baseada-em-Itens.pdf -
152.99 KB
027 Filtragem baseada em itens.mp4 -
17.58 MB
027 Filtragem-Baseada-em-Itens.pdf -
285.43 KB
028 Como fazer recomendac245es - itens.mp4 -
24.13 MB
028 Como-fazer-Recomenda-es-Itens.pdf -
382 KB
029 Func227o para armazenar os itens similares.mp4 -
17.57 MB
030 Func227o para recomendac227o por item.mp4 -
19.78 MB
031 Testando as recomendac245es.mp4 -
15.16 MB
032 Filtragem baseada em usuarios x itens.mp4 -
9.07 MB
032 Recomenda-o-por-usu-rio-x-Recomenda-o-por-item.pdf -
388.77 KB
05 Considerac245es finais
033 Conclus-o.pdf -
033 Conclus-o.pdf -
347.17 KB
033 Considerac245es finais.mp4 -
4.54 MB
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