[pt] cs-229-machine-learning-tips-and-tricks #57
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shervinea
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Thank you for your awesome work @fersantos-dev! Now, let's start the review process! (cc: @leportella, @gabriel19913) |
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I did some review @shervinea and @fersantos-dev .
@leportella can you also help with the review?
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| **9. How accurate the positive predictions are** | ||
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| ⟶ Quão preciso as predições positivas são |
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Wouldn't be better: Quão precisas são as predições positivas?
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| **13. ROC ― The receiver operating curve, also noted ROC, is the plot of TPR versus FPR by varying the threshold. These metrics are are summed up in the table below:** | ||
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| ⟶ ROC - A curva de operação do receptor, também chamada ROC, é a área de TPR versus FPR variando o limiar. Essa métricas estão resumidas na tabela abaixo: |
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Don't you think is better to use gráfico instead of área?
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| **19. Coefficient of determination ― The coefficient of determination, often noted R2 or r2, provides a measure of how well the observed outcomes are replicated by the model and is defined as follows:** | ||
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| ⟶ Coeficiente de determinação - O coeficiente de determinação, frequentemente escrito como R2 ou r2, fornece uma medida de quão bem os resultados observados são replicados pelo modelo e é definido conforme o seguinte: |
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I think is better to use como se segue instead of conforme o seguinte
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| **21. where L is the likelihood and ˆσ2 is an estimate of the variance associated with each response.** | ||
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| ⟶ onde L é a probabilidade e ˆσ2 é a estimativa da variância associada com cada resposta. |
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uma estimativa instead of a estimativa
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I agree with you.
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| **32. The most commonly used method is called k-fold cross-validation and splits the training data into k folds to validate the model on one fold while training the model on the k−1 other folds, all of this k times. The error is then averaged over the k folds and is named cross-validation error.** | ||
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| ⟶ O método mais comumente usado é chamado k-fold cross validation e divide os dados de treinamento em k partes enquanto treina o modelo nas outras k-1 partes, todas estas em k vezes. O erro é então calculado sobre as k partes e é chamado cross-validation error (erro de validação cruzada). |
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Don't you think it is necessary to translate k-fold cross validation, and use the English version inside parentesis?
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I agree with you.
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@fersantos-dev I added some comments. Please let me know what are your thoughts :) Also, could you please add my name and @gabriel19913 name as reviewers? Thank you!
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Would you guys know where we are here in the review process? |
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Hi guys. Sorry for my delay, I was facing some personal problems last days.. |
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@shervinea I noticed that this translation is already online on Stanford's website. It's great! Good job! |
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@fersantos-dev No worries at all! Yes, please feel free to still do the changes. @afshinea and I will modify the translation on the website accordingly. Thanks a lot again everyone @fersantos-dev @leportella @gabriel19913 for your precious help in this process! |
New changes and correcting typing error
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@shervinea , I added a new commit with the changes suggested by @leportella and @gabriel19913 . The changes are in line to that already available on the Stanford website. |
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Thanks @fersantos-dev. Are we good to merge? |
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@shervinea Yes, we are good! |
shervinea
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