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28
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30
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31
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32
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https://www.datarobot.com/blog/introduction-to-loss-functions/
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42
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44
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45
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48
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49
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54
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55
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56
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https://siegel.work/blog/LossFunctions/
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63
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64
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66
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68
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69
https://www.reddit.com/r/MachineLearning/comments/8im9eb/d_crossentropy_vs_meansquared_error_loss/
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70
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71
https://rohanvarma.me/Loss-Functions/
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72
https://statisticsbyjim.com/regression/mean-squared-error-mse/
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73
https://www.tandfonline.com/doi/full/10.1080/03610918.2018.1425444
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74
https://jacobjackson.com/cross-entropy/
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https://jamesmccaffrey.wordpress.com/2019/06/17/error-loss-risk-and-likelihood-in-machine-learning/
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76
http://aoliver.org/why-mse
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https://mediaspace.baylor.edu/media/Loss+Function+Optimality/1_ywhmgdn6/170953002
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78
https://www.enjoyalgorithms.com/blog/loss-and-cost-functions-in-machine-learning/
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80
https://www.semanticscholar.org/paper/Estimating-a-Bounded-Normal-Mean-Relative-to-Error-Karimnezhad/7fa967f9a9757e99c690f9a07047f0f7cf5e1d77
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81
https://atharvaai7.wordpress.com/2020/08/11/why-not-mean-squared-errormse-as-a-loss-function-for-logistic-regression/
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82
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83
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https://www.tutorialspoint.com/how-to-measure-the-mean-squared-error-squared-l2-norm-in-pytorch
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https://c3.ai/glossary/data-science/loss-function/
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https://thescipub.com/abstract/10.3844/jmssp.2017.284.291
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https://www.quantstart.com/articles/The-Bias-Variance-Tradeoff-in-Statistical-Machine-Learning-The-Regression-Setting/
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https://twitter.com/haltakov/status/1461753086909861900
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https://github.com/topics/mean-squared-error
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https://data-flair.training/blogs/keras-loss-functions/
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