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Fix duplicate word occurrences in notebooks

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This commit is contained in:
Jan Hrček
2024-07-30 11:16:30 +02:00
parent 5f16e0f9bc
commit c5fafbca97
11 changed files with 18 additions and 18 deletions
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4
Notebooks/Chap05/5_3_Multiclass_Cross_entropy_Loss.ipynb
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@@ -211,7 +211,7 @@
"id": "MvVX6tl9AEXF"
},
"source": [
"The left is model output and the right is the model output after the softmax has been applied, so it now lies in the range [0,1] and represents the probability, that y=0 (red), 1 (green) and 2 (blue). The dots at the bottom show the training data with the same color scheme. So we want the red curve to be high where there are red dots, the green curve to be high where there are green dots, and the blue curve to be high where there are blue dots We'll compute the the likelihood and the negative log likelihood."
"The left is model output and the right is the model output after the softmax has been applied, so it now lies in the range [0,1] and represents the probability, that y=0 (red), 1 (green) and 2 (blue). The dots at the bottom show the training data with the same color scheme. So we want the red curve to be high where there are red dots, the green curve to be high where there are green dots, and the blue curve to be high where there are blue dots We'll compute the likelihood and the negative log likelihood."
]
},
{
@@ -460,4 +460,4 @@
},
"nbformat": 4,
"nbformat_minor": 0
}
}

2
Notebooks/Chap08/8_4_High_Dimensional_Spaces.ipynb
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@@ -134,7 +134,7 @@
"source": [
"# Volume of a hypersphere\n",
"\n",
"In the second part of this notebook we calculate the volume of a hypersphere of radius 0.5 (i.e., of diameter 1) as a function of the radius. Note that you you can check your answer by doing the calculation for 2D using the standard formula for the area of a circle and making sure it matches."
"In the second part of this notebook we calculate the volume of a hypersphere of radius 0.5 (i.e., of diameter 1) as a function of the radius. Note that you can check your answer by doing the calculation for 2D using the standard formula for the area of a circle and making sure it matches."
],
"metadata": {
"id": "b2FYKV1SL4Z7"

4
Notebooks/Chap19/19_2_Dynamic_Programming.ipynb
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@@ -393,7 +393,7 @@
{
"cell_type": "code",
"source": [
"# Update the state values for the current policy, by making the values at at adjacent\n",
"# Update the state values for the current policy, by making the values at adjacent\n",
"# states compatible with the Bellman equation (equation 19.11)\n",
"def policy_evaluation(policy, state_values, rewards, transition_probabilities_given_action, gamma):\n",
"\n",
@@ -527,4 +527,4 @@
}
}
]
}
}

4
Notebooks/Chap21/21_1_Bias_Mitigation.ipynb
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@@ -137,7 +137,7 @@
"id": "CfZ-srQtmff2"
},
"source": [
"Why might the distributions for blue and yellow populations be different? It could be that the behaviour of the populations is identical, but the credit rating algorithm is biased; it may favor one population over another or simply be more noisy for one group. Alternatively, it could be that that the populations genuinely behave differently. In practice, the differences in blue and yellow distributions are probably attributable to a combination of these factors.\n",
"Why might the distributions for blue and yellow populations be different? It could be that the behaviour of the populations is identical, but the credit rating algorithm is biased; it may favor one population over another or simply be more noisy for one group. Alternatively, it could be that the populations genuinely behave differently. In practice, the differences in blue and yellow distributions are probably attributable to a combination of these factors.\n",
"\n",
"Let’s assume that we can’t retrain the credit score prediction algorithm; our job is to adjudicate whether each individual is refused the loan ($\\hat{y}=0$)\n",
" or granted it ($\\hat{y}=1$). Since we only have the credit score\n",
@@ -382,7 +382,7 @@
"source": [
"# Equal opportunity:\n",
"\n",
"The thresholds are chosen so that so that the true positive rate is is the same for both population. Of the people who pay back the loan, the same proportion are offered credit in each group. In terms of the two ROC curves, it means choosing thresholds so that the vertical position on each curve is the same without regard for the horizontal position."
"The thresholds are chosen so that so that the true positive rate is the same for both population. Of the people who pay back the loan, the same proportion are offered credit in each group. In terms of the two ROC curves, it means choosing thresholds so that the vertical position on each curve is the same without regard for the horizontal position."
]
},
{