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"source": [
"List of topics to cover:\n",
"\n",
"- Bayesian solution to overfitting\n",
" - Salisman's solution to the Don't Overfit\n",
"- Predictive distributions; \"how do I evaluate testing data?\"\n",
"- model fitting, BIC + visualization tools\n",
"- Gaussian Processes\n",
"\n",
"\n",
"Would be nice/cool to cover:\n",
"\n",
"- classification models (using the books text)\n",
"- Bayesian networks?"
]
},
{
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"input": [],
"language": "python",
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"outputs": [],
"prompt_number": 6
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{
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"input": [],
"language": "python",
"metadata": {},
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"input": [],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 6
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{
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"input": [],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 6
},
{
"cell_type": "code",
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"input": [
"from IPython.core.display import HTML\n",
"def css_styling():\n",
" styles = open(\"../styles/custom.css\", \"r\").read()\n",
" return HTML(styles)\n",
"css_styling()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"html": [
"\n",
""
],
"output_type": "pyout",
"prompt_number": 10,
"text": [
""
]
}
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"prompt_number": 10
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