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"cell_type": "markdown",
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"source": [
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"source": [
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"### Note on random number generators (could move it somewhere else)\n",
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"### Note on random number generators (general note)\n",
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"\n",
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"\n",
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"It is generally a good practice (for machine learning applications **not** cryptography!) to seed a pseudo-random number generator once at the beginning of the experiment, and use it later through the code where necesarry. This allows to avoid hard to reproduce scenariors where a particular action happens only for a particular sequence of numbers (which you cannot reproduce easily due to unknown random seeds sequence on the way!). As such, within this course we are going use a single random generator object. For instance, the one similar to the below:"
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"It is generally a good practice (for machine learning applications **not** cryptography!) to seed a pseudo-random number generator once at the beginning of the experiment, and use it later through the code where necesarry. This allows to avoid hard to reproduce scenariors where a particular action happens only for a particular sequence of numbers (which you cannot reproduce easily due to unknown random seeds sequence on the way!). As such, within this course we are going use a single random generator object. For instance, the one similar to the below:"
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]
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]
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