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- Introduction
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- [Introduction to machine learning](../1-Introduction/1-intro-to-ML/README.md)
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- [History of machine learning](../1-Introduction/2-history-of-ML/README.md)
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- [ML and Fairness](../1-Introduction/3-fairness/README.md)
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module.exports = {
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contents: ['docs/_sidebar.md'], // array of "table of contents" files path
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pathToPublic: 'pdf/readme.pdf', // path where pdf will stored
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pdfOptions: '<options for puppeteer.pdf()>', // reference: https://github.com/GoogleChrome/puppeteer/blob/master/docs/api.md#pagepdfoptions
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removeTemp: true, // remove generated .md and .html or not
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emulateMedia: 'screen', // mediaType, emulating by puppeteer for rendering pdf, 'print' by default (reference: https://github.com/GoogleChrome/puppeteer/blob/master/docs/api.md#pageemulatemediamediatype)
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};
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{
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"name": "ml-for-beginners",
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"version": "1.0.0",
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"description": "Machine Learning for Beginners - A Curriculum",
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"main": "index.js",
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"scripts": {
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"convert": "node_modules/.bin/docsify-to-pdf"
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},
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"repository": {
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"type": "git",
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"url": "git+https://github.com/microsoft/ML-For-Beginners.git"
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},
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"keywords": [
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"machine",
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"learning",
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"ml",
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"ai",
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"curriculum"
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],
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"author": "Jen Looper and team",
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"license": "MIT",
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"bugs": {
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"url": "https://github.com/microsoft/ML-For-Beginners/issues"
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},
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"homepage": "https://github.com/microsoft/ML-For-Beginners#readme",
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"devDependencies": {
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"docsify-to-pdf": "0.0.5"
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}
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}
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All the curriculum's sketchnotes can be downloaded here.
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Credits:
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Credits: Tomomi Imura
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