mirror of
https://github.com/gsi-upm/sitc
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104 lines
2.3 KiB
Plaintext
104 lines
2.3 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"![](images/EscUpmPolit_p.gif \"UPM\")"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# Course Notes for Learning Intelligent Systems"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"Department of Telematic Engineering Systems, Universidad Politécnica de Madrid, © Carlos A. Iglesias"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# Introduction to Machine Learning IV\n",
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" \n",
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"In this lab session, we are going to get more insight about evolutionary computing and, in particular, how genetic algorithms can be used for a number of ML tasks.\n",
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"\n",
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"# Objectives\n",
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"\n",
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"The main objectives of this session are:\n",
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"* Understand better genetic algorithms\n",
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"* Understand how genetic algorithms can be used for ML purposes\n",
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"* Experiment with genetic algorithms"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# Table of Contents"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"1. [Exercise](2_5_1_Exercise.ipynb)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Licence\n",
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"The notebook is freely licensed under under the [Creative Commons Attribution Share-Alike license](https://creativecommons.org/licenses/by/2.0/). \n",
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"\n",
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"© Carlos A. Iglesias, Universidad Politécnica de Madrid."
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]
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}
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],
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.7.1"
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"latex_envs": {
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"LaTeX_envs_menu_present": true,
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"bibliofile": "biblio.bib",
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"cite_by": "apalike",
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