{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "![](images/EscUpmPolit_p.gif \"UPM\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Course Notes for Learning Intelligent Systems" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Department of Telematic Engineering Systems, Universidad Politécnica de Madrid, © Carlos A. Iglesias" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Introduction to Machine Learning IV\n", " \n", "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", "\n", "# Objectives\n", "\n", "The main objectives of this session are:\n", "* Understand better genetic algorithms\n", "* Understand how genetic algorithms can be used for ML purposes\n", "* Experiment with genetic algorithms" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Table of Contents" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "1. [Exercise](2_5_1_Exercise.ipynb)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Licence\n", "The notebook is freely licensed under under the [Creative Commons Attribution Share-Alike license](https://creativecommons.org/licenses/by/2.0/). \n", "\n", "© Carlos A. Iglesias, Universidad Politécnica de Madrid." ] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.7.1" }, "latex_envs": { "LaTeX_envs_menu_present": true, "autocomplete": true, "bibliofile": "biblio.bib", "cite_by": "apalike", "current_citInitial": 1, "eqLabelWithNumbers": true, "eqNumInitial": 1, "hotkeys": { "equation": "Ctrl-E", "itemize": "Ctrl-I" }, "labels_anchors": false, "latex_user_defs": false, "report_style_numbering": false, "user_envs_cfg": false } }, "nbformat": 4, "nbformat_minor": 1 }