{ "cells": [ { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "
" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Machine Learning\n", "# 3. Linear Classification" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### [Luis Martí](http://lmarti.com)\n", "#### [Instituto de Computação](http://www.ic.uff)\n", "#### [Universidade Federal Fluminense](http://www.uff.br)\n", "$\\renewcommand{\\vec}[1]{\\boldsymbol{#1}}$" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "skip" } }, "source": [ "### About the notebook/slides\n", "\n", "* The slides are _programmed_ as a [Jupyter](http://jupyter.org)/[IPython](https://ipython.org/) notebook.\n", "* **Feel free to try them and experiment on your own by launching the notebooks.**\n", "\n", "* You can run the notebook online: [![Binder](http://mybinder.org/badge.svg)](http://mybinder.org/repo/lmarti/machine-learning)" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "skip" } }, "source": [ "If you are using [nbviewer](http://nbviewer.jupyter.org) you can change to slides mode by clicking on the icon:\n", "\n", "Software | Version |
---|---|
Python | 3.6.2 64bit [GCC 4.2.1 Compatible Apple LLVM 6.1.0 (clang-602.0.53)] |
IPython | 6.1.0 |
OS | Darwin 17.0.0 x86_64 i386 64bit |
scipy | 0.19.1 |
numpy | 1.13.1 |
matplotlib | 2.0.2 |
Tue Aug 29 10:55:29 2017 -03 |