{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# AI WITH THE BEST\n", "\n", "**In this part of the talk we will go through how to use Engineering expertise and Machine Learning for application to signal analysis and Virtual Sensors. We will not be able to go really deep into the subject, but please refer to this notebook if you want more details.** To use the notebook, please install, to the latest version, Numpy, Scikit-learn, Pandas, Tensorflow, and Neon" ] }, { "cell_type": "code", "execution_count": 1, "metadata": { "collapsed": false }, "outputs": [], "source": [ "import numpy as np\n", "import pandas as pd\n", "from neon import NervanaObject\n", "from math import sqrt\n", "from sklearn.metrics import mean_squared_error\n", "from sklearn.preprocessing import StandardScaler\n", "from IPython.display import Image" ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/html": [ "\n", "
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