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   "source": [
    "# %load ../../preconfig.py\n",
    "%matplotlib inline\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "plt.rcParams['axes.grid'] = False\n",
    "\n",
    "#import numpy as np\n",
    "#import pandas as pd\n",
    "#import itertools\n",
    "\n",
    "import logging\n",
    "logger = logging.getLogger()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "1 Introduction\n",
    "========"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Example 1: Email Spam\n",
    "predict whether an email is junk email, or \"spam\".\n",
    "\n",
    "classificaton problem.\n",
    "\n",
    "#### Example 2: Prostate Cancer\n",
    "predict the log of PSA from a number of measurements.\n",
    "\n",
    "regression problem.\n",
    "\n",
    "#### Example 3: Handwritten Digit Recognition\n",
    "\n",
    "classification problem\n",
    "\n",
    "#### Example 4: DNA Expression Microarrays\n",
    "cluster clues.\n",
    "\n",
    "unsupervised learning problem."
   ]
  }
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