MachineLearning-11.ipynb

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    "#  Coursera: [Machine Learning](https://www.coursera.org/learn/machine-learning) - Week 11\n",
    "\n",
    "Created by Andrew Ng / Stanford University"
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    "## Table of Content\n",
    "\n",
    "* [Application Example: Photo OCR](#Application-Example:-Photo-OCR)\n",
    "   * Photo OCR\n",
    "      * Problem Description and Pipeline\n",
    "      * Sliding Windows\n",
    "      * Getting Lots of Data and Artificial Data\n",
    "      * Ceiling Analysis: What Part of the Pipeline to Work on Next\n",
    "   * Review\n",
    "* [Conclusion](#Conclusion)\n",
    "   * Summary and Thank You"
   ]
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    "## Application Example: Photo OCR\n",
    "\n",
    "Congratulations on making it to the eleventh and final week! This week, we will walk you through a complex, end-to-end application of machine learning, to the application of Photo OCR. Identifying and recognizing objects, words, and digits in an image is a challenging task. We discuss how a pipeline can be built to tackle this problem and how to analyze and improve the performance of such a system."
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    "### Photo OCR\n",
    "\n",
    "#### Problem Description and Pipeline\n",
    "\n",
    "-\n",
    "\n",
    "#### Sliding Windows\n",
    "\n",
    "-\n",
    "\n",
    "#### Getting Lots of Data and Artificial Data\n",
    "\n",
    "-\n",
    "\n",
    "#### Ceiling Analysis: What Part of the Pipeline to Work on Next\n",
    "\n",
    "-"
   ]
  },
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   "source": [
    "### Review\n",
    "\n",
    "[Lecture18.pdf](lectures/Lecture18.pdf)"
   ]
  },
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   "metadata": {},
   "source": [
    "## Conclusion"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Summary and Thank You\n",
    "\n",
    "-"
   ]
  }
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