notebooks/Chapter_09-Mixture_Models_and_EM.ipynb

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    "# Chapter 9 - Mixture Models and EM\n",
    "\n",
    "## 9.1 - K-means Clustering\n",
    "\n",
    "### 9.1.1 - Image segmentation and compression\n",
    "\n",
    "## 9.2 - Mixtures of Gaussians\n",
    "\n",
    "### 9.2.1 - Maximum likelihood\n",
    "### 9.2.2 - EM for Gaussian mixtures\n",
    "\n",
    "## 9.3 - An Alternative View of EM\n",
    "\n",
    "### 9.3.1 - Gaussian mixtures revisited\n",
    "### 9.3.2 - Relation to K-means\n",
    "### 9.3.3 - Mixtures of Bernoulli distributions\n",
    "### 9.3.4 - EM for Bayesian linear regression\n",
    "\n",
    "## 9.4 - The EM Algorithm in General"
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