Skip to content

Commit

Permalink
Mixture Models
Browse files Browse the repository at this point in the history 
Implementing EM for Gaussian mixtures
  • Loading branch information
@tuanavu
tuanavu committed Jul 24, 2016
1 parent b716fb6 commit 146c330
Show file tree
Hide file tree
Showing 10 changed files with 2,531 additions and 227 deletions.
1,629 changes: 1,629 additions & 0 deletions ...g_and_retrieval/assigment/week4/.ipynb_checkpoints/3_em-for-gmm_graphlab-checkpoint.ipynb
View file

Large diffs are not rendered by default.

178 changes: 26 additions & 152 deletions ..._and_retrieval/assigment/week4/.ipynb_checkpoints/quiz-week4-assignment1-checkpoint.ipynb
View file
Original file line number Diff line number Diff line change
Expand Up @@ -4,137 +4,18 @@
"cell_type": "markdown",
"metadata": {},
"source": [
"# Decision Trees in Practice"
"# Implementing EM for Gaussian mixtures"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Question 1"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"<img src=\"images/lec4_quiz01_pic01.png\">\n",
"\n",
"*Screenshot taken from [Coursera](https://www.coursera.org/learn/ml-classification/exam/xRbhG/decision-trees-in-practice)*\n",
"\n",
"<!--TEASER_END-->"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Question 2"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"<img src=\"images/lec4_quiz01_pic02.png\">\n",
"\n",
"*Screenshot taken from [Coursera](https://www.coursera.org/learn/ml-classification/exam/xRbhG/decision-trees-in-practice)*\n",
"\n",
"<!--TEASER_END-->"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Question 3"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"<img src=\"images/lec4_quiz01_pic03.png\">\n",
"\n",
"*Screenshot taken from [Coursera](https://www.coursera.org/learn/ml-classification/exam/xRbhG/decision-trees-in-practice)*\n",
"\n",
"<!--TEASER_END-->"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Question 4\n",
"\n",
"<img src=\"images/lec4_quiz01_pic04.png\">\n",
"\n",
"*Screenshot taken from [Coursera](https://www.coursera.org/learn/ml-classification/exam/xRbhG/decision-trees-in-practice)*\n",
"\n",
"<!--TEASER_END-->"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Question 5\n",
"\n",
"<img src=\"images/lec4_quiz01_pic05.png\">\n",
"\n",
"*Screenshot taken from [Coursera](https://www.coursera.org/learn/ml-classification/exam/xRbhG/decision-trees-in-practice)*\n",
"\n",
"<!--TEASER_END-->"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Question 6\n",
"\n",
"<img src=\"images/lec4_quiz01_pic06.png\">\n",
"\n",
"*Screenshot taken from [Coursera](https://www.coursera.org/learn/ml-classification/exam/xRbhG/decision-trees-in-practice)*\n",
"\n",
"<!--TEASER_END-->"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Question 7\n",
"\n",
"<img src=\"images/lec4_quiz01_pic07.png\">\n",
"\n",
"*Screenshot taken from [Coursera](https://www.coursera.org/learn/ml-classification/exam/xRbhG/decision-trees-in-practice)*\n",
"\n",
"<!--TEASER_END-->"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Question 8\n",
"\n",
"<img src=\"images/lec4_quiz01_pic08.png\">\n",
"\n",
"*Screenshot taken from [Coursera](https://www.coursera.org/learn/ml-classification/exam/xRbhG/decision-trees-in-practice)*\n",
"\n",
"<!--TEASER_END-->"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Question 9\n",
"# Question 1\n",
"\n",
"<img src=\"images/lec4_quiz01_pic09.png\">\n",
"<img src=\"images/Screen Shot 2016-07-23 at 7.30.10 PM.png\">\n",
"\n",
"*Screenshot taken from [Coursera](https://www.coursera.org/learn/ml-classification/exam/xRbhG/decision-trees-in-practice)*\n",
"*Screenshot taken from [Coursera](https://www.coursera.org/learn/ml-clustering-and-retrieval/exam/UnnXU/implementing-em-for-gaussian-mixtures)*\n",
"\n",
"<!--TEASER_END-->"
]
Expand All @@ -143,11 +24,11 @@
"cell_type": "markdown",
"metadata": {},
"source": [
"# Question 10\n",
"# Question 2\n",
"\n",
"<img src=\"images/lec4_quiz01_pic10.png\">\n",
"<img src=\"images/Screen Shot 2016-07-23 at 7.30.15 PM.png\">\n",
"\n",
"*Screenshot taken from [Coursera](https://www.coursera.org/learn/ml-classification/exam/xRbhG/decision-trees-in-practice)*\n",
"*Screenshot taken from [Coursera](https://www.coursera.org/learn/ml-clustering-and-retrieval/exam/UnnXU/implementing-em-for-gaussian-mixtures)*\n",
"\n",
"<!--TEASER_END-->"
]
Expand All @@ -156,11 +37,11 @@
"cell_type": "markdown",
"metadata": {},
"source": [
"# Question 11\n",
"# Question 3\n",
"\n",
"<img src=\"images/lec4_quiz01_pic11.png\">\n",
"<img src=\"images/Screen Shot 2016-07-23 at 7.30.19 PM.png\">\n",
"\n",
"*Screenshot taken from [Coursera](https://www.coursera.org/learn/ml-classification/exam/xRbhG/decision-trees-in-practice)*\n",
"*Screenshot taken from [Coursera](https://www.coursera.org/learn/ml-clustering-and-retrieval/exam/UnnXU/implementing-em-for-gaussian-mixtures)*\n",
"\n",
"<!--TEASER_END-->"
]
Expand All @@ -169,24 +50,11 @@
"cell_type": "markdown",
"metadata": {},
"source": [
"# Question 12\n",
"\n",
"<img src=\"images/lec4_quiz01_pic12.png\">\n",
"\n",
"*Screenshot taken from [Coursera](https://www.coursera.org/learn/ml-classification/exam/xRbhG/decision-trees-in-practice)*\n",
"\n",
"<!--TEASER_END-->"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Question 13\n",
"# Question 4\n",
"\n",
"<img src=\"images/lec4_quiz01_pic13.png\">\n",
"<img src=\"images/Screen Shot 2016-07-23 at 7.30.26 PM.png\">\n",
"\n",
"*Screenshot taken from [Coursera](https://www.coursera.org/learn/ml-classification/exam/xRbhG/decision-trees-in-practice)*\n",
"*Screenshot taken from [Coursera](https://www.coursera.org/learn/ml-clustering-and-retrieval/exam/UnnXU/implementing-em-for-gaussian-mixtures)*\n",
"\n",
"<!--TEASER_END-->"
]
Expand All @@ -195,11 +63,11 @@
"cell_type": "markdown",
"metadata": {},
"source": [
"# Question 14\n",
"# Question 5\n",
"\n",
"<img src=\"images/lec4_quiz01_pic14.png\">\n",
"<img src=\"images/Screen Shot 2016-07-23 at 7.30.33 PM.png\">\n",
"\n",
"*Screenshot taken from [Coursera](https://www.coursera.org/learn/ml-classification/exam/xRbhG/decision-trees-in-practice)*\n",
"*Screenshot taken from [Coursera](https://www.coursera.org/learn/ml-clustering-and-retrieval/exam/UnnXU/implementing-em-for-gaussian-mixtures)*\n",
"\n",
"<!--TEASER_END-->"
]
Expand All @@ -208,11 +76,11 @@
"cell_type": "markdown",
"metadata": {},
"source": [
"# Question 15\n",
"# Question 6\n",
"\n",
"<img src=\"images/lec4_quiz01_pic15.png\">\n",
"<img src=\"images/Screen Shot 2016-07-23 at 7.41.00 PM.png\">\n",
"\n",
"*Screenshot taken from [Coursera](https://www.coursera.org/learn/ml-classification/exam/xRbhG/decision-trees-in-practice)*\n",
"*Screenshot taken from [Coursera](https://www.coursera.org/learn/ml-clustering-and-retrieval/exam/UnnXU/implementing-em-for-gaussian-mixtures)*\n",
"\n",
"<!--TEASER_END-->"
]
Expand All @@ -234,7 +102,13 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython2",
"version": "2.7.10"
"version": "2.7.12"
},
"toc": {
"toc_cell": false,
"toc_number_sections": false,
"toc_threshold": "8",
"toc_window_display": false
}
},
"nbformat": 4,
Expand Down
Loading

0 comments on commit 146c330

Please sign in to comment.