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Scaling to Huge Datasets & Online Learning
week 7: Scaling to Huge Datasets & Online Learning
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...t/week7/.ipynb_checkpoints/module-10-online-learning-assignment-graphlab-checkpoint.ipynb
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..._classification/assigment/week7/.ipynb_checkpoints/quiz-week7-assignment-checkpoint.ipynb
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{ | ||
"cells": [ | ||
{ | ||
"cell_type": "markdown", | ||
"metadata": {}, | ||
"source": [ | ||
"# Training Logistic Regression via Stochastic Gradient Ascent" | ||
] | ||
}, | ||
{ | ||
"cell_type": "markdown", | ||
"metadata": {}, | ||
"source": [ | ||
"# Question 1\n", | ||
"\n", | ||
"<img src=\"images/lec7_quiz01_pic01.png\">\n", | ||
"\n", | ||
"*Screenshot taken from [Coursera](https://www.coursera.org/learn/ml-classification/exam/UWEJn/training-logistic-regression-via-stochastic-gradient-ascent)*\n", | ||
"\n", | ||
"<!--TEASER_END-->" | ||
] | ||
}, | ||
{ | ||
"cell_type": "markdown", | ||
"metadata": {}, | ||
"source": [ | ||
"# Question 2\n", | ||
"\n", | ||
"<img src=\"images/lec7_quiz01_pic02.png\">\n", | ||
"\n", | ||
"*Screenshot taken from [Coursera](https://www.coursera.org/learn/ml-classification/exam/UWEJn/training-logistic-regression-via-stochastic-gradient-ascent)*\n", | ||
"\n", | ||
"<!--TEASER_END-->" | ||
] | ||
}, | ||
{ | ||
"cell_type": "markdown", | ||
"metadata": {}, | ||
"source": [ | ||
"# Question 3\n", | ||
"\n", | ||
"<img src=\"images/lec7_quiz01_pic03.png\">\n", | ||
"\n", | ||
"*Screenshot taken from [Coursera](https://www.coursera.org/learn/ml-classification/exam/UWEJn/training-logistic-regression-via-stochastic-gradient-ascent)*\n", | ||
"\n", | ||
"<!--TEASER_END-->" | ||
] | ||
}, | ||
{ | ||
"cell_type": "markdown", | ||
"metadata": {}, | ||
"source": [ | ||
"# Question 4\n", | ||
"\n", | ||
"<img src=\"images/lec7_quiz01_pic04.png\">\n", | ||
"\n", | ||
"*Screenshot taken from [Coursera](https://www.coursera.org/learn/ml-classification/exam/UWEJn/training-logistic-regression-via-stochastic-gradient-ascent)*\n", | ||
"\n", | ||
"<!--TEASER_END-->" | ||
] | ||
}, | ||
{ | ||
"cell_type": "markdown", | ||
"metadata": {}, | ||
"source": [ | ||
"# Question 5\n", | ||
"\n", | ||
"<img src=\"images/lec7_quiz01_pic05.png\">\n", | ||
"\n", | ||
"*Screenshot taken from [Coursera](https://www.coursera.org/learn/ml-classification/exam/UWEJn/training-logistic-regression-via-stochastic-gradient-ascent)*\n", | ||
"\n", | ||
"<!--TEASER_END-->" | ||
] | ||
}, | ||
{ | ||
"cell_type": "markdown", | ||
"metadata": {}, | ||
"source": [ | ||
"# Question 6\n", | ||
"\n", | ||
"<img src=\"images/lec7_quiz01_pic06.png\">\n", | ||
"\n", | ||
"*Screenshot taken from [Coursera](https://www.coursera.org/learn/ml-classification/exam/UWEJn/training-logistic-regression-via-stochastic-gradient-ascent)*\n", | ||
"\n", | ||
"<!--TEASER_END-->" | ||
] | ||
}, | ||
{ | ||
"cell_type": "markdown", | ||
"metadata": {}, | ||
"source": [ | ||
"# Question 7\n", | ||
"\n", | ||
"<img src=\"images/lec7_quiz01_pic07.png\">\n", | ||
"\n", | ||
"*Screenshot taken from [Coursera](https://www.coursera.org/learn/ml-classification/exam/UWEJn/training-logistic-regression-via-stochastic-gradient-ascent)*\n", | ||
"\n", | ||
"<!--TEASER_END-->" | ||
] | ||
}, | ||
{ | ||
"cell_type": "markdown", | ||
"metadata": {}, | ||
"source": [ | ||
"# Question 8\n", | ||
"\n", | ||
"<img src=\"images/lec7_quiz01_pic08.png\">\n", | ||
"\n", | ||
"*Screenshot taken from [Coursera](https://www.coursera.org/learn/ml-classification/exam/UWEJn/training-logistic-regression-via-stochastic-gradient-ascent)*\n", | ||
"\n", | ||
"<!--TEASER_END-->" | ||
] | ||
}, | ||
{ | ||
"cell_type": "markdown", | ||
"metadata": {}, | ||
"source": [ | ||
"# Question 9\n", | ||
"\n", | ||
"<img src=\"images/lec7_quiz01_pic09.png\">\n", | ||
"\n", | ||
"*Screenshot taken from [Coursera](https://www.coursera.org/learn/ml-classification/exam/UWEJn/training-logistic-regression-via-stochastic-gradient-ascent)*\n", | ||
"\n", | ||
"<!--TEASER_END-->" | ||
] | ||
}, | ||
{ | ||
"cell_type": "markdown", | ||
"metadata": {}, | ||
"source": [ | ||
"# Question 10\n", | ||
"\n", | ||
"<img src=\"images/lec7_quiz01_pic10.png\">\n", | ||
"\n", | ||
"*Screenshot taken from [Coursera](https://www.coursera.org/learn/ml-classification/exam/UWEJn/training-logistic-regression-via-stochastic-gradient-ascent)*\n", | ||
"\n", | ||
"<!--TEASER_END-->" | ||
] | ||
}, | ||
{ | ||
"cell_type": "markdown", | ||
"metadata": {}, | ||
"source": [ | ||
"# Question 11\n", | ||
"\n", | ||
"<img src=\"images/lec7_quiz01_pic11.png\">\n", | ||
"\n", | ||
"*Screenshot taken from [Coursera](https://www.coursera.org/learn/ml-classification/exam/UWEJn/training-logistic-regression-via-stochastic-gradient-ascent)*\n", | ||
"\n", | ||
"<!--TEASER_END-->" | ||
] | ||
}, | ||
{ | ||
"cell_type": "markdown", | ||
"metadata": {}, | ||
"source": [ | ||
"# Question 12\n", | ||
"\n", | ||
"<img src=\"images/lec7_quiz01_pic12.png\">\n", | ||
"\n", | ||
"*Screenshot taken from [Coursera](https://www.coursera.org/learn/ml-classification/exam/UWEJn/training-logistic-regression-via-stochastic-gradient-ascent)*\n", | ||
"\n", | ||
"<!--TEASER_END-->" | ||
] | ||
}, | ||
{ | ||
"cell_type": "markdown", | ||
"metadata": {}, | ||
"source": [ | ||
"# Question 13\n", | ||
"\n", | ||
"<img src=\"images/lec7_quiz01_pic13.png\">\n", | ||
"\n", | ||
"*Screenshot taken from [Coursera](https://www.coursera.org/learn/ml-classification/exam/UWEJn/training-logistic-regression-via-stochastic-gradient-ascent)*\n", | ||
"\n", | ||
"<!--TEASER_END-->" | ||
] | ||
} | ||
], | ||
"metadata": { | ||
"kernelspec": { | ||
"display_name": "Python 2", | ||
"language": "python", | ||
"name": "python2" | ||
}, | ||
"language_info": { | ||
"codemirror_mode": { | ||
"name": "ipython", | ||
"version": 2 | ||
}, | ||
"file_extension": ".py", | ||
"mimetype": "text/x-python", | ||
"name": "python", | ||
"nbconvert_exporter": "python", | ||
"pygments_lexer": "ipython2", | ||
"version": "2.7.11" | ||
} | ||
}, | ||
"nbformat": 4, | ||
"nbformat_minor": 0 | ||
} |
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