From c520b9fd1a2a7a902a87cda1d5fa8a8191bdf863 Mon Sep 17 00:00:00 2001 From: Tuan Vu Date: Tue, 5 Jul 2016 16:11:05 -0700 Subject: [PATCH] README --- machine_learning/3_classification/README.md | 4 +-- .../4_clustering_and_retrieval/README.md | 30 ++++++++----------- machine_learning/README.md | 1 + 3 files changed, 15 insertions(+), 20 deletions(-) diff --git a/machine_learning/3_classification/README.md b/machine_learning/3_classification/README.md index 7605907..f6b7dae 100644 --- a/machine_learning/3_classification/README.md +++ b/machine_learning/3_classification/README.md @@ -15,12 +15,12 @@ Classification ## Week 1: Linear Classifiers & Logistic Regression -[Lecture](./lecture/week1) +**[Lecture](./lecture/week1)** - [intro.pdf](./lecture/week1/intro.pdf) - [logistic-regression-model-annotated.pdf](./lecture/week1/logistic-regression-model-annotated.pdf) - module-2-linear-classifier-assignment-graphlab [[ipynb](./lecture/week1/quiz-Learning%20Linear%20Classifiers.ipynb)] [[nbviewer](http://nbviewer.jupyter.org/github/tuanavu/coursera-university-of-washington/blob/master/machine_learning/3_classification/lecture/week2/quiz-Learning%20Linear%20Classifiers.ipynb)] -[Assigment](../assignment/week1) +**[Assigment](./assignment/week1)** - module-2-linear-classifier-assignment-graphlab [[ipynb](./assignment/week1/module-2-linear-classifier-assignment-graphlab.ipynb)] [[nbviewer](http://nbviewer.jupyter.org/github/tuanavu/coursera-university-of-washington/blob/master/machine_learning/3_classification/assigment/week1/module-2-linear-classifier-assignment-graphlab.ipynb)] - quiz-week1-assignment.ipynb [[ipynb](./assignment/week1/quiz-week1-assignment.ipynb)] [[nbviewer](http://nbviewer.jupyter.org/github/tuanavu/coursera-university-of-washington/blob/master/machine_learning/3_classification/assigment/week1/quiz-week1-assignment.ipynb)] diff --git a/machine_learning/4_clustering_and_retrieval/README.md b/machine_learning/4_clustering_and_retrieval/README.md index f6b7dae..f5dc7fd 100644 --- a/machine_learning/4_clustering_and_retrieval/README.md +++ b/machine_learning/4_clustering_and_retrieval/README.md @@ -1,37 +1,31 @@ -Classification +Clustering & Retrieval --- ## Lecture Overview | Week | Description | |--------------------------------------------------------------------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------| -| [Week 1](https://github.com/tuanavu/coursera-university-of-washington/tree/master/machine_learning/3_classification#week-1-linear-classifiers--logistic-regression) | Linear Classifiers & Logistic Regression | -| [Week 2](https://github.com/tuanavu/coursera-university-of-washington/tree/master/machine_learning/3_classification#week-2-linear-classifiers--logistic-regression) | Linear Classifiers & Logistic Regression | +| [Week 1](https://github.com/tuanavu/coursera-university-of-washington/tree/master/machine_learning/4_clustering_and_retrieval#week-1-welcome) | Welcome | +| [Week 2](https://github.com/tuanavu/coursera-university-of-washington/tree/master/machine_learning/4_clustering_and_retrieval#week-1-nearest-neighbor-search) | Nearest Neighbor Search | | [Week 3](https://github.com/tuanavu/coursera-university-of-washington/tree/master/machine_learning/3_classification#week-3-decision-trees) | Decision Trees | -| [Week 4](https://github.com/tuanavu/coursera-university-of-washington/tree/master/machine_learning/3_classification#week-4-preventing-overfitting-in-decision-trees--handling-missing-data) | Preventing Overfitting in Decision Trees & Handling Missing Data | -| [Week 5](https://github.com/tuanavu/coursera-university-of-washington/tree/master/machine_learning/3_classification#week-5-boosting) | Boosting | -| [Week 6](https://github.com/tuanavu/coursera-university-of-washington/tree/master/machine_learning/3_classification#week-6-precision-recall) | Precision-Recall | -| [Week 7](https://github.com/tuanavu/coursera-university-of-washington/tree/master/machine_learning/3_classification#week-7-scaling-to-huge-datasets--online-learning) | Scaling to Huge Datasets & Online Learning | -## Week 1: Linear Classifiers & Logistic Regression -**[Lecture](./lecture/week1)** -- [intro.pdf](./lecture/week1/intro.pdf) -- [logistic-regression-model-annotated.pdf](./lecture/week1/logistic-regression-model-annotated.pdf) -- module-2-linear-classifier-assignment-graphlab [[ipynb](./lecture/week1/quiz-Learning%20Linear%20Classifiers.ipynb)] [[nbviewer](http://nbviewer.jupyter.org/github/tuanavu/coursera-university-of-washington/blob/master/machine_learning/3_classification/lecture/week2/quiz-Learning%20Linear%20Classifiers.ipynb)] +## Week 1: Welcome -**[Assigment](./assignment/week1)** -- module-2-linear-classifier-assignment-graphlab [[ipynb](./assignment/week1/module-2-linear-classifier-assignment-graphlab.ipynb)] [[nbviewer](http://nbviewer.jupyter.org/github/tuanavu/coursera-university-of-washington/blob/master/machine_learning/3_classification/assigment/week1/module-2-linear-classifier-assignment-graphlab.ipynb)] -- quiz-week1-assignment.ipynb [[ipynb](./assignment/week1/quiz-week1-assignment.ipynb)] [[nbviewer](http://nbviewer.jupyter.org/github/tuanavu/coursera-university-of-washington/blob/master/machine_learning/3_classification/assigment/week1/quiz-week1-assignment.ipynb)] +**[Lecture](./lecture/week1)** +- [intro](./lecture/week1/01_slides-presented-in-this-module_intro.pdf) +- [Software tools](./lecture/week1/Software%20tools.pdf) -## Week 2: Linear Classifiers & Logistic Regression +## Week 2: Nearest Neighbor Search -### Learning Linear Classifiers +### The importance of data representations and distance metrics **[Lecture](./lecture/week2)** -- [logistic-regression-learning-annotated.pdf](./lecture/week2/logistic-regression-learning-annotated.pdf) +- [retrieval-intro-annotated](./lecture/week2/01_slides-presented-in-this-module_retrieval-intro-annotated.pdf) - quiz-Learning Linear Classifiers.ipynb [[ipynb](./lecture/week2/quiz-Learning%20Linear%20Classifiers.ipynb)] [[nbviewer](http://nbviewer.jupyter.org/github/tuanavu/coursera-university-of-washington/blob/master/machine_learning/3_classification/lecture/week2/quiz-Learning%20Linear%20Classifiers.ipynb)] + + **[Assigment](./assignment/week2)** - module-3-linear-classifier-learning-assignment-blank-graphlab.ipynb [[ipynb](./assignment/week2/module-3-linear-classifier-learning-assignment-blank-graphlab.ipynb)] [[nbviewer](http://nbviewer.jupyter.org/github/tuanavu/coursera-university-of-washington/blob/master/machine_learning/3_classification/assigment/week2/module-3-linear-classifier-learning-assignment-blank-graphlab.ipynb)] - quiz-week2-assignment1.ipynb [[ipynb](./assignment/week2/quiz-week2-assignment1.ipynb)] [[nbviewer](http://nbviewer.jupyter.org/github/tuanavu/coursera-university-of-washington/blob/master/machine_learning/3_classification/assigment/week2/quiz-week2-assignment1.ipynb)] diff --git a/machine_learning/README.md b/machine_learning/README.md index d4d3631..34be3e6 100644 --- a/machine_learning/README.md +++ b/machine_learning/README.md @@ -10,6 +10,7 @@ This repo contains lectures and my solution of assignment in [Machine Learning S | [Course 1](https://github.com/tuanvu216/coursera-university-of-washington/tree/master/machine_learning/1_machine_learning_foundations) | Machine Learning Foundations | | [Course 2](https://github.com/tuanvu216/coursera-university-of-washington/tree/master/machine_learning/2_regression) | Regression | | [Course 3](https://github.com/tuanvu216/coursera-university-of-washington/tree/master/machine_learning/3_classification) | Classification | +| [Course 4](https://github.com/tuanavu/coursera-university-of-washington/tree/master/machine_learning/4_clustering_and_retrieval) | Clustering & Retrieval | ## License