From 936dda6478e80606335aead1a2b5b903c241967c Mon Sep 17 00:00:00 2001 From: Tuan Vu Date: Fri, 21 Oct 2016 20:22:54 -0700 Subject: [PATCH] README --- .../4_clustering_and_retrieval/README.md | 14 +++++++------- 1 file changed, 7 insertions(+), 7 deletions(-) diff --git a/machine_learning/4_clustering_and_retrieval/README.md b/machine_learning/4_clustering_and_retrieval/README.md index f2d51e1..b170a85 100644 --- a/machine_learning/4_clustering_and_retrieval/README.md +++ b/machine_learning/4_clustering_and_retrieval/README.md @@ -36,17 +36,17 @@ Clustering & Retrieval #### Scaling up k-NN search using KD-trees -**Lecture** -- quiz-KD-trees.ipynb [[ipynb](./lecture/week2/quiz-KD-trees.ipynb)] [[nbviewer](http://nbviewer.jupyter.org/github/tuanavu/coursera-university-of-washington/blob/master/machine_learning/4_clustering_and_retrieval/lecture/week2/quiz-KD-trees.ipynb)] +- __Lecture__ + - quiz-KD-trees.ipynb [[ipynb](./lecture/week2/quiz-KD-trees.ipynb)] [[nbviewer](http://nbviewer.jupyter.org/github/tuanavu/coursera-university-of-washington/blob/master/machine_learning/4_clustering_and_retrieval/lecture/week2/quiz-KD-trees.ipynb)] #### Locality sensitive hashing for approximate NN search -- **Lecture** -- quiz-Locality Sensitive Hashing.ipynb [[ipynb](./lecture/week2/quiz-Locality%20Sensitive%20Hashing.ipynb)] [[nbviewer](http://nbviewer.jupyter.org/github/tuanavu/coursera-university-of-washington/blob/master/machine_learning/4_clustering_and_retrieval/lecture/week2/quiz-Locality%20Sensitive%20Hashing.ipynb)] +- __Lecture__ + - quiz-Locality Sensitive Hashing.ipynb [[ipynb](./lecture/week2/quiz-Locality%20Sensitive%20Hashing.ipynb)] [[nbviewer](http://nbviewer.jupyter.org/github/tuanavu/coursera-university-of-washington/blob/master/machine_learning/4_clustering_and_retrieval/lecture/week2/quiz-Locality%20Sensitive%20Hashing.ipynb)] -- **Assignment** -- 1_nearest-neighbors-lsh-implementation_graphlab.ipynb [[ipynb](./assignment/week2/1_nearest-neighbors-lsh-implementation_graphlab.ipynb)] [[nbviewer](http://nbviewer.jupyter.org/github/tuanavu/coursera-university-of-washington/blob/master/machine_learning/4_clustering_and_retrieval/assigment/week2/1_nearest-neighbors-lsh-implementation_graphlab.ipynb)] -- quiz-week2-assignment2.ipynb [[ipynb](./assignment/week2/quiz-week2-assignment2.ipynb)] [[nbviewer](http://nbviewer.jupyter.org/github/tuanavu/coursera-university-of-washington/blob/master/machine_learning/4_clustering_and_retrieval/assigment/week2/quiz-week2-assignment2.ipynb)] +- __Assignment__ + - 1_nearest-neighbors-lsh-implementation_graphlab.ipynb [[ipynb](./assignment/week2/1_nearest-neighbors-lsh-implementation_graphlab.ipynb)] [[nbviewer](http://nbviewer.jupyter.org/github/tuanavu/coursera-university-of-washington/blob/master/machine_learning/4_clustering_and_retrieval/assigment/week2/1_nearest-neighbors-lsh-implementation_graphlab.ipynb)] + - quiz-week2-assignment2.ipynb [[ipynb](./assignment/week2/quiz-week2-assignment2.ipynb)] [[nbviewer](http://nbviewer.jupyter.org/github/tuanavu/coursera-university-of-washington/blob/master/machine_learning/4_clustering_and_retrieval/assigment/week2/quiz-week2-assignment2.ipynb)] ## Week 3: Clustering with k-means