Update README.md

trieule94 · Jun 18, 2017 · c9fbf62 · c9fbf62
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@@ -79,7 +79,7 @@ We have applied SVD to topic modeling, background removal, and linear regression
   - [Two-phase approach to finding eigenvalues](http://nbviewer.jupyter.org/github/fastai/numerical-linear-algebra/blob/master/nbs/7.%20PageRank%20with%20Eigen%20Decompositions.ipynb#A-Two-Phase-Approach) 
   - [Arnoldi Iteration](http://nbviewer.jupyter.org/github/fastai/numerical-linear-algebra/blob/master/nbs/7.%20PageRank%20with%20Eigen%20Decompositions.ipynb#Arnoldi-Iteration)
 
-### 8. QR Factorization
+### [8. Implementing QR Factorization](http://nbviewer.jupyter.org/github/fastai/numerical-linear-algebra/blob/master/nbs/8.%20Implementing%20QR%20Factorization.ipynb)
   - [Gram-Schmidt](http://nbviewer.jupyter.org/github/fastai/numerical-linear-algebra/blob/master/nbs/8.%20Implementing%20QR%20Factorization.ipynb#Gram-Schmidt)
   - [Householder](http://nbviewer.jupyter.org/github/fastai/numerical-linear-algebra/blob/master/nbs/8.%20Implementing%20QR%20Factorization.ipynb#Householder)
   - [Stability Examples](http://nbviewer.jupyter.org/github/fastai/numerical-linear-algebra/blob/master/nbs/8.%20Implementing%20QR%20Factorization.ipynb#Ex-9.2:-Classical-vs-Modified-Gram-Schmidt)