resources-links.md

@@ -2,24 +2,11 @@
 
 # Books :
 
-A large number of books are available.  
-We have retained these :
-
-[<img width="200px" src="uploads/44e91b021a9d049abfd6a66a264d4a50/ApprentissageProfondFC.jpg">](https://machinelearning.fr/product/lapprentissage-profond-avec-python-francois-chollet/)\
-Par **François Chollet**, auteur de Keras.\
-https://machinelearning.fr/product/lapprentissage-profond-avec-python-francois-chollet/
-
-[<img width="160px" src="uploads/2b81aaa5d39101b9f123b4b3f1efb1ad/Deep-Learning-with-Python.jpg"></img>](https://www.manning.com/books/deep-learning-with-python)  
-https://www.manning.com/books/deep-learning-with-python  
-
-[<img src="uploads/2900cd33210320007f61927241b97aa6/Machine-Learning-avec-Scikit-Learn-ed2.jpg"></img>](https://www.dunod.com/sciences-techniques/machine-learning-avec-scikit-learn-mise-en-oeuvre-et-cas-concrets-0)  
-https://www.dunod.com/sciences-techniques/machine-learning-avec-scikit-learn-mise-en-oeuvre-et-cas-concrets-0
-
+A large number of books are available...<br>
 **Think about the online university library (Grenoble) !**  
 Online E-books @Grenoble **http://unr-ra.scholarvox.com.sidnomade-1.grenet.fr/**
 
-# Web tutorials
-## Python
+# Python
 - **The Hitchhiker’s Guide to Python !** (full text)<br>
   https://docs.python-guide.org/
 - **Python Data Science Handbook** (full text) <br>
@@ -35,13 +22,13 @@ Online E-books @Grenoble **http://unr-ra.scholarvox.com.sidnomade-1.grenet.fr/**
 - **Explore and get fluent in 67 programming languages (including python)**<br>
   https://exercism.org/
 
-## Useful addresses
+# Useful addresses
 - **kaggle - data challenge**<br>
   https://www.kaggle.com
 - **Publications and associated codes**<br>
   https://www.paperswithcode.com/
 
-## Videos
+# Videos
 - **Chaine de Thibault Neveu**<br>
   https://www.youtube.com/channel/UCVso5UVvQeGAuwbksmA95iA
 - **datacamp / Introduction to deep learning**<br>