README.md installation instructions added

Author: cosmic-cortex

README.md

@@ -11,6 +11,8 @@ Modular Active Learning framework for Python3
   - [Replacing parts quickly](#replacing-parts)  
   - [Replacing parts with your own solutions](#replacing-parts-with-your-own-solutions)  
   - [Working examples](#working-examples)  
+- [Installation](#installation)  
+- [Documentation](#documentation)  
 - [About the developer](#about-the-developer)
 
 ## Introduction<a name="introduction"></a>
@@ -89,5 +91,21 @@ To see modAL in *real* action, visit the examples section!
 - [Bootstrapping and bagging](https://cosmic-cortex.github.io/modAL/Bootstrapping-and-bagging)  
 - [Keras integration](https://cosmic-cortex.github.io/modAL/Keras-integration)
 
+## Installation<a name="installation"></a>
+modAL requires
+- Python >= 3.5
+- NumPy >= 1.13
+- SciPy >= 0.18
+- scikit-learn >= 0.18
+
+You can install modAL directly with pip:
+```pip install modAL```
+Alternatively, you can install modAL directly from source:
+```pip install git+https://github.com/cosmic-cortex/modAL.git```
+
+## Documentation<a name="documentation"></a>
+
+You can find the documentation of modAL at [https://cosmic-cortex.github.io/modAL](https://cosmic-cortex.github.io/modAL), where several tutorials and working examples are available, along with a complete API reference. For running the examples, Matplotlib >= 2.0 is recommended.
+
 ## About the developer<a name="about-the-developer">
 modAL is developed by me, [Tivadar Danka](https://www.tivadardanka.com) (aka [cosmic-cortex](https://github.com/cosmic-cortex) in GitHub). I have a PhD in pure mathematics, but I fell in love with biology and machine learning right after I finished my PhD. I have changed fields and now I work in the [Bioimage Analysis and Machine Learning Group of Peter Horvath](http://group.szbk.u-szeged.hu/sysbiol/horvath-peter-lab-index.html), where I am working to develop active learning strategies for intelligent sample analysis in biology. During my work I realized that in Python, creating and prototyping active learning workflows can be made really easy and fast with scikit-learn, so I ended up developing a general framework for this. The result is modAL :) If you have any questions, requests or suggestions, you can contact me at <a href="mailto:[email protected]">[email protected]</a>! I hope you'll find modAL useful!