Add reference for articles on Medium
A simplified API to Intel(R) oneAPI Data Analytics Library that allows for fast usage of the framework suited for Data Scientists or Machine Learning users. Built to help provide an abstraction to Intel(R) oneAPI Data Analytics Library for either direct usage or integration into one's own framework and extending this beyond by providing drop-in paching for scikit-learn.
+Running full scikit-learn test suite with daal4py optimization patches:
+
+- [![CircleCI](https://circleci.com/gh/IntelPython/daal4py.svg?style=svg)](https://circleci.com/gh/IntelPython/daal4py) when applied to scikit-learn from PyPi
+- [![CircleCI](https://circleci.com/gh/IntelPython/daal4py/tree/test-sklearn-master.svg?style=svg)](https://circleci.com/gh/IntelPython/daal4py/tree/test-sklearn-master) when applied to build from master branch
+
+## Follow us on Medium
+
+We publish blogs on Medium, so [follow us](https://medium.com/intel-analytics-software/tagged/machine-learning) to learn tips and tricks for more efficient data analysis the help of daal4py. Here are our latest blogs:
+
+- [Improve the Performance of XGBoost and LightGBM Inference](https://medium.com/intel-analytics-software/improving-the-performance-of-xgboost-and-lightgbm-inference-3b542c03447e)
+- [Accelerate Kaggle Challenges Using Intel AI Analytics Toolkit](https://medium.com/intel-analytics-software/accelerate-kaggle-challenges-using-intel-ai-analytics-toolkit-beb148f66d5a)
+- [Accelerate Your scikit-learn Applications](https://medium.com/intel-analytics-software/improving-the-performance-of-xgboost-and-lightgbm-inference-3b542c03447e)
+- [Accelerate Linear Models for Machine Learning](https://medium.com/intel-analytics-software/accelerating-linear-models-for-machine-learning-5a75ff50a0fe)
+- [Accelerate K-Means Clustering](https://medium.com/intel-analytics-software/accelerate-k-means-clustering-6385088788a1)
+
+## Important links
- [Documentation](https://intelpython.github.io/daal4py/)
- [scikit-learn API and patching](https://intelpython.github.io/daal4py/sklearn.html#sklearn)
- [Source Code](https://github.com/IntelPython/daal4py/tree/master/src)
- [Building from Sources](INSTALL.md)
- [About Intel(R) oneAPI Data Analytics Library](https://oneapi-src.github.io/oneDAL/)
-Running full scikit-learn test suite with daal4p's optimization patches
-
-- [![CircleCI](https://circleci.com/gh/IntelPython/daal4py.svg?style=svg)](https://circleci.com/gh/IntelPython/daal4py) when applied to scikit-learn from PyPi
-- [![CircleCI](https://circleci.com/gh/IntelPython/daal4py/tree/test-sklearn-master.svg?style=svg)](https://circleci.com/gh/IntelPython/daal4py/tree/test-sklearn-master) when applied to build from master branch
-
# Installation
daal4py can be installed from conda-forge (recommended):
```bash
