You have already built models using ML Studio and have realized how easy and powerful it is. Despite a lot of ready-to-use modules available in ML Studio, there are still many tasks which can't be done inside ML Studio to build a required model and solve a problem at hand. Microsoft realizes this, so allows you to extend your experiments beyond the capability of ML Studio by writing code in either R or Python.

This chapter introduces you to the process of integrating your code in your experiment. You don't need any prior skills in Python or R to successfully finish this chapter. However, you can get the best out of this if you have some exposure to any of these two languages. Also, if you want to work with Azure ML at the professional level, it is highly recommended that you gain some skills either in R or Python. If you already know Python or are choosing to pick it up, then you should get exposure to Pandas library; especially, you should learn...