Picking up on the last article where we talked about the first few steps we take when exploring our data, the last step i.e Data cleaning is probably the most time and resource intensive step. One of the first things you do when presented with a data sample (probably even before the Explore and Correlate […]
Category Archives: Machine Learning
ML Series – #3:-Data in/ Data out or Garbage in/ Garbage out?
Now that we have looked at the broad categories in which we can slot Machine Learning programs, it is time to focus on the MOST important aspect of a ML system :- Data. Understanding your data, analyzing it , cleaning it and preparing it for Machine Learning is an extremely tedious ( maybe only 2nd […]
ML Series – #1:-The small world of Machine Learning!
We recently drew out some super simple mind maps to introduce the “universe” of Machine learning to new ML Candidates who might get overwhelmed by the plethora of terms and concepts mentioned on the great world wide web!! Essentially when you see a machine learning related problem statement what should be your starting points? […]
A Web App to improve your Azure Machine Learning Experience!
As soon as we created our first Azure ML experiment we were eager to share it with other team mates and get their views…and we hit our first hurdle..there was no way to share the published experiment with others unless we quickly created a console app and copy paste the code that Azure has provided […]
A Beginners ramp up path to Azure Machine Learning
BigData, Analytics and Machine learning are new buzzwords everywhere you look and its easy to get overwhelmed with information when you decide to start ramping up on these! As part of an internal experiment we are doing at Cennest we’ve logged out our “learning path” for Machine learning which would take an application developer to […]