A Data Science Central Community
We live in the era of data. Its almost inevitable now that we need to delegate our knowledge and understanding of the world to computers who can model this behaviour on a large scale. So, this is the age of machine learning.
Machine Learning is the art and science of making a computer perform a specific task without explicitly programming it.
With the advent of BIG data, enterprises are sitting at lots of data that is not being utilized effectively. By iteratively exploring data, computers can be made to find hidden patterns in the data, without explicitly programming where to look for it. Let us browse through some examples of what systems have machine learning at their core -
You need to have a passion to look at data and you need to have a passion about solving real life problems. That's all it takes to get you started. In this series we will be exploring a lot about understanding how these algorithms work and how best to implement them. Mostly I will try to use the python programming language to explain things, but the discussions can be applied to any other programming language as well.
Being an ardent data enthusiast, I will be going over some of the techniques and systems that I have explored, the problems I have looked at and some of the ways in which we can take a stab at it. I hope you have an intuition about what is machine learning and I cant wait to hear from you on what you think. I can also expect some of the problems you are working on and how best to approach to the solution. You can connect with me at the Contact Page.
References http://oliviaklose.com/content/images/2015/10/MLseries-1.pngfor the cover image
Originally Posted here.