Machine Learning and Artificial Intelligence are among the most rapidly growing branches of data analytics today. In recent times, there has been a steady rise in the number of professionals looking to arm themselves with the skills needed to make their mark in these fields. You don’t necessarily need a technical background to become a Machine Learning expert, as one of Jigsaw Academy’s former students has shown.
Madhukar Jha, a graduate from the first batch of our PGPDM course, has spent the last year or so honing and refining his Machine Learning skills. He has written an exhaustive post, detailing the nine steps he took towards becoming an expert in the field. It covers just about everything you would need to know, from understanding the basics to learning R and Python, as well as the ideal data projects to help build your data expertise. In the post, Madhukar also touches upon the importance of learning elementary statistics, which goes a long way towards gaining a better understanding of Machine Learning concepts later on.
While mastering any branch of data analytics does require a certain amount of self-study, this post provides excellent insight into how you can get started if you are looking to break into the world of Machine Learning.’
The Postgraduate Program in Data Science and Machine Learning (PGPDM), is a collaborative program between Jigsaw Academy, the University of Chicago and IBM. You can find out more about it, and download the brochure here.