Machine Learning through Open Source: Podcast with Mr. Prajod S Vettiyattil, Enterprise Architect, Wipro

I just saw that beautiful dress that I was ogling at yesterday. And guess what, I saw it on a technical blog I was reading. How does the blog know my preference? Well, the answer is machine learning. The ability of a computer or a device to detect patterns and behave accordingly without being explicitly programmed to do so is machine learning. This term has literally taken the market by storm recently and its applications are vast, interesting and worth exploring.

While everyone in the field is either busy exploring machine learning or building machine learning applications, a lot still remains to be explored and unveiled. To take a further insight into the vast field and to also know how open source frameworks are used for building machine learning applications, we invited Mr. Prajod S. Vettiyattil from Wipro to HackerEarth office to speak to us at a podcast. The excerpts from the podcast can be accessed below:

The core driving principle for machine learning and what makes it a buzz word:

https://api.soundcloud.com/tracks/247656604

What has made machine learning become so mainstream in the last 5 years?

What is a good tech stack for machine learning?

https://api.soundcloud.com/tracks/247656581

Real world problems that are being tackled by ML:

https://api.soundcloud.com/tracks/247656573

What are the complex and illusive problems that ML may solve in future?

https://api.soundcloud.com/tracks/247656568

Can machines behave against our welfare and what are the checks being placed to avoid that?

https://api.soundcloud.com/tracks/247656563

Despite of the existence of big data, why is there a lack of tangible data to build ML systems?

https://api.soundcloud.com/tracks/247656560

Would large ML systems be concentrated with few big organizations because of data availability?

What pitfalls should be avoided while building ML systems?

Initiatives that wipro has taken to promote open source generally and with respect to ML:

https://api.soundcloud.com/tracks/247656538

Tackling challenges when changes are to be made to open source framework while building systems:

Simple ways to start with machine learning and how to develop a career in it: