ML Models – Random Notes 1
As always been interested to explore technology, Machine Learning has been in my mind for quite some time now. The pre-requisites to know or get into ML have always been associated with a Ph.D. Degree, High-end mathematics, and obviously a ton of understanding around software engineering. As the platform and technology evolved ease of learning machine learning is becoming more and more approachable for most people.
I tried to understand ML and implemented a few models before using different frameworks. I have started with Tensorflow in my free time and then took some internal training and each training had each frame work, initially, it was Apache MXNet, later it was Pytorch, my head was both in the right place and not in the right place I should say, I prefer widely a practical approach to things and was trying to deploy few models from everyday scenarios that am around, I focussed mostly on getting the model deployment with the platform/framework while I have pushed the technicalities for later part of the study which usually works for me, this time as this is not a full-time profession nor I have any intentions to get into this as a full-time ML Continue reading











