Up until last article, I discussed about SVM and its underlying mathematics using very simple linear separable dataset involving only two features (), thereby expressing the effect of classifier in simple XY coordinates. SVM is one of the most successful
Fintech industries have been catching up quite well in blending advance analytics with RPA (Robotic Process Automation) implementation in its business process in the journey of digital transformation. Human time is too expensive to be wasted in carrying out mundane and
Artificial Intelligence and related terms such as Cognitive computing, Data Science, Robotics, Predictive Analysis, Machine Learning etc. have been drawing attention over the past few years of almost all institutions and not limiting to only business, technical or academics. AI
Imagine a customer is entering the retail shop and we want all crucial data points about him or her (viz. buying behavior, interest area, personality traits, recent purchase etc.) available instantly to enable salesman to make an adequate sales pitch,
Context: Digital economy needs much better network capacity (bandwidth) and broader coverage (access) than what is mostly available today. We have estimated the projection of 50 Billion devices talking to each other by 2020 in the course of IoT evolution.
Digitalization: The Economy booster Digital wave is taking shape in various segments of business transactions including manufacturing, Insurance, Banking, Law, Legal, Education etc. According to Gartner, Digitalization is the use of digital technologies to change a business model and provide new revenue