R-squared measures how well your data fits a regression line. More specifically, it’s how much variation in the response variable your linear model explains. it i...
I pulled out a dusty copy of Thinking Stats by Allen Downey the other day. I highly recommend this terrific little read that teaches statistics with easily understood e...
The energy industry is undergoing a rapid transformation in recent past owing to the enhanced role of renewables and enhanced data-driven models making the value chain sm...
Introduction Data science is a multidisciplinary blend of data inference, algorithm development, and technology in order to solve analytically complex problems. At the co...
The future offers interesting and exciting times ahead for most businesses. With data being a big influencer in the enterprise of the future, it is a matter of time befor...
What is the factory of the future? Is it a synonym to Industry 4.0, or is it a different concept in its own right? Industry 4.0 and the factory of the future might sound ...
The analytics market is booming, and so is the use of the keyword – Data Science. Professionals from different disciplines are using data in their day to day activities...
Here is a simple trick that can solve a lot of problems. You can not trust a linear or logistic regression performed on data if the error term (residuals) are auto-correl...
The benefits of AI for healthcare have been extensively discussed in the recent years up to the point of the possibility to replace human physicians with AI in the futu...
Introduction One of the major reasons organizations migrate to the AWS cloud is to gain the elasticity that can grow and shrink on demand, allowing them to pay only for r...