In the last post, we talked about how to estimate the coefficients or weights of linear regression. We estimated weights which give the minimum error. Essentially it is a...
This problem appeared as an assignment in the online coursera course Convolution Neural Networks by Prof Andrew Ng, (deeplearing.ai). The description of the problem ...
Remember the ASA statement on p-values from last year? The profession is getting together today and tomorrow (Oct. 11/12, 2017) for a “big think” on the problem. Jo...
Summary: Digital Twins is a concept based in IoT but requiring the skills of machine learning and potentially AI. It’s not completely new but it is integral to Gart...
The narrow-sensed OLAP OLAP is part and parcel of a BI application. As the name suggests, the word is an acronym for online analytical processing. Users, frontline employ...
This was originally posted here Deep Learning gets more and more traction. It basically focuses on one section of Machine Learning: Artificial Neural Networks. This artic...
I came across a jaw-dropping article from the Brookings think tank two weeks ago. The column noted that “household employment data reported by the Bureau of Labor...
The level in this article is for college students familiar with calculus, This material will be also of interest to college professors looking for new material to teach, ...
As we move into 2018, Analytical Data Infrastructure (ADI) is becoming a significant topic in business intelligence and analytics. Where Big Data was once an over-hyped, ...
The level in this article is for college students familiar with calculus, This material will be also of interest to college professors looking for new material to teach, ...