Why Digital Twins & BCI Complement Each Other ?
Elon Musk has a history with drilling holes. First, The Boring Company. Now, Neuralink. Musk wants to drill
The (Decision) Trees leads to the (Random) Forest!
Many a times, we are overwhelmed with the size of a problem, and left confounded. A common and an effective
Logistic Regression: The Discrete Beauty!
“Why was your recent credit card application rejected? How did your telecom service provider figure out you were unhappy? How
Regression: The Crystal Ball of Machine Learning!
Despite the regressive tonality to the word, regression is one of the widely used techniques, in the field of Machine
The Hypothesis of Everything!
In my previous blog, I briefly touched upon the concept of hypothesis. Let’s get to see it in detail,
Machines – How do they learn?
In my previous blog, I covered the relevance of Business Analytics and Machine Learning, followed by the various types of
“Show, don’t tell” – The Important of Visualisation
My previous blog, on Business Intelligence covered Descriptive Analytics, and the elements of understanding the data. In this blog, the
Business Intelligence – The bridge between Head and Heart!
In my previous blog, I wrote about Descriptive Analytics – “what happened in the past” – as the route to Business Intelligence.
Why should the Machines learn?
The machines, as we know of until recently, takes instructions from the human masters, and execute them. Humans have “codified”
