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
[http://www.vijayraghunathan.com/machines-how-do-they-learn/], I briefly touched
upon the concept of hypothesis. Let’s get
Machines – How do they learn?
In my previous blog
[http://www.vijayraghunathan.com/the-big-picture-of-analytics-machine-learning/]
, I covered the relevance of Business Analytics and Machine Learning, followed
“Show, don’t tell” – The Important of Visualisation
My previous blog
[http://www.vijayraghunathan.com/business-intelligence-the-bridge-between-head-and-heart/]
, on Business Intelligence covered Descriptive Analytics, and the elements of
understanding the
Business Intelligence – The bridge between Head and Heart!
In my previous blog
[http://www.vijayraghunathan.com/the-big-picture-of-analytics-machine-learning/]
, I wrote about Descriptive Analytics – “what happened in the past” – as
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”
Problem solving framework for analytics
In my previous blogs, I covered the several types of analytics
[http://www.vijayraghunathan.com/the-big-picture-of-analytics-machine-learning/]
(descriptive, predictive, and prescriptive)
