This post is about ‘When 20th century electricity meets 21st century electricity i.e. Artificial Intelligence.
Andrew Ng has famously quoted
Artificial Intelligence is the new…
Descriptions of different terms of the bayes theorem.
What is bayes theorem?
Bayes theorem determines a probability of an occurrence of an event based on the prior knowledge of occurrence of that event or knowledge of conditions that may…
In the last post we learnt what is linear regression, now lets try to implement it in tensorflow.
Lets represent the linear regression model first.
Y = X * W + b
Linear Regression is one of the oldest and the simplest technique that is still used heavily till date. Lets see what is linear regression?
Linear regression is a statistical technique which helps us summarize and analyze…
To quickly recap how a tensorflow program executes.
In tensorflow Constants, Variables & Operations are collectively called ops.
In the introduction post about tensorflow we saw how to write a basic program in tensorflow. Also about graphs, sessions and how they work. Now lets explore further and dig deep into…
What is a Chinese restaurant process (CRP)?
Let’s see what wikipedia has to say about CRP.
Imagine a Chinese restaurant with an infinite number of circular tables, each with infinite capacity. Customer 1 sits at the first table…
I was curious if we could apply the regression or other statistical/machine-learning…
Simple Definition:
A collection of similar objects to each other.
Slightly Complex Definition:
A connected component…