Tech

Correlation – II

Please don't begin reading this without reading correlation - I In this one, we discuss how to calculate the strength of a correlation. VECTOR COLINEARITY We l... Read More...

Correlation – I

CONCEPT OF A RELATION Saying things are related means that one thing can be expressed in terms of the other thing. For example, saying that behavior of parent ... Read More...

Things school should teach us – significance of area in modelling data

We learn about area in elementary school. The most fundamental notion is land area. Look at the figure below. We can think of the rectangle as a slab of land.... Read More...

Error minimization – The holy grail of machine learning

In many cases, the objective of machine learning is to reduce the error between the data prediction and the true prediction. For example, we might know that th... Read More...

Data patterns – IV

In Data Patterns - III we discussed z score and the area under the normal curve table. Let us now look at some practical problems using the table. Problem 1: 5... Read More...

Data patterns – III

In Data Patterns - II we introduced the normal distribution. In this post, we're going to introduce a related concept called the z score. The whole point of co... Read More...

Data patterns – II

In Data patterns - I we touched on the importance of data patterns in evidence based sciences. Then we introduced the absolute fundamentals of data patterns --... Read More...

Data patterns – I

Data can be anything. If you're collecting heights, then it would be a bunch of measurements in feet and inches. Or, if you're collecting house prices, then it... Read More...

AI FUNDAMENTALS: KNOWLEDGE SYSTEMS – I

INTRODUCTION People have knowledge stored in their memory. Without that knowledge, intelligent decision making would be impossible. Thus, intelligence draws, i... Read More...

AI FUNDAMENTALS – WHY GEOMETRICAL REPRESENTATIONS WORK FOR ANYTHING

INTRODUCTION In the previous post, we talked about the significance of numbers and their representations in AI. If you haven't read it yet, I strongly recommen... Read More...