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