Hi.
In this video we will learn what is lax and how to use it in our Jupyter
Notebooks.
LAX is a system for high quality technical type setting. Uh,
basically it is a tool for writing mathematical expressions and equations.
We can embed Latinx expressions into markdown cells of our notebooks.
I'll show it to you on our example because the next step after the correlation
analysis will be that we will create a simple regression model of two variables,
which I selected,
but it will be nice if we had in our notebook description of a simpler
regression with its nice formatted equation and our loss function equation.
Let's create a new section called linear regression.
I have the text and equations prepared. Uh, so let's explore it.
You see the equation for simple immuno regression. This is this one.
Uh, also it's parameters and, uh, the equation for the loss function.
They are rendered in a very nice scientific way. The
latex expressions, they start with dollar sign and,
and with dollar sign as well.
And if you want to have it on a new line centered,
you have to input a double dollar sign.
There are many expressions like operators balls, uh, grid letters,
uh, and so on,
and you can explore it in more in provided references.
In our next video,
we will explain a more simple in our regression and we will code our regression
model using circuit learn.