## Ford-Fulkerson Max Flow Algorithm

In this post I will step through the execution of the Ford-Fulkerson Max Flow algorithm using the Edmond-Karp Breadth First Search method. If you are learning this for the first time I suggest you...

## Lambda Calculus Notes

The following are my brief notes on the basic of Lambda Calculus. They are primarily just a public posting of my personal notes, and are not meant to be a tutorial per-se. Though it...

## Japanese: Casual Negative (ない) Verb Conjugation

Japanese: Casual Negative (ない) Verb Conjugation When speaking in Japanese, like many other languages, you relation to the person you are talking to determines whether you will should use the polite or casual speech. Yet,...

## Exploring Logistic Regression

In this post I will explore logistic regression, a technique used to predict class membership given some set of parameters. The method of exploration will be though an example, in which I will building...

## Japanese: Polite Form (masu – ます) Verb Conjugation

Japanese: Polite Form (masu – ます) Verb Conjugation When speaking in formal situations (i.e. speaking publicly, talking to a superior, older person. etc.) the use of the polite form, as opposed to the casual,...

## Identifying Japanese Verb Groups

Identifying Japanese Verb Groups is Hard, and Tedious I, like many Japanese learners, have always struggled with identifying Japanese verb groups. Usually this information is presented in long, and boring,  tables. For visual learners, like...

## The Linear Regression Cost Function in Matrix Form

Preliminaries In this tutorial I will describe the implementation of the linear regression cost function in matrix form, with an example in Python with Numpy and Pandas. If you would like to jump to...

## The Normal Equation for Linear Regression in Matrix Form

In this tutorial I will go through an simple example implementing the normal equation for linear regression in matrix form. The iPython notebook I used to generate this post can be found on Github. The primary focus...