You might remember linear regression from statistics as a method to produce a linear equation that models the relationship between two variables. Not surprisingly, linear regression is quite similar in machine learning, except that the focus is on the prediction rather than the interpretation of data. Regression is a supervised learning algorithm (if you remember from my previous blog) that predicts real-valued output when given an input. In this blog post, I will discuss the model representation of simple linear regression and introduce its cost function.
There are two widely accepted definitions of machine learning. The phrase is first coined in 1959 by computer scientist Arthur Lee Samuel, who trained a computer program to play checkers with humans. He later described his work as “the field of study that gives computers the ability to learn without being explicitly programmed.” Decades later, Professor Tom Mitchell coined a more modern and formal definition: “A computer program is said to learn from experience E with respect to some class of tasks T and performance measure P, if its performance at tasks in T, as measured by P, improves with experience E.”
Why machine learning? It all started back in August when I was getting Westtown Resort ready for this school year.
As I briefly mentioned in my previous blog posts, Resort utilizes a MySQL data table that resembles this one:
It has been nearly a year since I last opened Xcode, Apple’s development environment for iOS and watchOS. One day, when I was rushing to an early morning class, I subconsciously patted my left pocket and realized that I had left my phone in my dorm room. I also took notice that I was wearing my Apple Watch, the device that I frequently use to ping my iPhone when I misplace it. While the watch does help me find my phone by allowing me to play a ringing sound on my phone, it doesn’t do so proactively. Wouldn’t it be nice to have an app on my Apple Watch that notifies me when the iPhone is out of range, I thought.
In my previous blog post, I briefly mentioned the differences between a Virtual Private Server (VPS) and Shared Web Hosting service and cross compared the three major VPS providers. In this blog post, I will continue my tutorial by detailing the process of setting up a Droplet (DigitalOcean’s way of calling their VPS instances) with DigitalOcean.
A friend of mine and a regular reader of this blog recently requested that I write a tutorial on setting up a web server. To honor his request, I will devote this week’s blog post to the subject of web hosting. I will not, however, cover the programming aspect of web development as I assume that the readers of this tutorial already know how to write a website in HTML, CSS, PHP, Java, etc. I will also not be writing about the all-in-one website builders such as Squarespace and Wix for the same reason.
Maybe it is too early for me to make a dinner dance proposal, but I did receive an invitation from T. Carrie Brodsky, the senior class advisor, who asked me to create a ticketing system for the 2017 Dinner Dance. In this blog post, I will explain what the ticketing system was like in 2016 and briefly introduce the new ticketing system I am currently developing.
Polaris began its beta testing on February 22, 2017. Over the past two weeks, over 250 students, duty crew members, duty administrators (DA), and weekend coordinators have started using Polaris. From such as diverse group of users, I have received much valuable feedback and made adjustments to Polaris accordingly. In this week’s blog post, I will detail some of the user responses and how they are addressed.
A lot of people have asked me about Polaris since its launch. The question is usually brought up during brief conversations:
A person would ask, “Hey Kevin, how’s Polaris going?”
My reply is always very terse: “Pretty well!”
“Good! When is it going to be available?”
Over the past week, I have been working very closely with the technology office to deploy Polaris. To my surprise, my first week’s work has turned out to be very challenging. I have encountered numerous problems with both the server and Polaris itself. In this blog post, I will be discussing some of these problems as well as the lessons I learned from them.