Sentiment Analysis on Lyrics

 This blog post is on song lyric sentiment. Feel free to fork this code from GitHub. Sentiment Analysis is one of the techniques of NLP (Natural Language Processing). It is part of NLU (Natural Language Understanding). It allows us to classify the sentiment of a text, positive or negative, according to the words it contains. […]

What Is Data Science, and What Does a Data Scientist Do?

Introduction What profession did Harvard call the Sexiest Job of the 21st Century? That’s right… the data scientist. Ah yes, the ever mysterious data scientist. So what exactly is the data scientist’s secret sauce, and what does this “sexy” person actually do at work every day? This article is intended to help define the data […]

How Does the Random Forest Algorithm Work in Machine Learning

In this article, you are going to learn the most popular classification algorithm. Which is the random forest algorithm. In machine learning way fo saying the random forest classifier. As a motivation to go further I am going to give you one of the best advantages of random forest. Random forest algorithm can use both […]

Some fun with π in Julia

This post is available as a Jupyter notebook here π in Julia (Simon Byrne) Like most technical languages, Julia provides a variable constant for π. However Julia’s handling is a bit special. pi π = 3.1415926535897… It can also be accessed via the unicode symbol (you can get it at the REPL or in a […]

Song Lyrics Across the United States

The inspiration for this post is a joint venture by both me and my husband, and its genesis lies more than 15 years in our past. One of the recurring conversations we have in our relationship (all long-term relationships have these, right?!) is about song lyrics and place names. I think the first time we […]

Deep Learning Research Review Week 1: Generative Adversarial Nets

This week, I’ll be doing a new series called Deep Learning Research Review. Every couple weeks or so, I’ll be summarizing and explaining research papers in specific subfields of deep learning. This week I’ll begin with Generative Adversarial Networks.  Introduction According to Yann LeCun, “adversarial training is the coolest thing since sliced bread”. I’m inclined […]

What is knyfe?

Knyfe is a python utility for rapid exploration of datasets. Use it when you have some kind of dataset and you want to get a feel for how it is composed, run some simple tests on it, or prepare it for further processing. The great thing about knyfe is that you don’t have to know […]

Decision Trees Tutorial

Would you survive a disaster? Certain groups of people, such as women and children, might be entitled to receiving help first, granting them a higher chance of survival. Knowing whether you belong to one of these privileged groups would help predict whether you would make it out alive. To identify which groups have higher survival rates, […]

Classifying segmented strokes as characters – Part 3 of an ...

In part two of my XKCD font saga I was able to separate strokes from the XKCD handwriting dataset into many smaller images. I also handled the easier cases of merging some of the strokes back together – I particularly focussed on “dotty” or “liney” type glyphs, such as i, !, % and =. Now […]