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Multiprocessing Snippet in Python

Sometimes it's nice to just have a simple function that does unordered multiprocessing in Python with a progress bar. Is that too much to ask? Because I found myself writing this again and again, here it is so that you may copy and paste indiscriminately. from typing import List, TypeVar,

Deploying Your Data Science Projects in JavaScript

Deploying Your Data Science Projects in JavaScript

Pushing a React client, Python JSON API, and SSL certificate from Let's Encrypt to DigitalOcean in an hour For my latest project, I decided to use React for most of my exploratory data analysis (EDA) and needed a drop-dead simple JSON API for serving up the necessary data to avoid

Speed Up Your Data Processing with Macros

Speed Up Your Data Processing with Macros

When it comes to preprocessing, data scientists can jump a bit too quickly to a full blown script in their favorite language... I was able to employ a quick Vim macro to quickly transform some structured text into a Python dictionary that I could use for preprocessing references.

Data Science from Concept to Production: A Case Study of Automatic Building Footprint Segmentation

Data Science from Concept to Production: A Case Study of Automatic Building Footprint Segmentation

Using Deep Learning and Computer Vision techniques, aerial imagery can be analyzed to automatically predict or augment structure annotations in both form and area...

Transfer Files Using Netcat

nc is an excellent command line tool available on *nix systems. One of the quick tips is using it to transfer from one machine to another. Assuming your receiving machine is at 10.0.0.2 and your sending machine is 10.0.0.3, we can use the following

Testing for the Data Scientist

Testing for the Data Scientist

As I delve into data science more myself, I am surprised at the unfortunate inattention paid to the lessons already learned by software engineers, particularly around testing and clean code.

Quick Tip: Image Resize Prep for Training

Quick Tip: Image Resize Prep for Training

When designing and working with neural networks, a common requirement is having a fixed image dimensions for inputs... By handling the image resizing beforehand, the training phase will be able to progress without as much overhead and thereby allow for tighter feedback loops.

Eye Tracking: Activation Functions

Eye Tracking: Activation Functions

While experimenting with multiple architectures, I took the opportunity to step back and consider how I might confine the output of the neural network to be a bit more specific to the GazeCapture of iOS devices.

Eye Tracking Update: Neural Network Architecture and Loss Functions

Eye Tracking Update: Neural Network Architecture and Loss Functions

Background As a part of my graduate studies at Regis University, I have had the opportunity to begin exploring my own project during my Deep Learning class. (Data Source) By using this data set before my practicum (Spring 2019), I hope to not only explore and model some interesting data

GPUs or CPUs for Deep Learning?

GPUs or CPUs for Deep Learning?

Photo [https://www.pexels.com/photo/blur-close-up-computer-device-343239/] by Jordan Harrison [https://www.pexels.com/@jord] from Pexels [https://www.pexels.com/] The repurposing and expansion of GPUs for neural network calculations has revolutionized the possibilities of deep neural network architectures and made large, general-purpose models like Inception and RestNet computationally

An Intro into Ethical Issues of Data Science

An Intro into Ethical Issues of Data Science

Data is everywhere. Now more than ever, the internet has exploded with almost inconceivable amounts of data just waiting to be mined by the eager researcher. The industry is continually discovering new and innovative ways to apply this data from music recommendations to disease prediction.