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