by Lucian Lita – 5 min read
If you find yourself in this predicament, consider this: your hiring criteria may be off and your candidate pool may be too narrow.
Youtube Views Predictor
by Aravind Srinivasan – 10 min read
Over the past 5 years YouTube has paid out more than $5 billion to YouTube content creators. Popular YouTuber PewDiePie made $5 million in 2016 from YouTube alone, not including sponsorships, endorsements and other deals outside of YouTube.
VideoFi – Annotating videos and finding insights simplified
by Shivangi Shroff – 5 min read
Watching a video is fun, but trying to analyze the video manually, not so much! You may miss important details and it is quite time consuming. What if the process can be automated? It surely can make life easier for few people.
How to Tell Stories and Weave a Cohesive Narrative With Data
by Payman Taei – 5 min read
Storytelling is one of the most important evolutionary advantages humans have. That is a bold statement, but I believe it is true.
Working with Missing Data in Machine Learning
by Boyan Angelov – 4 min read
Missing values are representative of the messiness of real world data. There can be a multitude of reasons why they occur – ranging from human errors during data entry, incorrect sensor readings, to software bugs in the data processing pipeline.
MangaGAN
by Béthy – 8 min read
Manga and anime are appreciated around the world for their intricate art styles and compelling stories. The fan base for this is so massive there are thousands of artists out there drawing original manga and anime characters, and also thousands who are tempted to create them.
Using Object detection for a Smarter Retail Checkout Experience
by Priya Dwivedi – 4 min read
I have been playing around with the Tensorflow Object Detection API and have been amazed by how powerful these models are. I want to share the performance of the API for some practical use cases.
Machine Translation to Shakespearian English
by Ludi Rehak – 4 min read
If you’ve been following the latest developments in deep learning, you’ve probably come across artistic style transfer. It’s a technique to create a new image with the content of image A, in the style of image B.
A very simple demo of interactive controls on Jupyter notebook
by Tirthajyoti Sarkar – 5 min read
Project Jupyter/IPython has left one of the biggest degrees of impact on how a data scientist can quickly test and prototype his/her idea and showcase the work to peers and open-source community. It is a non-profit, open-source project, born out of the IPython Project in 2014, which rapidly evolved to support interactive data science and scientific computing across all major programming languages.