Data Science Austria

Colorizing Old B&W Photos and Videos With the Help of AI

This project is based on a research work developed at the University of California, Berkeley by Richard Zhang, Phillip Isola, and Alexei A. Efros. Colorful Image Colorization. The idea behind this tutorial is to develop a fully automatic approach that will generate realistic colorizations of Black & White (B&W) photos … Read moreColorizing Old B&W Photos and Videos With the Help of AI

Evaluating Keras neural network performance using Yellowbrick visualizations

If you have ever used Keras to build a machine learning model, you’ve probably made a plot like this one before: {training, validation} {loss, accuracy} plots from a Keras model training run This is a matrix of training loss, validation loss, training accuracy, and validation accuracy plots, and it’s an essential … Read moreEvaluating Keras neural network performance using Yellowbrick visualizations

BERT in Keras with Tensorflow hub

At Strong Analytics, many of our projects involve using deep learning for natural language processing. In one recent project we worked to encourage kids to explore freely online while making sure they stayed safe from cyberbullying and online abuse, while another involved predicting deductible expenses from calendar and email events. … Read moreBERT in Keras with Tensorflow hub

Playing Poker on Mars: How AI Mastered the Game

Or, the Edge of Trillions of Hands By Dirk Knemeyer and Jonathan Follett Figure 01: Poker, the quintessentially human game of gamblers and dreamers[Illustration: Le Poker (Poker) by Félix Vallotton, 1896 woodcut, National Gallery of Art, Open Access] Poker seems like a quintessentially human game. At a superficial level poker is a … Read morePlaying Poker on Mars: How AI Mastered the Game

Building a Music Recommendation Engine with Probabilistic Matrix Factorization in PyTorch

Recommendation systems are one of the most widespread forms of machine learning in modern society. Whether you are looking for your next show to watch on Netflix or listening to an automated music playlist on Spotify, recommender systems impact almost all aspects of the modern user experience. One of the … Read moreBuilding a Music Recommendation Engine with Probabilistic Matrix Factorization in PyTorch

Data Cleaning with R and the Tidyverse: Detecting Missing Values

Data cleaning is one of the most important aspects of data science. As a data scientist, you can expect to spend up to 80% of your time cleaning data. In a previous post I walked through a number of data cleaning tasks using Python and the Pandas library. That post … Read moreData Cleaning with R and the Tidyverse: Detecting Missing Values

Humans Have Struggled to Understand Rare Cancers, Let’s Give Artificial Intelligence a Turn.

The Challenges of Cancer Subtyping & How Artificial Intelligence Can Help There is a certain level of loneliness that comes with being diagnosed with a rare cancer like intrahepatic cholangiocarcinoma (ICC). Most people wouldn’t even know where that cancer occurs. It is a cancer of the bile duct, a group of … Read moreHumans Have Struggled to Understand Rare Cancers, Let’s Give Artificial Intelligence a Turn.