Recently, I sat down with Priya Ravindhran to discuss what automated ML means for data science careers.
Press the play button below to listen here or visit the show page at DataDriven.tv.
Two Minute Papers explores the paper “Alias-Free GAN” in this video.
bycloud explores a Liquid Warping GAN that can produce deep fake dance moves (among other things) with just one reference image.
deeplizard has a brand new premium course, an Introduction to Generative Adversarial Networks (GANs).
Below is the full first lesson of the course available as a preview to the course at large.
Neurobiologists and computer scientists are trying to discover how neural networks become a brain.
Will nature give us the answer, or is it all up to an artificial intelligence to work it out?
Watch this talk from The Royal Institution to find out more.
deeplizard announces their brand new premium deeplizard course, an Introduction to Generative Adversarial Networks (GANs)
AI is for everyone, and every Developer, Exectuive and Entreprenuer can benefit from knowing and understanding nor about it.
Noelle guides you through the technology and the issues it raises.
Unlike traditional software development, ML developers want to try multiple algorithms, tools and parameters to get the best results, and they need to track this information to reproduce work.
In this video, learn how to operationalize ML across the full lifecycle with Databricks Machine Learning.
In this webinar, I was on a panel where we discussed the top 5 analytic challenges in the retail industry.
We also dove into the many applications of data science that can be used to enhance retail companies and better understand the consumer.
The ICLR 2021 Keynote “Geometric Deep Learning: The Erlangen Programme of ML“ by Michael Bronstein is presented below.