Data Phoenix

2021-12-18 10:00:09 ​​ Hello everyone!

We hope that your weekend is going great!
Data Phoenix prepared for you the list of free vacancies for the week. Kindly check it out and let us know what you think

1) Senior Data Scientist - Finance Data - Coinbase (Remote - USA)
https://bit.ly/3F9CZTK
2) Senior Software Engineer - Data Pipeline - GitHub (Remote - USA)
https://bit.ly/3mhpDNL
3) Machine Learning Engineer - Cloudflare (Remote - USA)
https://bit.ly/3shnqpd
4) Principal Data Scientist - Intercom (Remote in Ireland or the UK)
https://bit.ly/32k5dg8
5) Cloud Data Engineer - Rackspace (Remote - USA)
https://bit.ly/3E9zCdY

Looking to feature your open positions in the digest? Kindly reach out to us at editor@dataphoenix.info for details. We'll be proud to help your business thrive! Open / Comment

2021-12-17 18:00:25 Hello everyone! Data Phoenix Speaking!
We are ready to present our weekly issue of the digest! And it is already waiting for you on our website! Tap on the link and feel free to subscribe
https://bit.ly/3p3TPOc Open / Comment

2021-12-17 10:00:04 Get Started: DCGAN for Fashion-MNIST

This tutorial will guide you through the implementation of a Deep Convolutional GAN (DCGAN) with TensorFlow 2 / Keras. It's based on a classic GAN paper.

https://bit.ly/33rQQXo Open / Comment

2021-12-16 16:00:04 Hello everyone, it's Data Phoenix speaking!
We hope that your week is going well so far. Our team wants to remind you about our weekly newsletter which is coming, as always, tomorrow! Fill in your email and get instant access to all the AI/ML goodies in one go. Looking forward to having you as one of our amazing subscribers!
https://bit.ly/3IXSXm3 Open / Comment

2021-12-16 10:00:04 Adobe Research at ICCV 2021

This page features a set of 45 papers, including 5 oral papers, 34 posters, and 6 workshop papers presented by Adobe at IEEE Computer Society International Conference on Computer Vision.

https://adobe.ly/3F0UW6V Open / Comment

2021-12-15 10:00:04 Text-based Causal Inference

In this tutorial, you'll learn about a new method of analyzing voter fraud disinformation by estimating causal effect with text as treatment and confounder.

https://bit.ly/3EZm6ee Open / Comment

2021-12-14 10:00:04 EditGAN: High-Precision Semantic Image Editing

In this paper, Huan Ling et al. present EditGAN, the first GAN-driven image editing framework that outperforms previous editing methods on standard editing benchmark tasks.

https://bit.ly/3s4OI2g Open / Comment

2021-12-13 16:00:04 XGBoost vs LightGBM: How Are They Different

XGBoost and LightGBM are two of the most popular algorithms that are based on Gradient Boosted Machines. Let's find out how different they are, with pros and cons for each.

https://bit.ly/31WurRx Open / Comment

2021-12-13 10:00:08 ​​ Hello, friends! Let’s start this week in a company of Tom Davenport, a world-renowned thought leader in all things IT.

Dr. Davenport is the President’s Distinguished Professor of Information Technology and Management at Babson College, a Fellow of the MIT Center for Digital Business, and an independent senior advisor to Deloitte Analytics.

He is also the author and co-author of 20 books and more than 200 articles. He is dedicated to helping organizations transform their management practices in digital business domains, such as artificial intelligence, analytics, and enterprise systems.

Over the course of 40 years, he has written or edited twenty books and over 250 print or digital articles for Harvard Business Review (HBR), Sloan Management Review, the Financial Times, and many other publications. He earned his Ph.D from Harvard University and has taught at the Harvard Business School, the University of Chicago, and the University of Texas at Austin.

https://bit.ly/30k3DKm Open / Comment

2021-12-12 16:00:05 HyperStyle: StyleGAN Inversion with HyperNetworks for Real Image Editing

In this paper, Yuval Alaluf et al. propose HyperStyle, a hypernetwork that learns to modulate StyleGAN's weights to faithfully express a given image in editable regions of the latent space.

https://bit.ly/3oLRhUE Open / Comment