Data Science Digest

2021-05-21 16:30:07 #DataScienceMemes Open / Comment

2021-05-21 09:30:09 Build a System to Identify Fake News Articles

Fake news is a false or misleading content presented as news in different formats. Fake news is considered to be a huge problem, since it erodes trust in any content (even from respectable sources). Thankfully, AI can help identify fake news, and in this article, we’ll look at how to apply text analytics and classical machine learning for that.

https://bit.ly/3v9seM2 Open / Comment

2021-05-20 12:27:30 Detecting Deforestation from Satellite Images

Deforestation is a global issue that needs to be addressed on a larger scale. Fortunately, AI can help us detect areas suffering from deforestation much faster. In this article, you’ll learn about a full stack deep learning project that uses high-resolution from the Amazon rainforest to build and train a 95% accurate model that detects areas with loss of trees from space.

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

2021-05-19 15:12:38 ​​Data Science Digest — 19.05.21

The new issue of DataScienceDigest is here! Hop to learn about the latest news, articles, tutorials, research papers, event materials, and projects on DataScience, AI, ML, and BigData. All sections are prioritized for your convenience. Enjoy!

https://bit.ly/3hxDbTQ

Join @DataScienceDigest Open / Comment

2021-05-18 09:30:11 Discovering Diverse Athletic Jumping Strategies

In this paper, the researchers present a «smart» framework to discover motion strategies for such athletic skills as the high jump. It allows us to come up with, explore, and optimize a wide range of novel motion strategies for jumpers through a sample-efficient Bayesian diversity search (BDS) algorithm.

WWW — https://bit.ly/3yiDPdD
Paper — https://bit.ly/3wjnC6p
Video — https://bit.ly/33SAi82 & https://bit.ly/3hxY8hm
Code — https://bit.ly/2QpVNKc Open / Comment

2021-05-17 09:30:04 ​​Meet skweak: A Python Toolkit For Applying Weak Supervision To NLP Tasks

Skweak is a Python toolkit developed for applying weak supervision to various NLP tasks. In this article, you will learn how to use skweak for such NLP tasks as labeling and text classification. The article is illustrated with a practical implementation for reference.

https://bit.ly/33LV9tA Open / Comment

2021-05-16 10:00:05 Data Scientist vs Machine Learning Engineer Skills. Here’s the Difference.

Data Science and Machine Learning have become buzzwords in the tech community. Let’s cut through the hype and, actually, figure out what Data Scientists and ML Engineers do, where their roles overlap and where they differ. Please note that this is an opinionated piece, and thoughts and ideas expressed in the article are the author’s only.

https://bit.ly/3oj8UJC Open / Comment

2021-05-15 10:00:10 Data Fest returns! And pretty soon

Starting May 22nd and until June 19th, we host an Online Fest just like we did last year:
Our YouTube live stream returns to a zoo-forest with and this time a bear cub! (RU)
Unlimited networking in our spatial.chat - May 22nd will be the real community maelstrom (RU & EN)
Tracks on our ODS.AI platform, with new types of activities and tons of new features (RU & EN)
Registration is live! Check out Data Fest 2021 website for the astonishing tracks we have in our program and all the details.

https://bit.ly/3tNeaX9 Open / Comment

2021-05-14 09:30:09 ​​Animating Pictures with Eulerian Motion Fields

In this paper, Aleksander Holynski et al. demonstrate a fully automatic method for converting a still image into a realistic animated looping video. The images are animated using a deep warping technique: pixels are encoded as deep features, features are warped via Eulerian motion, and the warped feature maps are decoded as images.

WWW — https://bit.ly/3uMSJH6
Paper — https://bit.ly/33GTup5
Video —https://bit.ly/3tOLPQa
Code — coming soon Open / Comment

2021-05-13 09:05:07 ​​​​Data Science Digest — 13.05.21

The new issue of DataScienceDigest is here! Hop to learn about the latest news, articles, tutorials, research papers, courses, podcasts, and projects on DataScience, AI, ML, and BigData. All sections are prioritized for your convenience. Enjoy!

https://bit.ly/3oo1K7f

Join @DataScienceDigest Open / Comment