Data Science by ODS.ai 🦜
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First Telegram Data Science channel. Covering all technical and popular staff about anything related to Data Science: AI, Big Data, Machine Learning, Statistics, general Math and the applications of former. To reach editors contact: @malev
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Comparison of 13 classic ML algorithms on 165 datasets.

https://arxiv.org/pdf/1708.05070.pdf

#meta #arxiv #ml
News Feature: What are the limits of deep learning?

Nice article summarizing recent progress in deep learning. It can be renamed into «Recent progress in deep learning leaves DL critics searching for new things to criticize».

Link: https://www.pnas.org/content/116/4/1074

#DL #Meta
State-of-the-art (SOTA) collection of Paperswithcode

A great site, worth spreading word about: Papers With Code now includes 950+ ML tasks, 500+ evaluation tables (including SOTA results) and 8500+ papers with code. Probably the largest collection of NLP tasks, including 140+ tasks and 100 datasets.

Link: https://paperswithcode.com
Sota link: https://paperswithcode.com/sota

#Meta #collection #sota #useful
Text-based game to feel yourself in not so distant future where real AI exists.

We all now, how DS and #AI products affect our life and how they actually influence our lifestyle. But in the future our relationship will become more tense. It is rather nice experience to play this game, not only because it reminds of old-school games, but also because it looks shookingly possible.

Link: https://www.theverge.com/2019/1/31/18140796/wake-word-algorithm-text-game-ai-artificial-intelligence

#interactive #Meta
General talk on who makes the choice now: machine or human

Discussion based on the book «A Human’s Guide to Machine Intelligence: How Algorithms Are Shaping Our Lives and How We Can Stay in Control».

Link: https://knowledge.wharton.upenn.edu/article/algorithms-decision-making/

#podcast #general #meta #publicml
On the concept of 'intellectual debt'

There is technical debt — when you know you should rewrite some stuff, or implement some features, but they don't seem critical at the moment. So article introduces a concept of 'intellectual debt', which resies with more broad and common use of #MachineLearning and #DeepLearning (specially, the latter). What happens when AI gives us seemingly correct answers that we wouldn't have thought of ourselves, without any theory to explain them?

Link: https://www.newyorker.com/tech/annals-of-technology/the-hidden-costs-of-automated-thinking

#Meta #common #lyrics
Great collections of Data Science learning materials

The list includes free books and online courses on range of DS-related disciplines:

Machine learning (#ML)
Deep Learning (#DL)
Reinforcement learning (#RL)
#NLP

Tutorials on #Keras, #Tensorflow, #Torch, #PyTorch, #Theano

Notable researchers, papers and even #datasets. It is a great place to start reviewing your knowledge or learning something new.

Link: https://hackmd.io/@chanderA/aiguide

#wheretostart #entrylevel #novice #studycontent #studymaterials #books #MOOC #meta
Great community event by OpenDataScience in Dubai 🏝🏙

The first Data Fest in Dubai.

Check the agenda and don't miss the event!
- Top talks from renowned experts in their fields
- Lots of new insights, skills and know-how
- Best networking with the professional community

Location: Hult International Business School
Link: https://fest.ai/dubai/

#event #dubai #ml #meta #dl