Data Science and Engineering
@DataScience_Engineering
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Data Science and Engineering
547 subscribers
Data Science and Engineering
​​Exploring Weight Agnostic Neural Networks

Exploration of agents that can already perform well in their environment without the need to learn weight parameters.

Link: https://ai.googleblog.com
Code: https://github.com/google/brain-tokyo-workshop/tree/master/WANNRelease
726 views
Data Science and Engineering
Channel name was changed to «Data»
Data Science and Engineering
Channel name was changed to «Data Science and Engineering»
Data Science and Engineering
Deep learning cheatsheets, covering content of Stanford’s CS 230 class.

CNN: https://stanford.edu/~shervine/teaching/cs-230/cheatsheet-convolutional-neural-networks

RNN: https://stanford.edu/~shervine/teaching/cs-230/cheatsheet-recurrent-neural-networks

TipsAndTricks: https://stanford.edu/~shervine/teaching/cs-230/cheatsheet-deep-learning-tips-and-tricks

#cheatsheet #Stanford #cnn #rnn #tipsntricks #dnn
stanford.edu
CS 230 - Convolutional Neural Networks Cheatsheet
Teaching page of Shervine Amidi, Adjunct Lecturer at Stanford University.
752 views
Data Science and Engineering
Data science jobs are going to be in increasingly massive demand. Prepare your resume!

Internet of Things companies will dominate the 2020s.

https://www.androidauthority.com/internet-of-things-companies-1023404/

“Each year, Internet of Things companies tell us “this is the year of IoT,” and each year, we get an expensive fridge that no one buys. But IoT is coming. In fact, it is already here! There are currently 6.7 billion “data collecting devices” in use today, with 20 billion projected for 2020 according to Amazon. Gartner predicts there will be 25 billion connected devices by 2021, and Accenture suggests that the global IoT market will be worth $14.2 trillion in 2030 (as reported by CRN).”

“Data science jobs are going to be in increasingly massive demand for these companies. Collecting all that data from users is only useful if businesses know what to do with it, and how to infer actionable advice from it. How do you turn billions of purchases across millions of users in multiple different countries into a better marketing campaign? That’s where data science comes in.”

"One of the biggest areas of concern for Internet of Things companies is data security."
Android Authority
Internet of Things companies will dominate the 2020s: Prepare your resume!
Internet of things companies will dominate the 2020s. Discover the businesses making waves and how to prepare your resume to land a job with them.
2.35K views
Data Science and Engineering
Our conceptual understanding of how best to represent words and sentences in a way that best captures underlying meanings and relationships is rapidly evolving. Among the latest milestones are BERT and ELMo.

This article talks about the concepts one needs to be aware of to properly get his/her head around BERT.

http://jalammar.github.io/illustrated-bert/

#BERT #EMLO #NLP
jalammar.github.io
The Illustrated BERT, ELMo, and co. (How NLP Cracked Transfer Learning)
Discussions:
Hacker News (98 points, 19 comments), Reddit r/MachineLearning (164 points, 20 comments)


Translations: Chinese (Simplified), French 1, French 2, Japanese, Korean, Persian, Russian, Spanish

2021 Update: I created this brief and highly accessible…
3.32K views
Data Science and Engineering
Transformers and self-attention explained from scratch, also in pythonic language.

#BERT #GPT_2 #Transformer
#python

http://www.peterbloem.nl/blog/transformers
1.43K viewsedited  
Data Science and Engineering
If computers are so smart, how come they can’t read?

https://www.wired.com/story/adaptation-if-computers-are-so-smart-how-come-they-cant-read/
WIRED
If Computers Are So Smart, How Come They Can’t Read?
Deep learning excels at learning statistical correlations, but lacks robust ways of understanding how the meanings of sentences relate to their parts.
1.65K views
Data Science and Engineering
Do you also see the AI’s reproducibility crisis? Is it also the concern that you have? Is it partly due to the black box ML systems?

https://www.wired.com/story/artificial-intelligence-confronts-reproducibility-crisis
WIRED
Artificial Intelligence Confronts a 'Reproducibility' Crisis
Machine-learning systems are black boxes even to the researchers that build them. That makes it hard for others to assess the results.
2.78K views
Data Science and Engineering
https://t.me/DataScience_Engineering

#internationalwomensday
1.21K viewsedited  
Data Science and Engineering
Interesting simulations on epidemic spread and effect of social distancing. Takes about 25 min

https://youtu.be/gxAaO2rsdIs

#DataScience #socialdistancing #simulation
YouTube
Simulating an epidemic
Experiments with toy SIR models
Help fund future projects: https://www.patreon.com/3blue1brown
An equally valuable form of support is to simply share some of the videos.
Special thanks to these supporters: http://3b1b.co/sir-thanks
Home page: https://www…
1.69K views
Data Science and Engineering
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Anyone experienced this yet 😐 #covid19 #workfromhome
1.64K views
Data Science and Engineering
Hi Folks,

Many of you probably follow sentdex (Harrison Kinsley) on YouTube (channel link below). He has great introductory content for #machinelearning.

Recently he also wrapped up a Kickstarter campaign to write a book on how to implement #deeplearning from scratch in #python. The videos for the book are free (on his channel) and a link to the book's site can be found below.

sentdex youtube -> https://lnkd.in/gXkhEv7

kickstarter -> https://lnkd.in/gcVyRa6

book site -> https://nnfs.io/
1.65K views
Data Science and Engineering
10 times less energy to train deep neural networks with Early Bird - Towards making AI both more environmentally friendly and more inclusive.

#DNN #AI #ML

https://www.sciencedaily.com/releases/2020/05/200518144908.htm
ScienceDaily
Early Bird uses 10 times less energy to train deep neural networks
Engineers have found a way to train deep neural networks for a fraction of the energy required today. Their Early Bird method finds key network connectivity patterns early in training, reducing the computations and carbon footprint for training deep learning.
1.37K views
Data Science and Engineering
Graduate Student Solves Decades-Old Conway Knot Problem

https://www.quantamagazine.org/graduate-student-solves-decades-old-conway-knot-problem-20200519/
Quanta Magazine
Graduate Student Solves Decades-Old Conway Knot Problem
It took Lisa Piccirillo less than a week to answer a long-standing question about a strange knot discovered over half a century ago by the legendary John Conway.
1.54K views
Data Science and Engineering
Reducing downtime with predictive maintenance in Shell Pernis.

https://amp-ft-com.cdn.ampproject.org/c/s/amp.ft.com/content/bfbac636-ee8b-11e9-a55a-30afa498db1b
1.89K views
Data Science and Engineering
1.6K views
Data Science and Engineering
Python at work 🐍 #python
2.85K views
Data Science and Engineering
Special Report

Future of AI and Digital Healthcare


https://www.ft.com/reports/future-ai-digital-healthcare

#AI #ml
3.31K views
Data Science and Engineering
Microsoft has built one of the top five publicly disclosed supercomputers in the world, making new infrastructure available in Azure to train extremely large artificial intelligence models. #MSBuild2020 #developer #dev #AI #ml

https://blogs.microsoft.com/ai/openai-azure-supercomputer/?_lrsc=e416cecb-3272-4988-a27c-f3b786153103
2.97K views
Data Science and Engineering
AI failures aren’t due to AI models: they fail in data prep and organization. Successful AI models require collection and organization of data first.

https://www.ibm.com/downloads/cas/W16VXMEN
2.29K views