And #Google also launched #DataSet search. This is a huge breakthrough for the DS community, because now it will be easier to access some interesting data.
https://toolbox.google.com/datasetsearch
https://toolbox.google.com/datasetsearch
Predicting Popularity of The New York Times Comments (Part 1)
Article with the #NLP research of NYT comments. Nice example of the applied #research job.
Link: https://towardsdatascience.com/predicting-popularity-of-the-new-york-times-comments-part-1-d32f26261f6f
Github: https://github.com/sakshi716/nyt-nlp-capstone
Article with the #NLP research of NYT comments. Nice example of the applied #research job.
Link: https://towardsdatascience.com/predicting-popularity-of-the-new-york-times-comments-part-1-d32f26261f6f
Github: https://github.com/sakshi716/nyt-nlp-capstone
Medium
Predicting Popularity of The New York Times Comments (Part 1)
Hello everyone! I just finished my capstone project for my big data certification from Ryerson University in Toronto. This project was…
How to Create Animated Graphs in Python
Short tutorial on how to create animated graphs, which also works in #jupyter notebooks.
Link: https://towardsdatascience.com/how-to-create-animated-graphs-in-python-bb619cc2dec1
Youtube link with #visualization: https://youtu.be/7xrvuSDLHiY|
#novice #beginner
Short tutorial on how to create animated graphs, which also works in #jupyter notebooks.
Link: https://towardsdatascience.com/how-to-create-animated-graphs-in-python-bb619cc2dec1
Youtube link with #visualization: https://youtu.be/7xrvuSDLHiY|
#novice #beginner
Medium
How to Create Animated Graphs in Python
Matplotlib and Seaborn are some nice libraries in Python to create great looking plots. But these plots are all static and it’s hard to…
Predicting Popularity of The New York Times Comments (Part 1)
Article with the #NLP research of NYT comments. Nice example of the applied #research job.
Link: https://towardsdatascience.com/predicting-popularity-of-the-new-york-times-comments-part-1-d32f26261f6f
Github: https://github.com/sakshi716/nyt-nlp-capstone
Article with the #NLP research of NYT comments. Nice example of the applied #research job.
Link: https://towardsdatascience.com/predicting-popularity-of-the-new-york-times-comments-part-1-d32f26261f6f
Github: https://github.com/sakshi716/nyt-nlp-capstone
Medium
Predicting Popularity of The New York Times Comments (Part 1)
Hello everyone! I just finished my capstone project for my big data certification from Ryerson University in Toronto. This project was…
Healthcare Dataset with #PySpark
Back to some #BigData stuff: article about quick-and-dirty development of prediction algorithm using #Spark engine.
Link: https://towardsdatascience.com/healthcare-dataset-with-spark-6bf48019892b
Back to some #BigData stuff: article about quick-and-dirty development of prediction algorithm using #Spark engine.
Link: https://towardsdatascience.com/healthcare-dataset-with-spark-6bf48019892b
Medium
Healthcare Dataset with Spark
Spark is an open source project from Apache. It is also the most commonly used analytics engine for big data and machine learning.
Multimodal Unsupervised Image-to-Image Translation (MUNIT)
Arxiv: https://arxiv.org/abs/1804.04732
Github: https://github.com/NVlabs/MUNIT
Arxiv: https://arxiv.org/abs/1804.04732
Github: https://github.com/NVlabs/MUNIT
GitHub
GitHub - NVlabs/MUNIT: Multimodal Unsupervised Image-to-Image Translation
Multimodal Unsupervised Image-to-Image Translation - NVlabs/MUNIT
There is a chart for CS research citation rate: http://www.iro.umontreal.ca/~bengioy/citation-rate-CS-1sept2018.html
Looks like the #dl is eating the world of software atm.
#academy #chart
Looks like the #dl is eating the world of software atm.
#academy #chart
Useful tool for #crowdsourcing annotation and labeling: https://prodi.gy
prodi.gy
Prodigy · An annotation tool for AI, Machine Learning & NLP
A downloadable annotation tool for LLMs, NLP and computer vision tasks such as named entity recognition, text classification, object detection, image segmentation, evaluation and more.
Data Types From A Machine Learning Perspective With Examples
This is a really #beginner level article about how different data types can be categorized.
Link: https://towardsdatascience.com/scala-for-data-science-engineering-part-1-6a0a5738d7b0
This is a really #beginner level article about how different data types can be categorized.
Link: https://towardsdatascience.com/scala-for-data-science-engineering-part-1-6a0a5738d7b0
Medium
Scala for Data Science Engineering — Part 1
Data Science is an interesting field to work in, a combination of statistics and real world programming. There are number of programming…
After election scandal, #facebook surges to fight fake news, and that’s how is it going now.
https://techcrunch.com/2018/09/13/photo-video-fact-checking/
#nlp #ai #fakenews
https://techcrunch.com/2018/09/13/photo-video-fact-checking/
#nlp #ai #fakenews
TechCrunch
Facebook rolls out photo/video fact checking so partners can train its AI
Sometimes fake news lives inside of Facebook as photos and videos designed to propel misinformation campaigns, instead of off-site on news articles that can generate their own ad revenue. To combat these politically rather than financially motivated meddlers…
NVIDIA's article on #AI training and validation infrastructure for autonomous driving with MagLev, introduced at #facebook event.
https://blogs.nvidia.com/blog/2018/09/13/how-maglev-speeds-autonomous-vehicles-to-superhuman-levels-of-safety/
#selfdriving #ci
https://blogs.nvidia.com/blog/2018/09/13/how-maglev-speeds-autonomous-vehicles-to-superhuman-levels-of-safety/
#selfdriving #ci
NVIDIA Blog
MagLev: Efficient AI Training for Safe Autonomous Vehicles | NVIDIA Blog
NVIDIA announced on Thursday at the Facebook @Scale Conference Project MagLev — an internal AI training and inference infrastructure.
How Booking.com increases the power of online A/B experiments with CUPED
Link: https://booking.ai/how-booking-com-increases-the-power-of-online-experiments-with-cuped-995d186fff1d
#ab #statistics #booking
Link: https://booking.ai/how-booking-com-increases-the-power-of-online-experiments-with-cuped-995d186fff1d
#ab #statistics #booking
Medium
How Booking.com increases the power of online experiments with CUPED
Simon Jackson |Data Scientist at Booking.com
#OpenDataScience community (ods.ai) recently released Open Machine Learning Course. This is a community-driven course, covering #production, #Kaggle (actually #CompetitiveDataScience, but we use this hashtag for the first time), #DL, #RL, #ML and validated on the russian-speaking DS community, which was translated into english.
There are lots of assignments and some competitions during the course. Interactive rating highly motivates and makes it fun to participate.
Next session starts on October 1. Welcome!
Link: https://mlcourse.ai?utm_source=telegram&utm_medium=opendatascience
There are lots of assignments and some competitions during the course. Interactive rating highly motivates and makes it fun to participate.
Next session starts on October 1. Welcome!
Link: https://mlcourse.ai?utm_source=telegram&utm_medium=opendatascience
#MIT recent release for video labeling
Youtube: https://www.youtube.com/watch?v=JBwSk6nJOyM&feature=youtu.be
Github: https://github.com/metalbubble/TRN-pytorch
#dl #video
Youtube: https://www.youtube.com/watch?v=JBwSk6nJOyM&feature=youtu.be
Github: https://github.com/metalbubble/TRN-pytorch
#dl #video
YouTube
How a Temporal Relation Network understands what's going on there
Prediction of the on-going activity from a TRN is shown. Yes, I am playing my hands :)
Model of TRN and code are available at https://github.com/metalbubble/TRN-pytorch
Model is trained on Something-Something-V2 dataset.
Model of TRN and code are available at https://github.com/metalbubble/TRN-pytorch
Model is trained on Something-Something-V2 dataset.
You can also suggest any news, repo or post to our channel with @opendatasciencebot
You are welcome to share your open source work to request help, or just ask for starring it.
You are welcome to propose any post or article you want to.
Channel editors however will decide if that follows channel policy, which is OK for the majority of subscribers, judging by recent poll.
Thank you for your patience and constant forwards to friends! You do really matter, dear subscribers and the organic growth of this channel is the best reward.
You are welcome to share your open source work to request help, or just ask for starring it.
You are welcome to propose any post or article you want to.
Channel editors however will decide if that follows channel policy, which is OK for the majority of subscribers, judging by recent poll.
Thank you for your patience and constant forwards to friends! You do really matter, dear subscribers and the organic growth of this channel is the best reward.
“Software 2.0” last year, but still great article about what might happen in the future with the Software Development.
https://medium.com/@karpathy/software-2-0-a64152b37c35
https://medium.com/@karpathy/software-2-0-a64152b37c35
Medium
Software 2.0
I sometimes see people refer to neural networks as just “another tool in your machine learning toolbox”. They have some pros and cons, they…
Imposter Syndrome is a condition when person feels a liar, no matter what his/her achievements are. It is a great deal in the #DS too.
https://caitlinhudon.com/2018/01/19/imposter-syndrome-in-data-science
https://caitlinhudon.com/2018/01/19/imposter-syndrome-in-data-science
Haystacks by Caitlin Hudon
Imposter Syndrome in Data Science — Haystacks by Caitlin Hudon
Thoughts on why imposter syndrome is so prevalent in data science, how I deal with it personally, and ways we can encourage people who are feeling the impact.
New library for #DataAugmentation: SOLT.
Supports various transformations for images, masks, targets and landmarks. Fast and easy-to-use library useful in #ComputerVision and #DeepLearning
Link: https://github.com/MIPT-Oulu/solt .
Supports various transformations for images, masks, targets and landmarks. Fast and easy-to-use library useful in #ComputerVision and #DeepLearning
Link: https://github.com/MIPT-Oulu/solt .
GitHub
GitHub - MIPT-Oulu/solt: Streaming over lightweight data transformations
Streaming over lightweight data transformations. Contribute to MIPT-Oulu/solt development by creating an account on GitHub.