Black Swans

We're a small group of data-scientists who help each other with projects and share our stories.

[Dat Tran @datitran]

We just released a major update of our Keras based image super resolution project 🔎. Now you can super-scale your images and run experiments very easily with RDNs and GANs.

💻Blog: https://t.co/zRxPxkNBfP
📝Documentation: https://t.co/CQnxGz3OdG
🔤Code: https://t.co/itb31vUwR5

[Aurélien Geron @aureliengeron]

Just pushed a notebook that covers loading and preprocessing data efficiently using #TensorFlow 2. It includes code examples for the data API, TFRecords & the Features API (+ short examples of TF Transform, TF datasets and TF Hub). Enjoy!
👉 Notebook 13 in https://t.co/rcQuBJOPAj

[Black Swans @blackswans_io]

Great article explaining how to use TensorFlow probability and Bayesian inference to predict the probability of O-ring failure in the 1986 Challenger disaster. @TensorFlow https://t.co/GvcqoQCKU1

[Black Swans @blackswans_io]

Brilliant article explaining why p-values should not be used to decide whether a result supports a scientific hypothesis! A MUST READ FOR STATISTICIANS! 🚨 https://t.co/jTEAvHmTBp

[Rafay Khan @RafayAK]

It's week 11 of our study group for @goodfellow_ian's book brilliant "Deep Learning"! 😜🚀 Please share so data scientists can join!!

This time its Optimization.

https://t.co/Y3rNt3wMeN

@blackswans_io #DeepLearning #MachineLearning #AI #ArtificialIntelligence #DataScience

[Rafay Khan @RafayAK]

It's week 10 of our study group for @goodfellow_ian's brilliant book "Deep Learning"! 😜🚀 Please share so data scientists can join!!

This time its Regularization

https://t.co/vnGNNjzXyx

@blackswans_io #DeepLearning #MachineLearning #AI #ArtificialIntelligence #DataScience

[Chip Huyen @chipro]

lazynlp: a library to scrape, clean, de-duplicate webpages to create massive datasets. It has instructions to download Reddit URLs, Gutenberg books, and Wikipedia. Using this library, you should be able to create text datasets >40GB. https://t.co/etrTVkyc5J

[Rafay Khan @RafayAK]

It's week 9 of our study group for @goodfellow_ian's brilliant book "Deep Learning"! 😜🚀 Please share so data scientists can join!!

Time to dig into the Meat & Bones

https://t.co/zMRVN4z3Nq

@blackswans_io #DeepLearning #MachineLearning #AI #ArtificialIntelligence #DataScience

[Aaron Levie @levie]

To anyone who has ever said AI isn’t ready to solve the world’s hardest problems...

[Black Swans @blackswans_io]

It's week 8 of our study group for @goodfellow_ian's brilliant book "Deep Learning"! 😜🚀 Please share so data scientists can join!!

https://t.co/PZkvTGiGXz

@RafayAK #DeepLearning #MachineLearning #AI #ArtificialIntelligence #DataScience #DataScientist

[Black Swans @blackswans_io]

If you'd like to learn how to use pre-trained word embeddings (e.g., word2vec or Glove) in TensorFlow, check out this brilliant answer by Google Brain software engineer @mrry 👏👏👏

https://t.co/0bdkfYVxRL
#DataScience #DeepLearning #MachineLearning #AI #ArtificialIntelligence

[Black Swans @blackswans_io]

If you want to learn how to train LSTM networks using TensorFlow's low-level API, look no further than this brilliant tutorial by @GarrettLeeH! 🔥🔥

https://t.co/W8BCqVMPkZ

#DeepLearning #MachineLearning #DataScience #AI #ArtificialIntelligence #DataScientist

[Black Swans @blackswans_io]

If you're in need of a template for you DL project, look no further than this brilliant repo created for Stanford's CS230 (taught by @AndrewYNg & @kiankatan 🧙‍♂️). https://t.co/aethBivfwh

[Black Swans @blackswans_io]

This week in our journal club we're discussing "A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play" 🤯😎https://t.co/qrocz8O0bu

@DeepMindAI @demishassabis #DeepLearning #MachineLearning #DataScience #DataScientist #AI

[Black Swans @blackswans_io]

If you don't know what hyperparameters to use for your Doc2Vec model, we thoroughly recommend checking out this brilliant paper: https://t.co/AKueWvqHRQ. 🔥🚀

#DeepLearning #DataScience #AI #ArtificialIntelligence #DataScientist #ML

[Black Swans @blackswans_io]

DATA-SCIENTISTS: Sooner or later you'll need to learn Word2Vec 🔥🔥 Take an hour out of your day and watch this brilliant @stanfordnlp lecture by @chrmanning! https://t.co/nbICjmgmzl

[Black Swans @blackswans_io]

We're launching Black Swans Meet-Ups! 🚀 A great chance to meet fellow data-scientists and learn about cool projects! #DataScience #MachineLearning https://t.co/yRoPQ89NuU

[Black Swans @blackswans_io]

Journal Club (Week 1) -- this week we're discussing @quocleix and Tomas Mikolov's paper introducing the Paragraph Vector. If you'd like to join, go to https://t.co/CLgxDiQCho! #DeepLearning #MachineLearning #NLP

[Kirk Borne @KirkDBorne]

Attention Networks for Document Classification: https://t.co/XDAbtDZ6Ig
#BigData #DataScience #MachineLearning #NLProc #NeuralNetworks #AI

More details in this article by @TeachTheMachine 👉https://t.co/u40gMBg2DT

Plus one more very informative blog: https://t.co/61cMiscTXE

[Black Swans @blackswans_io]

60 people have joined our Deep Learning Journal Club! If you'd like to join, go to https://t.co/JiHo8cDsnE. We read and discuss 1 paper each week! #MachineLearning #DeepLearning @KirkDBorne @DickeySingh