Tag: learning

Always super helpful: "Basic Regular Expressions in R" by Ian Kopacka https://t.co/WyfezkISPh #RegEx #rstats (#SoDS18 clutch @kierisi) pic.twitter.com/6UY96B8rVu

— Mara Averick (@dataandme) June 11, 2018

TensorFlow Serving has released version 1.8.0 & now supports a RESTful API out of the box! You can now easily make classification, regression & prediction requests to your TensorFlow models using JSON objects.

Learn more here ↓ https://t.co/BtvgZLi2bb

— TensorFlow (@TensorFlow) June 11, 2018

Description of 4th place and fastest solution in @Lyft Perception Challenge with #PyTorch code https://t.co/kLsZoV2CUg
- simulated data for semantic segmentation
- hardware limitations
- LinkNet34
- postprocessing on GPU
- speed-up tricks to get >20FPS on single K80 pic.twitter.com/7XaMzu5uZv

— Alexandr Kalinin (@alxndrkalinin) June 11, 2018

Key difference between rbind and dplyr's bind_rows: One refuses to add when columns aren't matching, the other one looks for where the match is (with warnings for missing columns). Depending on the scenario, either one can come in handy #rstats #DSLearning pic.twitter.com/PQyNsT2JeY

— Suzan Baert (@SuzanBaert) June 11, 2018

ICYMI, 👍 code-through:
"Supervised vs. Unsupervised Learning: Exploring Brexit w/ PLS & PCA" by @gokhan_ciflikli https://t.co/iGEZCxFLIu #rstats #caret #tmap pic.twitter.com/jx902RUjBl

— Mara Averick (@dataandme) June 11, 2018

ICYMI last week we released the largest git dataset in the history of #MLonCode!

Repos contain objects and metadata for all existing revisionshttps://t.co/Aa5Qq8p6bf

— source{d} (@sourcedtech) June 11, 2018

👍: the updated @rawgraphs comes with bee swarm and contour plots https://t.co/HC0jzilvZv pic.twitter.com/diB5dM7rsh

— Maarten Lambrechts (@maartenzam) June 11, 2018

I'm laughing so hard at this slide a friend sent me from one of Geoff Hinton's courses;

"To deal with hyper-planes in a 14-dimensional space, visualize a 3-D space and say 'fourteen' to yourself very loudly. Everyone does it." pic.twitter.com/nTakZArbsD

— Robbie Barrat (@DrBeef_) June 10, 2018

New book chapter: Optimize the data–ink ratio. #datavizhttps://t.co/ULy0vgOJzH pic.twitter.com/eeC6phXl9h

— Claus Wilke (@ClausWilke) June 10, 2018

💫 infosec code-through:
"Anomaly Detection and Threat Hunting w/ Anomalize" ✏ @holisticinfosechttps://t.co/CwRohZ3BTj via @bizScienc #rstats #infosec pic.twitter.com/Gwmy2lXvLA

— Mara Averick (@dataandme) June 10, 2018

I wrote a book on data science for startups using the excellent R packages bookdown by @xieyihui and bigrquery by @hadleywickham https://t.co/hUqgRzZhEN

— Ben Weber (@bgweber) June 9, 2018

“Taming LSTMs: Variable-sized mini-batches and why PyTorch is good for your health” by @_willfalcon https://t.co/wjaPGWNM37 #pytorch #deeplearning #machinelearning #ml #ai

— PyTorch Best Practices (@PyTorchPractice) June 9, 2018