This week's #KernelAwards winner uses a pre-trained VGG16 model with attention to classify cardiomegaly from chest x-rays: https://t.co/Z4NwkMwoSa pic.twitter.com/7GBQk4nXB3
— Kaggle (@kaggle) July 13, 2018
This week's #KernelAwards winner uses a pre-trained VGG16 model with attention to classify cardiomegaly from chest x-rays: https://t.co/Z4NwkMwoSa pic.twitter.com/7GBQk4nXB3
— Kaggle (@kaggle) July 13, 2018
`We are happy to announce our upcoming book "R Markdown: The Definitive Guide", authored by @xieyihui @fly_upside_down @StatGarrett and published by @CRCPress: https://t.co/ncKWmgKW5o pic.twitter.com/rpWE3iHJtz
— RStudio (@rstudio) July 13, 2018
Back in Sydney after a great trip to Brisbane. Just wanted to say thank you to everyone at #useR2018, and especially to @visnut for inviting me! The slides for my talk are here:https://t.co/Q6BMC5ZLXT
— Danielle Navarro (@djnavarro) July 13, 2018
New blog post discussing DeepMind and OpenAI's work on solving the first level of Montezuma's Revenge using Deep RL, and why that isn't necessarily as exciting as it seems. Would love to hear other's thoughts. https://t.co/LpXOIRZa7B
— Arthur Juliani (@awjuliani) July 13, 2018
Plant seedling classification: a competition-winning approach using data augmentation and Keras https://t.co/uCFHmriodt
— Ben Hamner (@benhamner) July 13, 2018
Roger Peng’s #useR2018 keynote this morning resonates with me, as another long time user/developer/instructor. Useful, opinionated take on where we are now in #rstats and how we got here. @rdpeng https://t.co/bOLSoaFupd pic.twitter.com/ejc9yFYGVA
— Jenny Bryan (@JennyBryan) July 13, 2018
Must-watch television: Bayesian Data Science Two Ways: Simulation and Probabilistic Programming, featuring @hugobowne and @ericmjl https://t.co/a6fVcLOOaz
— Chris Fonnesbeck (@fonnesbeck) July 12, 2018
For anyone interested, I'm (mostly done) writing a book which teaches Deep Learning using intuitive examples more than math. All code examples are on Github, written from scratch in Numpy
— Trask (@iamtrask) July 12, 2018
If you think this is your learning style, you can download it here: https://t.co/6KdGghoqLC
All of the available winners' solution from our ML competitions in one meta-kernel! Thank you @sudalairajkumar https://t.co/w5Y47Xd7sA
— Kaggle (@kaggle) July 12, 2018
Today we’re launching Seedbank, a place to discover interactive ML examples which you can run from your browser, no set-up required. Each example can be edited, extended, and adapted into your own project.
— TensorFlow (@TensorFlow) July 12, 2018
Read @mtyka's post for more info ↓ https://t.co/k1McWSm8PG
Another great resource from @AmeliaMN: explaining and visualizing / contextualizing histograms https://t.co/NkTZZBdYxE #icots10 #rstats
— Hilary Parker (@hspter) July 12, 2018
Thank you to everyone who listened in on my #SciPy2018 talk! Sorry I didn't make it through the "Future of AutoML" portion - that live demo took longer than expected. I've posted my slides online here: https://t.co/SW5Q5BS9Fn
— Randy Olson (@randal_olson) July 11, 2018