Excellent post on generalisation of Bayesian methods by @sebnowozin Do Bayesian Overfit? (you would never guess the answer;))https://t.co/9CEpDShhSk
— Ferenc Huszár🇪🇺 (@fhuszar) July 11, 2018
Excellent post on generalisation of Bayesian methods by @sebnowozin Do Bayesian Overfit? (you would never guess the answer;))https://t.co/9CEpDShhSk
— Ferenc Huszár🇪🇺 (@fhuszar) July 11, 2018
Little Python command-line trick that I use very often:
— Jake VanderPlas (@jakevdp) July 10, 2018
$ python -m http.server
Launch a simple filesystem-backed webserver in one line!
Check out this end-to-end example of generating Shakespeare-like text using tf.keras + eager → https://t.co/icSa6DQ0GQ pic.twitter.com/aixjtlHtTS
— TensorFlow (@TensorFlow) July 10, 2018
Edward - Probabilistic Modeling Made Easy by Maja Rudolph - https://t.co/yQkReJomvU. An introducion to the tensorflow & Edward basics that are necessary to look at a few modeling examples. Examples cover how to fit a Bayesian neural network & an embedding model to real data.
— Python Software (@ThePSF) July 10, 2018
As someone who asks for odds ratios *and* relative risk at the vet 🐶, I 🖤 this post…
— Mara Averick (@dataandme) July 10, 2018
"How the odds ratio confounds: a brief study in a few colorful figures" by Keith Goldfeld https://t.co/d3Y0wbmxmE #rstats #statistics pic.twitter.com/WOdbmeJxBb
TIL Jupyter Notebooks can now share kernels within Jupyter Lab. Makes it easy to share state between notebooks. #Python #SciPy2018https://t.co/EL1yHIhbXP pic.twitter.com/zERcRSBA9e
— Randy Olson (@randal_olson) July 10, 2018
New post with @JasonPunyon! Classifying comments on @StackOverflow ⚖️https://t.co/jvGSFIAkCW pic.twitter.com/Mrs2DjdI9H
— Julia Silge (@juliasilge) July 10, 2018
Model AI Assignments https://t.co/twAot7jT4J - This is a neat collection of assignments/exercises to learn about various Machine Learning techniques
— Denny Britz (@dennybritz) July 10, 2018
Btw - this isn't a static, manually curated list. It's generated in Python on kernel tags, votes, and other metadata in a public Kaggle data release (updated daily). Expand the code sections in the notebook to see the source https://t.co/UEajPWWYVu
— Ben Hamner (@benhamner) July 10, 2018
A Tour of Reinforcement Learning: The View from Continuous Control. A nice review paper, and a summary of @BeenWrekt's views of the RL field from his series of recent blog posts. https://t.co/ViCPPruced
— hardmaru (@hardmaru) July 10, 2018
New #nlproc blog post: "Design Patterns for Production NLP Systems" https://t.co/m4a4MYgtfT pic.twitter.com/GUdydhnHVy
— Delip Rao (@deliprao) July 9, 2018
Well here goes. Our ICML Debates paper is live: "Troubling Trends in Machine Learning Scholarship". If anyone needs me, I'll be in witness protection. 🙄 https://t.co/ziPWyhvwKP
— Zachary Lipton (@zacharylipton) July 9, 2018