One NLP model to rule them all 😉
We've open sourced code & demo of our latest Hierarchical Multi-Task Learning model. SOTA on several NLP tasks!
Try (and modify !) it for yourself 🎮
Demo: https://t.co/GVa5YGxzgF
Code: https://t.co/r5Tm4F3oyZ
Medium: https://t.co/A24dhps9Ph
Check out this excellent guide to text classification from Google. Covers important best practices and rules of thumb, including a complete flowchart for picking the right model & preprocessing pipeline based on the statistical structure of your dataset. https://t.co/COd9ckdME6
Polyglot Data Science: Python, R, @JuliaLanguage and Fortran cooperating in-process, through @IPythonDev; demo code:
https://t.co/93tIyWY68k
Language wars among open tools are pointless, they complement each other.
Video/slides of the talk @UCBIDS: https://t.co/voEKY5FUVj
Important #longread from my colleague Michael Jordan with a measured academic look at AI hype and computational/statistical reality and opportunity around Data, ML, and yes, AI. https://t.co/RXqWK58Yza
Tuesday shoutout, used my 'free-reading-hour' today to watch a video @_brohrer_ did on Bayes Theorem. After relearning Bayesian concepts several times, with these explanations 'the coin fell' as we say. Time well spent
https://t.co/C2mgP7K8FZ
This map superimposes the border of the German Empire (1871-1918) on the electoral results of the 2007 Parliamentary elections in Poland.
Another great example of the long term impact of past institutions.
Orange/red = PO, centre right
Blue = PIS, right (currently in power)
My book is about ethical leadership & draws on stories from my life & lessons I learned from others. 3 presidents are in my book: 2 help illustrate the values at the heart of ethical leadership; 1 serves as a counterpoint. I hope folks read the whole thing and find it useful.
Get a free draft copy of my book on how to structure Machine Learning projects: https://t.co/TgvKPa033r I’d started this before but got distracted building Deep Learning Specialization; I’m now rebooting this. Sign up to get free chapters as they’re released!
TensorFlow.js: train and use deep learning models directly in the browser, in JavaScript. Includes the full Keras API, and ability to load saved Keras models (and even fine-tune them in the browser)! https://t.co/SxUQ7xWf1A