From MIT Tech Review article called “Google shows how AI might detect lung cancer faster and more reliably” we have the following information: Early warning: Danial Tse, a researcher at Google, developed an algorithm that beat a number of trained radiologists in testing.
New tool in the market to help in hyperparameter tuning as a service called Keras Tuner.They are accepting some people to be beta users of this tool.
Two very thoughtful articles about it: a) Roger’s Peng article called Tukey, Design Thinking, and Better Questions that contains the following passage: If a good exploratory technique gives you more data, then maybe good exploratory data analysis gives you more questions, or better questions.
This repository curated by Sebastian Ruder it’s a great source of techniques and benchmarks about the state-of-the-art in NLP research.
In a very insightful article made by David Talby he discuss about the fact that in a second that a Machine Learning goes to production, actually this model starts degradate itself because the model contact with the reality, where the author uses the following statement: The key is that, in contrast to a calculator, your ML system does interact with the real world.