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.
Most of the time we completely rely in the default parameters of Machine Learning Algorithm and this fact can hide that sometimes we can make wrong statements about the ‘efficiency’ of some algorithm.