Opinions on State of the Art of Automated Machine Learning

Very useful piece here,  the individual comments at the link are most interesting, the key takeaways are mostly obvious. 

State of the Art in Automated Machine Learning in InfoQ

Anthony Alford, Francesca Lazzeri

Key Takeaways:

-Automated Machine Learning (AutoML) is important because it allows data scientists to save time and resources, delivering business value faster and more efficiently

-AutoML is not likely to remove the need for a "human in the loop" for industry-specific knowledge and translating the business problem into a machine learning problem

-Some important research topics in the area are feature engineering, model transparency, and addressing bias

-There are several commercial and open-source AutoML solutions available now for automating different parts of the machine learning process

-Some limitations of AutoML are the amount of computational resources required and the needs of domain-specific applications  ... "  

(Below at the link lots of individual, often technical comments on the progress and state of automation.  Well worth scanning at least)  ...