[kjw]

A great survey of the current landscape of ML tool innovation.

This reminds me of the explosion of "big data" tech, which feels like it started exploding in 2010 and peaked maybe five years later.

If ML follows a similar cycle, then in perhaps five years, most tools will have receded into obscurity but a few frameworks and approaches will become dominant. Big stakes and justifies the prevalence and investment in OSS.

Comparison of "big data" and "machine learning" in Google Trends -- https://trends.google.com/trends/explore?date=all&geo=US&q=b...

[etaioinshrdlu]

I literally worked at a company that did a major project called "Big Data". It was in 2013/2014. It used Hadoop. It was pretty useless :)

[rurban]

It will be called ML winter, not AI winter.