Comment on Successful machine learning models: lessons learned at Booking.comparentComments−minxomat6yThat gave me a flashback to the early 2000s AIML chatbot craze. "What, you have an online store and no customer chatbot? What are you doing?!"−nerdponx6yFlipside is that this ML (whether you consider it AI or not) really is delivering huge value to the businesses that deploy them.−otabdeveloper46yNot really.Today's ML is really good at speech and image recogniziton, which makes for some very eye-popping layman demos.Whereas what businesses really want is time series prediction, and modern ML really sucks balls at solving this problem.−nerdponx6yDeep learning or machine learning?I agree on the former, and quite strongly disagree on the latter, even if it means redefining ML to be dressed-up statistics.−otabdeveloper46yForecasting in 2019 is still using techniques from 1950. You can call that "machine learning", but only if you really want to make people confused by marketing speak.
Comments
That gave me a flashback to the early 2000s AIML chatbot craze. "What, you have an online store and no customer chatbot? What are you doing?!"
Flipside is that this ML (whether you consider it AI or not) really is delivering huge value to the businesses that deploy them.
Not really.
Today's ML is really good at speech and image recogniziton, which makes for some very eye-popping layman demos.
Whereas what businesses really want is time series prediction, and modern ML really sucks balls at solving this problem.
Deep learning or machine learning?
I agree on the former, and quite strongly disagree on the latter, even if it means redefining ML to be dressed-up statistics.
Forecasting in 2019 is still using techniques from 1950. You can call that "machine learning", but only if you really want to make people confused by marketing speak.