Why ARiMA Is Not Sufficient

Data Skeptic


Name is chung show carney associated professor and the southwest johnson university in trump province in china. And can you tell me a little bit about your specific research areas. What do you study my research areas. Congress daytime my machine learning and data analytics gender most specifically focused on forecasting demand focusing in retail and time series focused sich of sees. So the main pay for. I asked you on to discuss. Today is wire arena and serena or s arema not sufficient. You'd mentioned you have a good background in machine learning. I don't necessarily think of a reema as a machine learning technique. How do these two areas fit together in your mind. Actually because the site focused teams all problems and can be served by machinery and when the approached this focusing problem with fines and attorney time service models are very important solutions to forecast team problems. Other side focused is very important in today's areas because you're low many many data so always Focused in problem. We find penser is very important and we also find iron man. Sarah map and armagh. Those are very classic. Run divided news time service motives and when we do couldn't this i remind saruman model. We're fans than actually the classical extre nation or classical. Modern for iran. serena is northern sufficient sarichichekli. Either way actually approach. I remember sarim from elisa angle which is spectral lenzi's digital delivery and in your system theory so we use elisa angle to do countries a romance. I remember motive defines onto loads dench a sufficient from the rich porno view. So this is the whole ground

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