" If there was no free lunch, then all the particles in the universe would have the same laws or random laws. "
This is not true. There is no-free-lunch in everyday application of machine learning. When one finds out that one type of model performs better than another type of model (e.g., Bayes vs. Markov chain or Deep NN vs. decision tree), there is always no free lunch involved. You pick one model that is good for data set A, the same model is bad for data set B. And these are real data sets in our real life. No free lunch hits us in daily practice all the time. I cover that also in my advanced course on machine learning at Udemy. Best Danko On Tue, Feb 4, 2020 at 7:25 PM <immortal.discover...@gmail.com> wrote: > Last night I came up with a short way to say my point: If there was no > free lunch, then all the particles in the universe would have the same laws > or random laws. What I mean is physics works a certain way, Earth is > evolving a certain way, and this path that it favors is the Ride we get for > free. No matter how you look at it, the evolution 'E' of a system is simply > what happens and we have to be happy with it - water flowing down a river > has no other choice, we aren't lucky to have the laws of physics we have. > So yes things are very predictable; our physics favors a path(s) of > evolution. As for the hitching a ride with mom's dinners but someone still > pays the price (mom), of course, you get something for free....and she > probably gets some stuff for free too..... But as I said it doesn't matter > what we get for 'free', it's just evolution taking its path. We have laws > of physics. Predicting stuff is part of that. And the form we evolve into > will be a Survival type, we will be much more happier / very long lives / > our searches will be very more perfect and will survive/succeed using those > searches...hence for our physics and our system we totally 'win' and have > great search and plan of action. > *Artificial General Intelligence List <https://agi.topicbox.com/latest>* > / AGI / see discussions <https://agi.topicbox.com/groups/agi> + > participants <https://agi.topicbox.com/groups/agi/members> + delivery > options <https://agi.topicbox.com/groups/agi/subscription> Permalink > <https://agi.topicbox.com/groups/agi/T353f2000d499d93b-M6a8386d0bb0c524016acebac> > -- Prof. Dr. Danko Nikolić www.danko-nikolic.com https://www.linkedin.com/in/danko-nikolic/ ------------------------------------------ Artificial General Intelligence List: AGI Permalink: https://agi.topicbox.com/groups/agi/T353f2000d499d93b-Mbf6fd859f99a5bf4a8c6d961 Delivery options: https://agi.topicbox.com/groups/agi/subscription
