Are ML and Statistics Complementary? [pdf]
I think feasibility to get an explanation for the results of modern machine learning is wishful thinking. I personally cannot explain my gut feelings. So why should we expect an explanation when machine deals with the same class of problems?<p>Besides, it is easy to get wrong explanation and, as Vladimir Vapnik in his 3 metaphors for complex world observed, <a href="http:&#x2F;&#x2F;www.lancaster.ac.uk&#x2F;users&#x2F;esqn&#x2F;windsor04&#x2F;handouts&#x2F;vapnik.pdf" rel="nofollow">http:&#x2F;&#x2F;www.lancaster.ac.uk&#x2F;users&#x2F;esqn&#x2F;windsor04&#x2F;handouts&#x2F;vap...</a> , &quot;actions based on your understanding of God’s thoughts can bring you to catastrophe&quot;.