December 2018
Intermediate to advanced
764 pages
18h 18m
English
book
Python: Advanced Guide to Artificial Intelligence
by Giuseppe Bonaccorso, Armando Fandango, Rajalingappaa Shanmugamani
Content preview from Python: Advanced Guide to Artificial Intelligence
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Loss and cost functions
At the beginning of this chapter, we discussed the concept of generic target function so as to optimize in order to solve a machine learning problem. More formally, in a supervised scenario, where we have finite datasets X and Y:
We can define the generic loss function for a single sample as:
J is a function of the whole parameter set, and must be proportional to the error between the true label and the predicted. Another ...
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.