I'm aware of the gradient descent and the back-propagation algorithm. What I don't get is: when is using a bias important and how do you use it? ...

... @Jared I think you forgot to add this line "if(integerList.Count != 0)" before the first line – prabhakaran May 31 '12 at 10:04 ...

...的。jmp0xf 译自Edwin Chen How do you know what machine learning algorithm to choose for your classification problem? Of course, if you really care about accuracy, your best bet is to test out a couple different ones (making sure to try different parameters within each algorithm as well), and ...

...的。jmp0xf 译自Edwin Chen How do you know what machine learning algorithm to choose for your classification problem? Of course, if you really care about accuracy, your best bet is to test out a couple different ones (making sure to try different parameters within each algorithm as well), and ...

...的。jmp0xf 译自Edwin Chen How do you know what machine learning algorithm to choose for your classification problem? Of course, if you really care about accuracy, your best bet is to test out a couple different ones (making sure to try different parameters within each algorithm as well), and ...

...的。jmp0xf 译自Edwin Chen How do you know what machine learning algorithm to choose for your classification problem? Of course, if you really care about accuracy, your best bet is to test out a couple different ones (making sure to try different parameters within each algorithm as well), and ...

...的。jmp0xf 译自Edwin Chen How do you know what machine learning algorithm to choose for your classification problem? Of course, if you really care about accuracy, your best bet is to test out a couple different ones (making sure to try different parameters within each algorithm as well), and ...

...的。jmp0xf 译自Edwin Chen How do you know what machine learning algorithm to choose for your classification problem? Of course, if you really care about accuracy, your best bet is to test out a couple different ones (making sure to try different parameters within each algorithm as well), and ...

...的。jmp0xf 译自Edwin Chen How do you know what machine learning algorithm to choose for your classification problem? Of course, if you really care about accuracy, your best bet is to test out a couple different ones (making sure to try different parameters within each algorithm as well), and ...

...的。jmp0xf 译自Edwin Chen How do you know what machine learning algorithm to choose for your classification problem? Of course, if you really care about accuracy, your best bet is to test out a couple different ones (making sure to try different parameters within each algorithm as well), and ...