whether or not it is suitable for going fishing true classification tree data set would have lot more features than what is outlined abovebut relationships should be straightforward to determine when working with decision tree learningseveral determinations need to be madeincluding what features to choosewhat conditions to use for splittingand understanding when the decision tree has reached clear ending deep learning deep learning attempts to imitate how the human brain can process light and sound stimuli into vision and hearing deep learning architecture is inspired by biological neural networks and consists of multiple layers in an artificial neural network made up of hardware and gpus deep learning uses cascade of nonlinear processing unit layers in order to extract or transform features (or representationsof the data the output of one layer serves as the input of the successive layer in deep learningalgorithms can be either supervised and serve to classify dataor unsupervised and perform pattern analysis among the machine learning algorithms that are currently being used and developeddeep learning absorbs the most data and has been able to beat humans in some cognitive tasks because of these attributesdeep learning has become the approach with significant potential in the artificial intelligence space computer vision and speech recognition have both realized significant advances from deep learning approaches ibm watson is well-known example of system that leverages deep learning