Table 1.

Machine learning versus deep learning

Machine learning	Deep learning
Can perform with smaller amounts of data	Benefits from large amounts of data
Can work on low-end machines	Requires a high-end machine to train but can be run on low-end machines (e.g., smart phones)
Depends on specific function to reach a conclusion	Can learn very complex functions to reach a conclusion
Important features must be identified by an expert	Neural network determines most important features, do not need to be identified by an expert
Short time to train	Long time to train
Uses statistical methods to improve with experience	Mimics functionality of human brain neural networks