Chapter 12

1. Three main differences between machine learning and deep learning are as follows:

• Deep learning algorithms need to have a high-end infrastructure to train properly. Deep learning techniques heavily rely on high-end machines, contrary to traditional machine learning techniques, which can work on low-end machines.
• When there is a lack of domain understanding for both feature introspection and engineering, deep learning techniques outperform other techniques because you have to worry less about feature engineering.
• Both machine learning and deep learning are able to handle massive dataset sizes, however machine learning methods make much more sense when dealing with small datasets. A rule of thumb is to consider that deep learning outperforms other techniques if the data size is large, while traditional machine learning algorithms are preferable when the dataset is...