Deep learning
Deep learning is an area of data science that is experiencing rapid advancement and generating a lot of excitement. Some deep learning models are better at certain types of image recognition than humans. When stories in the media mention artificial intelligence, they are usually referring to deep learning models.
Deep learning models are very complex although several of the concepts are similar to the ML concepts we have discussed so far in this chapter (such as the bias-variance tradeoff). Deep learning models can have millions of features and can take days or weeks to train.
Use cases for deep learning with IoT data
Deep learning can do wonders for complex data, with thousands to millions of features and a large history of labeled examples to use as training sets. The rapid advancements in image recognition has as much to do with the vast trove of identified images that Google and others have collected over the years, as to the advances in the deep learning algorithms used.
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