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The “deep” in “deep learning” refers to the number of layers through which the data is transformed. Deep learning has a large number of layers as compared to classical neural networks.
If you want to practice machine learning, you should learn data visualization because you have a superb pattern matcher in your head. The human eye is wonderful at extracting patterns from images.
In the space of data, there are usually two kinds of researchers.
A Smart List is an audience that Google Analytics creates for you automatically.
For developing intelligent chatbots not only a machine learning algorithms are sufficient. We need a combination of both machine learning and advanced NLP (Natural Language Processing).
