Preface
In the last few years, we have seen spectacular growth in the field of data science. Almost every day there is some kind of new development, for example, a research paper announcing a new or improved machine learning or deep learning algorithm, or a new library for one of the most popular programming languages.
In the past, many of those advances did not make it to mainstream media. But that is also changing rapidly. Some of the recent examples include the AlphaGo program beating the 18-time world champion at Go, using deep learning to generate realistic faces of humans that never existed, or the beautiful digital art created from a text caption using models such as DALL-E 2 or Stable Diffusion.
Another example of recent and spectacular ...
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