Lossy compression is a data compression method that uses inexact approximations and partial data discarding to reduce file sizes. It is most commonly used for multimedia data, while lossless compression is typically used for text and data files. The most widely used lossy compression algorithm is the discrete cosine transform (DCT). To avoid further information loss, it is best to make a master lossless file which can then be used to produce additional copies from.
Stanford University
Spring 2022
CS 168 provides a comprehensive introduction to modern algorithm concepts, covering hashing, dimension reduction, programming, gradient descent, and regression. It emphasizes both theoretical understanding and practical application, with each topic complemented by a mini-project. It's suitable for those who have taken CS107 and CS161.
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