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9 Algorithms That Changed the Future and Data compression

Difference between 9 Algorithms That Changed the Future and Data compression

9 Algorithms That Changed the Future vs. Data compression

9 Algorithms that Changed the Future is a 2012 book by John MacCormick on algorithms. In signal processing, data compression, source coding, or bit-rate reduction involves encoding information using fewer bits than the original representation.

Similarities between 9 Algorithms That Changed the Future and Data compression

9 Algorithms That Changed the Future and Data compression have 4 things in common (in Unionpedia): Algorithm, Data compression, Forward error correction, Pattern recognition.

Algorithm

In mathematics and computer science, an algorithm is an unambiguous specification of how to solve a class of problems.

Data compression

In signal processing, data compression, source coding, or bit-rate reduction involves encoding information using fewer bits than the original representation.

Forward error correction

In telecommunication, information theory, and coding theory, forward error correction (FEC) or channel coding is a technique used for controlling errors in data transmission over unreliable or noisy communication channels.

Pattern recognition

Pattern recognition is a branch of machine learning that focuses on the recognition of patterns and regularities in data, although it is in some cases considered to be nearly synonymous with machine learning.

The list above answers the following questions

• What 9 Algorithms That Changed the Future and Data compression have in common
• What are the similarities between 9 Algorithms That Changed the Future and Data compression

9 Algorithms That Changed the Future and Data compression Comparison

9 Algorithms That Changed the Future has 10 relations, while Data compression has 168. As they have in common 4, the Jaccard index is 2.25% = 4 / (10 + 168).

References

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