Data Science #3 - "A Mathematical Theory of Communication" (1948), Shannon, C. E. Part - 1
Data Science Decoded
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Exploring Digital Communication Principles
This chapter examines the core principles of digital communication, comparing digital and analog signals, and introduces discrete noiseless systems and channel capacity. It discusses empirical methods for calculating bit error rates and the significance of encoding information efficiently to optimize data transmission. Additionally, connections to real-world applications in deep learning and machine learning are highlighted, showcasing the relevance of Shannon's theory in today's technology.
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