Part 1/8:
Understanding Information Theory in Machine Learning
In the realm of statistics and machine learning, the conversation often revolves around the concepts of structure and data. A pertinent question arises: what does this really entail? One powerful framework that helps clarify these concepts is information theory, which fundamentally examines how data can preserve and convey information. The marvels of information theory are not limited to theoretical discussions; in our daily lives, we engage with technology that heavily relies on these principles, often without realizing it.