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The Learning Landscape: A Flexible View of Machine Learning
Machine learning is often divided into neatly defined categories: supervised, unsupervised, semi-supervised, and reinforcement learning. In reality, learning – whether in machines or humans – functions more like a fluid landscape, where different approaches blend and interact. In this blog, we’ll explore the concept of the ‘learning landscape,’ where traditional types of machine learning are Read the full article…
Parallel Distributed Processing
In the mental sphere, Parallel Distributed Processing (PDP) is nature’s way to reach ever more complexity. It’s also the title of a phenomenal book (edited) by Rumelhart & McClelland, published in 1986 — my mind-opener a few years later. Much AURELIS-thinking started then. Subconceptual In PDP, the basic units of mental processing are not the Read the full article…