Mastering Machine Learning Design Patterns in Python (Part Four : Final Part of KNN Series)

In Computer Science Engineering, design patterns are implemented to architect a software design solution. Implementing industrial best practices for object-oriented programming and code implementation require design patterns at a higher-level as an abstract solution. Most of the functions in Python are first-class citizens. The biological cognitive models based on the way the complex computations work in the brain inspire the architecture for neural networks for machine learning and deep learning. The connectionism in the human brain is implemented through artificial neural networks and massively parallel distributed processing with a wide range of capabilities for the models of memory, attention span, semantic representation, language, inception formation, and cognitive reasoning.