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Machine Learning Overview and Applications by P R Prasad is a document available to read on EtoBox.

What is Machine Learning Overview and Applications about?

This document provides an overview of machine learning concepts, focusing on how to acquire models from data through various techniques such as supervised, unsupervised, and reinforcement learning. It discusses the importance of parameters, structure, and hidden concepts, along with practical applications like spam filtering and digit recognition using Naïve Bayes classifiers. Additionally, it addresses challenges such as overfitting and the need for smoothing in model estimation.

Author

P R Prasad

Language

EN