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VII ISE 2015 Syllabus PDF

27 Pages·2018·English
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by ['Heena']| 2018| 27 pages| English

About VII ISE 2015 Syllabus

This document outlines the course objectives, modules, and outcomes for a course on Machine Learning that introduces students to different machine learning techniques like neural networks, Bayes classifier, and k-nearest neighbor. The course differentiates between supervised, unsupervised, and reinforcement learning and enables students to apply statistical analysis to machine learning problems. The modules cover topics ranging from introductions to machine learning to specific algorithms like concept learning and neural networks.

Detailed Information

Author:['Heena']
Publication Year:2018
Pages:27
Language:English
Format:PDF
Price:FREE
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