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README.md

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This repository will contain my work from the Machine Learning Course that was created by Stanford and delivered through Coursera. I will be implementing solutions in MATLAB.
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This course provides a broad introduction to machine learning, datamining, and statistical pattern recognition.
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Topics include: (i) Supervised learning (parametric/non-parametric algorithms, support vector machines, kernels, neural networks).
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(ii) Unsupervised learning (clustering, dimensionality reduction, recommender systems, deep learning).
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(iii) Best practices in machine learning (bias/variance theory; innovation process in machine learning and AI).
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The course also draws from numerous case studies and applications, allowing me to apply learning algorithms to building smart robots (perception, control), text understanding (web search, anti-spam), computer vision, medical informatics, audio, database mining, and other areas.
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