added ReadME

Author: Japjot Singh

README.md

@@ -7,9 +7,13 @@ This repository will contain my work from the [Machine Learning Course](https://
 This course provides a broad introduction to machine learning, datamining, and statistical pattern recognition. 
 
 ### Topics include: 
-#### Supervised learning (parametric/non-parametric algorithms, support vector machines, kernels, neural networks). 
-#### Unsupervised learning (clustering, dimensionality reduction, recommender systems, deep learning). 
-#### Best practices in machine learning (bias/variance theory; innovation process in machine learning and AI).
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+#### Supervised learning (parametric/non-parametric algorithms, support vector machines, kernels, neural networks)
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+#### Unsupervised learning (clustering, dimensionality reduction, recommender systems, deep learning)
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+#### Best practices in machine learning (bias/variance theory; innovation process in machine learning and AI)
 
 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.