Machine Learning – Week 8

This was the beginning of our foray into the area of unsupervised learning. Unsupervised learning algorithms are the category of Machine Learning algorithms where the data we’ve been handed are not labeled, so we no longer are at the vantage point of deciphering what the intent of a given data set is to begin with. Unsupervised […]

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Machine Learning – Week 7

We worked through some of the most important areas of Machine Learning – ‘Support Vector Machines’ (SVM) and ‘Kernels’. SVMs belong to the category of classification problems and are well suited to offer the best separation between different classes of data. Kernels are a subset of SVMs that present you with non linear classification of […]

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Machine Learning – Week 6

The sixth week of Machine Learning was very abstract and subjective. I’ve been seeing things getting more and more subjective as the weeks progress. This makes gaining deeper insights harder and leads to subject mastery being based more on experience. During the course of this week, we learned how to evaluate the data set that […]

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