Machine Learning – Week 11

And I make it all the way to the end! With the last week of this fantastic introductory course on Machine Learning completed, I proceeded to procure the certificate of completion. This certificate can be linked to on your LinkedIn profile. For the last week, we dove into the area of Image Processing and Character […]

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Machine Learning – Week 10

No denying, I am proud of having come this far. This and another week to go before I can bring this course to a closure. Week 10 comprised of discussions on various flavors of Gradient Descent such as Stocastic and Mini-Batch Gradient Descent. We also worked through some of the big data processing techniques such […]

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Machine Learning – Week 9

Week 9 covered one of the most widespread applications of Machine Learning – Recommender Systems. These are the systems that churn business for e-commerce sites like Amazon and the streaming giant Netflix. Recommender systems take into consideration the past behaviors and decisions of their users and make recommendations of products and services that these users […]

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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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Machine Learning – Week 5

I’ve fallen behind schedule. With guests and family visiting us and after a long weekend road trip to Los Angeles and Las Vegas, my progress has suffered. I need to begin stretching myself to catch up now. The flurry of the holiday weekend travels having settled now, I’m back in the business of sitting down […]

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Machine Learning – Week 4

Week 4 marked the beginning of our foray into the area of Neural Networks. This is an important topic in Machine Learning that is modeled after the Human brain and its interconnected network of neurons. Neural networks are capable of arriving at complex non-linear learning hypothesis, and are highly suited for designing systems that can […]

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Machine Learning – Week 3

This week, a new Machine Learning classifier algorithm ‘Logistic Regression’ was studied. The problem of over-fitting a curve to the given data set was addressed with the mechanism of Regularization.

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Machine Learning – Week 2

Week two got us started on getting some hands-on with Matlab, and a programming assignment. Linear regression that was confined to a single variable in week 1 was now extended to multiple variables.

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