Author Archives: Amal Nair - Page 12
To exploit data, we must know what exactly to look for in the data. Data in this generation makes for an invaluable tool for business, especially in the marketing and advertising sectors. In this article, we will talk about Apriori Algorithm which is one of the most popular algorithms in Association Rule Learning. So before…
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When you enter the Machine Learning dimension, it is highly likely that one of the first classifier algorithms you might come across is SVM, you will find that SVM is all over the place. SVM which stands for Support Vector Machine is one of the most popular classification algorithms used in Machine Learning. In this…
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With lots of Machine Learning algorithms out there it is often hard and confusing as to which to choose for our model especially for those who are just preparing for a big dive into data science. And no, I’m not talking about Model Selection here. Of all the algorithms there is, there has to…
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Reinforcement learning has been one of the most researched machine learning algorithms. As an algorithm that can be closely related to how human beings and animals learn to interact with the environment, reinforcement learning has always been given huge importance especially when it comes to branches of Artificial Intelligence such as robotics. Reinforcement Learning is…
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When we talk about Machine Learning or Data Science or any process that involves predictive analysis using data — regression, overfitting and regularization are terms that are often used. Understanding regularization and the methods to regularize can have a big impact on a Predictive Model in producing reliable and low variance predictions. In this article,…
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There are many different complex and simple algorithms available to Data Scientists, in classification, a particularly simple algorithm managed to do wonders in ML applications. The Naive Bayes classification algorithm has been in use for a very long time, particularly in applications that require classification of texts. It is a probabilistic algorithm based on the…
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A Data Scientist with no data is only as good as a carpenter with no timber. They may have exceptional skills with all the tool sets but neither of them have what’s important to show off those exceptional skills. The overall estimated size of data on the internet today is 1.2 million terabytes. That is…
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For someone who has an interest in Data Science, Regression is probably one of the first Predictive Models that s/he may begin with. Regression is easier to understand and even easier to implement considering all those ready made packages and libraries all set to perform complex mathematical computations effortlessly without leaving his or her brain…
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Dimensionality Reduction is an important and necessary step when we have a big data in hand with so many features. When there are so many features or columns, it is hard to understand the correlation between them. Including weak links or correlations in training-data can also result in an inaccurate prediction by the model. Dimensionality…
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One of the most popular algorithms used in statistical analysis, Logistic Regression is a great tool for predictive analysis and has its applications firm rooted in Machine Learning. The algorithm is a classifier, which in Machine Learning or Data Science context refers to the ability to predict categorical values as opposed to Regression Algorithms which…
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