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Author Archive

Representation Learning

Representation Learning 101- Get Ready, Set & Go!

Representation learning, a part of decision tree representation in machine learning, is also known as feature learning. It comprises of a set of techniques that helps the system discover representations required to detect the features or to classify the raw data available. This learning is an important part of decision tree representation in machine learning […]

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Understanding Support Vector Machines and Its Applications

Support vector machines are a type of supervised machine algorithm for learning which is used for classification and regression tasks. Though they are used for both classification and regression, they are mainly used for classification challenges. The original SVM algorithm was invented by Vladimir N. Vapnik and Alexey Ya. Chervonenkis in 1963. A support vector […]

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All About Data Structures and Algorithms in Python

Learning a programming language is not as complicated or daunting as it may sound. One such easy-to-learn and use programming language, which is just the best thing for beginners to start with is Data Structures and Algorithms in Python. In this article, we shall know more about Python as an object-oriented programming language in general; […]

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Understanding Machine Learning Algorithms

Want to know about Machine Learning Algorithms? To gain a better understanding of it, let’s start from the basics. The most trending concept “machine learning” is the learning demonstrated by machines based on some data by which they function on their own and improve over time by experiences. Some examples where machine learning can be […]

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