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Author Archive

Representation Learning

Representation Learning 101- Get Ready, Set & Go!

Representation learning, a part of 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 machine learning as it replaces manual intervention to a large […]

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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 Python. In this article, we shall know more about Python as an object-oriented programming language in general; learn about the different types […]

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Understanding Support Vector Machines and Its Applications

What are support vector machines? 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. A support vector algorithm is performed by plotting each acquired value of data as […]

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Understanding Machine Learning Algorithms

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 used are in data mining, natural language processing, image recognition, video games, expert systems, etc. Machine Learning was coined […]

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