Category Archives: Machine Learning

Updated on: 25th Sep 2020

Classification – Machine Learning Tutorial

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Classification is one of the most fundamental concepts in data science. Classification algorithms are predictive calculations used to assign data to preset categories by analyzing sets of training data.  What Is Classification? Classification is the process of recognizing, understanding, and grouping ideas and objects into preset categories or “sub-populations.” Using pre-categorized training datasets, machine learning […]

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Updated on: 25th Sep 2020

Tensorflow Tutorial

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Today, in this TensorFlow tutorial for beginners, we will discuss the complete concept of TensorFlow. Moreover, we will start this TensorFlow tutorial with history and meaning of TensorFlow. Also, we will learn about Tensors & uses of TensorFlow. Along with this, we will see TensorFlow examples, features, advantage, and limitations. At last, we will see […]

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Updated on: 25th Sep 2020

Deep Learning Tutorial

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What is Deep Learning? Deep Learning is a subset of Artificial Intelligence – a machine learning technique that teaches computers and devices logical functioning. Deep learning gets its name from the fact that it involves going deep into several layers of network, which also includes a hidden layer. The deeper you dive, you more complex […]

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Updated on: 25th Sep 2020

Perceptron Tutorial

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In machine learning, the perceptron is an algorithm for supervised learning of binary classifiers. It is a type of linear classifier, i.e. a classification algorithm that makes all of its predictions based on a linear predictor function combining a set of weights with the feature vector. The linear classifier says that the training data should […]

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Updated on: 21st Sep 2020

Machine Learning Tutorial

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We are living in the ‘age of data’ that is enriched with better computational power and more storage resources. This data or information is increasing day by day, but the real challenge is to make sense of all the data. Businesses & organizations are trying to deal with it by building intelligent systems using the […]

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