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Category: AI and ML

the-bayesian-classifiers
Oct 212020

The Powers And Limits Of Machine Learning : The Bayesian Classifiers

Introduction In that article, we will look quite in detail to one of the most powerful classes of Machine Learning and Artificial Intelligence algorithms that

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what-is-support-vector-machines
Oct 202020

What Is Support Vector Machines?

Introduction In the present article, we shall explain what are the Support Vector Machines (SVMs) and how the kernel-based SVM classifiers are working.  Support Vector

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what-is-hidden-markov-model-classifiers
Oct 172020

What Is Hidden Markov Model Classifiers(HMMs)?

In this article we will explore a very special class of classifiers, the Hidden Markov Model Classifiers (HMMs). They are mainly a statistical and probabilistic

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what-is-bayesian-networks-classifiers
Oct 152020

What is Bayesian Networks Classifiers?

Introduction To Bayesian networks Bayesian networks are based on bayesian logic. In Bayesian logic, information is known using conditional probabilities which can be computed using

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what-is-perceptron
Oct 132020

What Is Perceptron?

In this article, we will detail what is a single-layer perceptron and how it is used in Machine Learning. Definition Of A perceptron  The perceptron

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what-is-convolutional-neural-networks
Oct 132020

What Is Convolutional Neural Networks?

Introduction To Multiple Layers Neural Networks Efficient Neural networks are multiple layers of neural networks, which is also called Deep Learning neural network.In such systems,

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what is deep learning
Oct 092020

What is Deep Learning?

Introduction Deep learning is a recurring topic in the context of “Artificial Intelligence” but its definition is often unclear. Indeed, there are several different ways

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Artificial Intelligence and Genetic Algorithm
Aug 192019

The AI Algorithms That We Borrowed From Nature

Why We Find AI in Nature Artificial Intelligence is usually conceived as the manifestation of any non-human intelligence, this later one is described in opposition

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