Rx Data Science and Artificial Intelligence
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Top Artificial Intelligence Skills
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Artificial Intelligence (AI) technology has been gaining popularity in recent years. From robots serving food in restaurants to self-driving cars, these ...

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Epoch in Machine Learning
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In this article, we'll shed light on "Epoch", a Machine Learning term, and discuss what it is, along with other relative terms like batch, iterations, ...

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Ensemble Techniques
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If you are a beginner who wants to understand in detail what is ensemble, or if you want to refresh your knowledge about variance and bias, the comprehensive ...

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Autoencoders
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Autoencoders are a type of deep learning algorithm that are designed to receive an input and transform it into a different representation. They play an ...

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Types of Agents in Artificial Intelligence
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Artificial Intelligence, typically abbreviated to AI, is a fascinating field of Information Technology that finds its way into many aspects of modern life. ...

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Multi-layer ANN
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A multilayer artificial neuron network is an integral part of deep learning. And this lesson will help you with an overview of multilayer ANN along with ...

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Classification in Machine Learning
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Our machines are getting more intelligent and more capable of independent tasks, and they owe it to the rapidly growing fields of Artificial ...

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Computer Vision: Applications, Benefits
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If you were told to name certain things that you’d find in a park, you’d casually mention things like grass, bench, trees, etc. This is a very easy task that ...

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How Netflix Uses AI, Data Science, And ML
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Netflix is widely regarded as the leading over-the-top (OTT) platform because of its reputation for offering users a wide variety of high-quality streaming ...

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AI In Digital Marketing
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Artificial Intelligence, or AI, might sound like an oxymoron, but it is making our world smarter by automating tasks, computing solutions, and improving ...

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Open-Source AI Frameworks
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A popular misconception is that programming languages are crucial for an AI framework based on neural networks. The results of an AI application are determined ...

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Recursive Neural Network
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Recursive Neural Networks (RvNNs) are deep neural networks used for natural language processing. We get a Recursive Neural Network when the same weights are ...

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Backward Elimination Technique in Multiple Linear Regression
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As artificial intelligence and machine learning become more prevalent, so too does the need for efficient and accurate methods of training models. Backward ...

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Machine Learning Tools
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Every passing year brings the digital world a whole new crop of buzzwords and phrases.The influx of new terms means all aspiring tech gurus are obliged to keep ...

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Beginner’s Guide To Kohonen Map
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The concept of a self-organizing map, or SOM, was first put forth by Kohonen. It is a way to reduce data dimensions since it is an unsupervised neural network ...

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Simple Linear Regression
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Regression is a tool that allows you to estimate how the dependent variable changes as the independent variable(s) change. Regression models describe the ...

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Data Mining
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Our rapidly growing digital world has popularized so many new terms and phrases that it’s easy to get overwhelmed or lose track. The onslaught of technobabble ...

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Information Retrieval (IR) Syste
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Information retrieval is defined as a completely automated procedure that answers to a user query by reviewing a group of documents and producing a sorted ...

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Artificial Intelligence and Machine Learning Job
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High-performance technologies have become increasingly important in recent years. Along with ubiquitous computing (including the Internet of ...

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What Is Polynomial Regression?
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Polynomial regression is a kind of linear regression in which the relationship shared between the dependent and independent variables Y and X is modeled as the ...

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