Mathematics of Artificial Intelligence: The learning problem in neural networks
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2y ago
In the following video, we will explain them from the perspective of functional analysis and variational calculus ..read more
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Genetic algorithms for feature selection
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2y ago
In this article, we show how genetic algorithms can be applied to optimize a predictive model's performance by selecting the most relevant features ..read more
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5 algorithms to train a neural network
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2y ago
The learning problem in neural networks is formulated in terms of the minimization of a loss function ..read more
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3 methods to treat outliers in machine learning
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2y ago
In this post, we talk about 3 different methods of dealing with outliers ..read more
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Performance comparison for dense networks in GPU: TensorFlow vs PyTorch vs Neural Designer
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2y ago
are three popular machine learning platforms developed by This post compares the GPU training speed of these platforms for an approximation benchmark ..read more
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How to benchmark the performance of machine learning platforms
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2y ago
However, comparing different machine learning platforms can be a difficult task due to the large number of factors involved in the performance of a tool ..read more
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The Rosenbrock Dataset Suite for benchmarking approximation algorithms and platforms
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2y ago
This post introduces a family of datasets known as the Rosenbrock Dataset Suite. The objective is to facilitate benchmarking of machine learning platforms ..read more
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5 applications of learning analytics
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2y ago
In this post, we explain what learning analytics is and 5 applications: student monitorization, factors influencing learning, student outlier detection, dropout and score prediction and course recommendation ..read more
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6 potential benefits of artificial intelligence in your business
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2y ago
In this post, we explain how artificial intelligence can positively impact your company ..read more
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