Our research article titled “Multi Class Review Rating Classification Using Deep Recurrent Neural Networks” was published in an international journal “Neural Processing Letters” on 15 October 2019. In this tutorial, we briefly discuss the objectives, short summary, key contributions, and main findings presented in the article.
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Data Science is an interdisciplinary field of scientific algorithms, tools, and technologies to extract useful insights from the data. This blog post lists the 10 data science career paths with job responsibilities and required skills, tools and technologies.
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Deep learning is a branch of machine learning based on the artificial neural networks which automatically optimize their learned rules/ patterns when there’s a wrong prediction.
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Machine learning is a branch of Artificial Intelligence which deals with providing systems the ability to learn and improve from data samples without explicit programming instructions.
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Artificial intelligence is a field of computer science which deals with tools and techniques to train machines so that they can solve complex problems with maximum success rate. These machines learn the hidden parameters from the available data-set and then solves the unknown problems based on the learned patterns.
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Machine Learning is basically, to train machines (computers) by feeding them with huge amount of data. As a result they can predict/extract useful information based on previously available data. For example in order for a computer to recognize hand writing, we need to train that computer by feeding it with large amount of different handwriting samples.
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