Deep Learning, NLP, NMT, AI, ML
Python tutorials
Hi Folks, If you are a data scientist working with machine learning models you may know that our model understands numerical values. While working with Natural language processing to make our models understand our words we need to embed our words into vectors.
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Given two collections of entities, such as product listings, the entity matching (EM) problem aims to identify all pairs that refer to the same object in the real world, such as products, publications, businesses, etc. Recently, deep learning (DL) techniques have been widely applied to the EM problem and have achieved promising results. Unfortunately, the performance gain brought by DL techniques comes at the cost of reducing transparency and interpretability. The reason is that DL-based approaches are more like black-box […]
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Docker packaging is useful, but doing it well is not easy. Even limiting the scope of discussion to production use of Python applications, the number of details to cover is extensive enough that I’ve written over 50 articles on the topic, and created a number of products to speed up the packaging process. In a better universe, none of this would be necessary. So while Docker is often useful enough to merit this effort, in some situations you might be […]
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A step-by-step guide to summarizing text using NLP
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Photo by Cybèle and
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Neste artigo, será realizada uma análise exploratória de dados referente a um dataset intitulado: House Prices — Advanced Regression Techniques obtido no kaggle. O link para o repositório no github contendo o código utilizado nessa análise será disponibilizado ao final do artigo.
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You’ve likely encountered Python’s if __name__ == “__main__” idiom when reading other people’s code. No wonder—it’s widespread! You might have even used if __name__ == “__main__” in your own scripts. But did you use it correctly? Maybe you’ve programmed in a C-family language like Java before, and you wonder whether this construct is a clumsy accessory to using a main() function as an entry point. Syntactically, Python’s if __name__ == “__main__” idiom is just a normal conditional block: 1if __name__ […]
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Have you ever wondered how, when typing a message on your phone, it’s able to suggest the next word? Or even being able to correct your spelling on the fly, turning your angry WhatsApp to your boss into a laughable matter because you end up telling them to go and duck themselves? One of the many ways to achieve next word suggestion is using an n-gram language model. This article briefly overviews what an n-gram language model is and how […]
Read moreAlthough it may seem simple, human language is noisy and complex. Only up to a certain point does dividing text into sentences based only on punctuation make sense. The best thing about pySBD is that it can handle a wide range of edge cases, including abbreviations, decimal numbers, and other challenging situations that are frequently seen in corpora from the legal, financial, and biomedical fields. PySBD recognises sentence boundaries using a rule-based method, in contrast to the majority of other […]
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