NLP in everyday applications 1.1. It is also interesting to evaluate aspects of human’s life, in which natural language processing is already highly integrated. The most proper and widely used example is complex and exiting idea of combing functionality of search engines with NLP related algorithms, as modern search engines can be described as the main source of information for most of the people…
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Introduction Today, machine learning and deep learning solutions are highly integrated in almost all aspects of people’s lives. Most of those solutions were created to deal with novel, highly specified tasks, while the others, can deal with wide range of problems. Due to this, at some point most of the people have a desire to get familiar with those mechanisms work and understand what is going on…
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flavor wheel So let's start with artificial intelligence. The term artificial intelligence was first coined in the year 1956. The concept is pretty old, but it has gained its popularity recently.But why well, the reason is earlier we had very small amount of data the data we had Was not enough to predict the accurate result, but now there's a tremendous increase in the amount of data statistics…
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chemex T 10. Sales forecasting It a common task performed by many organizations, mostly used in retail and e-commerce sectors. Earlier it used to be involved in a manual intense process of using spreadsheets that require an inputs from various levels of an organization. This approach introduced Bias and was generally not accurate especially during first week of a quarter. But machine learning…
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How do we start For the record, from now on if I say just regression, I am referring to simple linear regression as opposed to multiple regression or models that are not linear, which we will hopefully get to those later. Now regression allows us to model mathematically the relationship between two or more variables, using very simple algebra, to be specific. For now, we'll be working with just…
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