Natural Language Processing Text Vectorization Approaches

Introduction It always needs to transform natural language either text or audio into numerical form for Natural Language Processing to work. Text vectorization approaches are very best choices for traditional machine learning algorithms. They can support converting text to numeric feature vectors. For this purpose, some techniques namely Bag of Words and td-idf vectorization are […]

Linear Regression for Machine Learning

Introduction Linear regression is a linear methodology for modeling the relationship between a scalar response and one or more explanatory variables in statistics. The situation of one explanatory variable is called simple linear regression and for more than one, the process is called multiple linear regressions. Description The connections are modeled using linear predictor functions […]

Learning for Structured Prediction

Introduction Structured prediction is the main term for supervised machine learning techniques. Those techniques are involved predicting structured objects, instead of scalar discrete or real values. Structured prediction models are normally trained by means of observed data. In which the true value is used to regulate model parameters similar to usually used supervised learning techniques. […]

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