Machine Learning Support Vector Machine (SVM) in Machine Learning By admin What is Machine Learning? A computer’s ability to learn from data without explicit programming is called machine learning. It works like this: The machine learns from the existing data and predicts or makes decisions about future data. Your data set must...
Machine Learning Regularization in Machine Learning By admin What is Regularization? Regularization is one of the most important concepts of machine learning. It is a technique to prevent the model from overfitting by adding extra information to it. Sometimes the machine learning model performs well with the training...
Machine Learning Understanding Confusion Matrix By admin A confusion matrix is a table that is often used to describe the performance of a classification algorithm, such as a machine learning model. Each row of the matrix represents the instances in a predicted class, while each column represents...
Business Intelligence Brain Machine Interface By admin Brain Machine Interface Brain Machine Interface (BMI) is a domain concerning recording, interfacing and interpretation of the electroencephalogram. Electroencephalogram (EEG) is a record of the electric signal generated by the cooperative action of brain cells, or more precisely, the...