feature selection

MachineX: The second dimensionality reduction method

March 31, 2018Artificial intelligence, ML, AI and Data Engineering, Studio-Scaladimensionality reduction, feature extraction, feature selection, LDA, Machine Learning, PCA

Reading Time: 5 minutes In the previous blog we have gone through how more data or to be precise more dimensions in the data creates different problems like overfitting in classification and regression algorithms. This is known as “curse of dimensionality”. Then we have gone through the solutions to the problem i.e. dimensionality reduction. We were mainly focused on one of the dimensionality reduction method called feature selection. In this Continue Reading

MachineX: When data is a curse to learning

March 29, 2018ML, AI and Data Engineering, Studio-Scaladimensionality reduction, feature extraction, feature selection, Machine Learning

Reading Time: 4 minutes Data and learning are like best friends, perhaps learning is too dependent on data to be called as friends. When data overwhelms, learning acts pricey, so it feels more like a girlfriend-boyfriend sort of a relationship. Well don’t get confused or bothered on how I am comparing the data and learning, it is just my depiction of something called Dimensionality reduction in machine learning. On Continue Reading