SVM

Hyperparameter Optimization and Tuning

March 28, 2022March 28, 2022AI, ML, AI and Data Engineering, python, python, Tech BlogsAI, SVM

Reading Time: 3 minutes A Machine Learning model is defined as a mathematical model with a number of parameters that need to be learned from the data. By training a model with existing data, we are able to fit the model parameters.However, there is another kind of parameters, known as Hyperparameters. Hyperparameters contain the data that govern the training process itself These parameters express important properties of the model such Continue Reading

MachineX: Choosing Support Vector Machine over other classifiers

April 14, 2018Artificial intelligence, ML, AI and Data Engineering, Studio-ScalaAI, Artificial intelligence, Machine Learning, MachineX, Support Vector Machine, SVM

Reading Time: 4 minutes When one has to select the best classifier from all the good options, often he would be on the horns of a dilemma. Decision tree/Random Forest, ANN, KNN, Logistic regression etc. are some options that often used for the choice of classification. Every one of it has its pros and cons and when to select the best one the probably the most important thing to Continue Reading