I was recently working on a machine learning problem when I stumbled upon an interesting question. I wanted to build a machine learning model using a labeled dataset that can classify an unknown image. It's a classic supervised learning problem! I was not exactly sure how the model would turn out, so I had to … Continue reading Dissecting Bias vs. Variance Tradeoff In Machine Learning
Tag: Classifier
Bayes Point Machines
In machine learning, we use a lot of supervised learning models to analyze data and recognize patterns. If we consider the basic problem of binary classification, a machine learning algorithm takes a set of input data and predicts which of two possible classes a particular input belongs to. Kernel-classifiers comprise a powerful class of non-linear … Continue reading Bayes Point Machines
Bayesian Classifier
In machine learning, classification is the process of identifying the category of an unknown input based on the set of categories we already have. A classifier, as the name suggests, classifies things into multiple categories. It is used in various real life situations like face detection, image search, fingerprint recognition, etc. Some of the tasks are … Continue reading Bayesian Classifier
Perpetual Enigma 