Support Vector Machines are machine learning models that are used to classify data. Let's say you want to build a system that can automatically identify if the input image contains a given object. For ease of understanding, let's limit the discussion to three different types of objects i.e. chair, laptop, and refrigerator. To build this, … Continue reading How To Compute Confidence Measure For SVM Classifiers
Tag: SVM
What’s The Importance Of Hyperparameters In Machine Learning?
Machine learning is becoming increasingly relevant in all walks of science and technology. In fact, it’s an integral part of many fields like computer vision, natural language processing, robotics, e-commerce, spam filtering, and so on. The list is potential applications is pretty huge! People working on machine learning tend to build models based on training data, … Continue reading What’s The Importance Of Hyperparameters In Machine Learning?
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
Kernel Functions For Machine Learning
You must have heard the term 'kernel' floating around quite a few times. People from many different backgrounds use it in different contexts. The thing is that this term has been applied to different things in different domains. When we talk about operating systems, we talk about which kernel is being used. Kernel is also … Continue reading Kernel Functions For Machine Learning
Support Vector Machines
In machine learning, we have supervised learning on one end and unsupervised learning on the other end. Support Vector Machines (SVMs) are supervised learning models used to analyze and classify data. We use machine learning algorithms to train the machines. Once we have a model, we can classify unknown data. Let's say you have a … Continue reading Support Vector Machines
Perpetual Enigma 