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: Artificial Intelligence
Dissecting Bias vs. Variance Tradeoff In Machine Learning
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
Autoencoders In Machine Learning
When we talk about deep neural networks, we tend to focus on feature learning. Traditionally, in the field of machine learning, people use hand-crafted features. What this means is that we look at the data and build a feature vector which we think would be good and discriminative. Once we have that, we train a model … Continue reading Autoencoders In Machine Learning
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?
Image Classification Using Fisher Vectors
This is a continuation of my previous blog post on image classification and the bag of words (BoW) model. If you already know how BoW works, then you will feel right at home. If you need a refresher, you can read the blog post here. In our previous post, we discussed how BoW works, and … Continue reading Image Classification Using Fisher Vectors
Image Classification Using Bag-Of-Words Model
Image classification is one of the classical problems in computer vision. Basically, the goal is to determine whether or not the given image contains a particular thing like an object or a person. Humans tend to classify images effortlessly, but machines seem to have a hard time doing this. Computer Vision has achieved some success in … Continue reading Image Classification Using Bag-Of-Words Model
Recognizing Shapes Using Point Distribution Models
In the field of computer vision, we often come across situations where we need to recognize the shapes of different objects. Not only that, we also need our machines to understand the shapes so that we can identify them even if we encounter them in different forms. Humans are really good at these things. We somehow … Continue reading Recognizing Shapes Using Point Distribution Models
What Is AdaBoost?
AdaBoost is short for Adaptive Boosting. It is basically a machine learning algorithm that is used as a classifier. Whenever you have a large amount of data and you want divide it into different categories, we need a good classification algorithm to do it. We usually use AdaBoost in conjunction with other learning algorithms to improve … Continue reading What Is AdaBoost?
What Is Metaprogramming? – Part 2/2
This is a continuation of my previous blog post on metaprogramming. In the previous post, we saw why we need metaprogramming. In this post, we will see what exactly this whole metaprogramming is all about. In the world of programming, the basic problem is that any general-purpose programming language is that it has its own … Continue reading What Is Metaprogramming? – Part 2/2
What Is Metaprogramming? – Part 1/2
You know how people talk about creating machines that can create more machines by themselves? Well, we already have machines that can create other machines. The concept of metaprogramming is just the technical side of it. Metaprogramming is the process of writing programs that can create other programs. It is one of the most underused programming … Continue reading What Is Metaprogramming? – Part 1/2
