What is K-Nearest Neighbors (KNN)?K-Nearest Neighbors is a machine learning technique and algorithm that can be used for both regression and classification tasks. K-Nearest Neighbors examines...
What is Linear Regression?Linear regression is an algorithm used to predict, or visualize, a relationship between two different features/variables. In linear regression tasks, there are two...
What are Support Vector Machines?Support vector machines are a type of machine learning classifier, arguably one of the most popular kinds of classifiers. Support vector machines...
What is Overfitting?When you train a neural network, you have to avoid overfitting. Overfitting is an issue within machine learning and statistics where a model learns...
What is a Gradient Descent?If you’ve read about how neural networks are trained, you’ve almost certainly come across the term “gradient descent” before. Gradient descent is...
What is Backpropagation?Deep learning systems are able to learn extremely complex patterns, and they accomplish this by adjusting their weights. How are the weights of a...
What is Meta-Learning?One of the fastest-growing areas of research in machine learning is the area of meta-learning. Meta-learning, in the machine learning context, is the use...
Perhaps you’ve wondered how Facebook or Instagram is able to automatically recognize faces in an image, or how Google lets you search the web for similar...
One of the most powerful analytical tools in machine learning and data science in the confusion matrix. The confusion matrix is capable of giving the researchers...
What is Computer Vision?Computer vision algorithms are one of the most transformative and powerful AI systems in the world, at the moment. Computer vision systems see...
What are Artificial Neural Networks (ANNs)?Many of the biggest advances in AI are driven by artificial neural networks. Artificial Neural Networks (ANNs) are the connection of...
In machine learning, most tasks can be easily categorized into one of two different classes: supervised learning problems or unsupervised learning problems. In supervised learning, data...
Unstructured data is data that isn’t organized in a pre-defined fashion or lacks a specific data model. Meanwhile, structured data is data that has clear, definable...
What is Transfer Learning?When practicing machine learning, training a model can take a long time. Creating a model architecture from scratch, training the model, and then...
What is a Decision Tree?A decision tree is a useful machine learning algorithm used for both regression and classification tasks. The name “decision tree” comes from...
