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...
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 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...
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...
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...
What is Reinforcement Learning? Put simply, reinforcement learning is a machine learning technique that involves training an artificial intelligence agent through the repetition of actions and...
Machine learning is one of the quickest growing technological fields, but despite how often the words “machine learning” are tossed around, it can be difficult to...
