If you’ve read about how neural networks are trained, you’ve almost certainly come across the term “gradient descent” before. Gradient...
Deep learning systems are able to learn extremely complex patterns, and they accomplish this by adjusting their weights. How are the weights of a deep neural...
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 of machine...
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...
“Big Data” is one of the commonly used buzz words of our current era, but what does it really mean? Here’s a quick, simple definition of...
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...
Computer vision algorithms are one of the most transformative and powerful AI systems in the world, at the moment. Computer vision systems see use in autonomous...
Many of the biggest advances in AI are driven by artificial neural networks. Artificial Neural Networks (ANNs) are the connection of mathematical functions joined together in...
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...
Natural Language Processing (NLP) is the study and application of techniques and tools that enable computers to process, analyze, interpret, and reason about human language. NLP...
When practicing machine learning, training a model can take a long time. Creating a model architecture from scratch, training the model, and then tweaking the model...
A decision tree is a useful machine learning algorithm used for both regression and classification tasks. The name “decision tree” comes from the fact that the...
Put simply, reinforcement learning is a machine learning technique that involves training an artificial intelligence agent through the repetition of actions and associated rewards. A reinforcement...
Deep learning is one of the most influential and fastest growing fields in artificial intelligence. However, getting an intuitive understanding of deep learning can be difficult...
