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Understanding What is a Transformer in AI
What is a transformer? Transformer refers to a type of neural network architecture that has been highly influential, particularly in natural language processing (NLP) tasks. The key innovation…
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What is a Decision Tree in Machine Learning
Decision Tree A decision tree in machine learning is a popular supervised learning method. It applies to both classification and regression tasks. Decision trees follow a flowchart-like structure.…
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What is a Confusion Matrix in Machine Learning
Confusion matrix Within machine learning (ML), a confusion matrix is a table that evaluates the performance of a classification algorithm. It is particularly useful when you want to…
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Understanding Train Test Split Model Validation
Train Test Split Train-test split model validation is a simple and common technique in machine learning. Simply, it evaluates the performance of a model. The idea is to…
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What is Cross Validation in Machine Learning?
What is Cross Validation? Cross validation is a machine learning (statistical) technique, aiming to evaluate how well a model generalises to unseen (new) data. The basic idea is…
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What is Gradient Descent in Machine Learning?
What is Gradient Descent? Gradient descent is a fundamental optimisation algorithm. It is used in machine learning to minimise a given cost function by iteratively adjusting the parameters…