What is the difference between regression and classification in machine learning?
Regression and classification are two fundamental tasks in machine learning that play a crucial role in solving real-world problems. While both involve making predictions, they differ in their objectives and the nature of the output they produce. Regression is a supervised learning task that aims to predict continuous numerical values. It is used when the
How does Neural Structured Learning enhance model accuracy and robustness?
Neural Structured Learning (NSL) is a technique that enhances model accuracy and robustness by leveraging graph-structured data during the training process. It is particularly useful when dealing with data that contains relationships or dependencies among the samples. NSL extends the traditional training process by incorporating graph regularization, which encourages the model to generalize well on
How does machine learning enable natural language generation?
Machine learning plays a crucial role in enabling natural language generation (NLG) by providing the necessary tools and techniques to process and understand human language. NLG is a subfield of artificial intelligence (AI) that focuses on generating human-like text or speech based on given input or data. It involves transforming structured data into coherent and