Training Data
Training data refers to the dataset used to train a Machine Learning model, which enables the model to learn patterns and relationships within the data. The quality and quantity of training data have a significant impact on the performance of the model. Data Preprocessing techniques, such as Data Cleaning and Data Transformation, are often applied to the training data to improve its quality. Training data can be categorized into different types, including Supervised Learning data, Unsupervised Learning data, and Reinforcement Learning data. The availability of large amounts of training data has driven the development of many Artificial Intelligence applications, including Image Recognition and Natural Language Processing. Ashish Vaswani and other researchers have highlighted the importance of high-quality training data in achieving state-of-the-art results in these fields.