Q-learning

Random Picks

• Semi-Supervised Learning: Semi-supervised learning is a type of machine learning technique that uses both labeled and unlabeled data to train an algorithm. In this approach, a small amount of labeled data is used to guide the learning process, while a larger amount ... Read More >>
• One-hot Encoding: One-hot encoding is a technique used in data science and machine learning to represent categorical variables as binary vectors. In this technique, each category is represented by a binary vector with a length equal to the number of categori ... Read More >>
• Hard Drives: Hard drives are non-volatile storage devices that store and retrieve digital data using magnetic storage and rotating platters. They are commonly used in computers and other electronic devices to store operating systems, software applicatio ... Read More >>