Sequence Modeling
Sequence modeling is a machine learning approach focused on processing and generating sequences of data, such as time series, text, audio, or video. It involves techniques that capture dependencies and patterns in ordered data, enabling tasks like prediction, classification, and generation. This concept is fundamental in fields like natural language processing, speech recognition, and financial forecasting.
Developers should learn sequence modeling when working with sequential data, such as in natural language processing for tasks like machine translation or text generation, or in time-series analysis for stock price prediction. It is essential for building applications that require understanding context over time, like chatbots, recommendation systems, or anomaly detection in sensor data.