Emotion AI decodes emotions via faces, voice, and text. From digital health to chatbots, it’s reshaping interactions—accuracy & bias challenges included!
Explore Bayesian networks: probabilistic models for reasoning under uncertainty. Learn their tasks, AI applications, and how they differ from machine learning!
Explore autoregressive models for predicting future values from past data. Learn about AR(p), ARMA, ARIMA, and their use in AI, NLP, and time series analysis.
Learn about training data, its types, and its crucial role in machine learning. Discover the differences between training and testing data, and the importance of data quality for model performance.
