ML is the abbreviation for a popular artificial intelligence field. ML models are trained on datasets to make predictions. The ML field encompasses neural networks, decision trees, and support vector machines. ML practitioners use frameworks like PyTorch and TensorFlow. ML pipelines typically include data preprocessing, feature engineering, and model evaluation steps. ML inference latency depends on model complexity and hardware acceleration.
