Cleaning, transforming, and standardizing data
Feature engineering, algorithm selection, and model training
Model evaluation and validation
Model deployment and integration: machine learning, natural language processing, computer vision, expert systems, voice and speech recognition, neural networks, recommendation systems and search, predictive analytics
Model monitoring and maintenance