Top considerations for building a production-ready AI/ML environment
Top considerations for building a production-ready AI/ML environment
This e-book discusses several technologies for actionable data analysis:-Artificial intelligence involves machines imitating human behavior to perform tasks that typically require human intervention.-Machine learning is a subset of AI that uses algorithms and statistical models to perform tasks without explicit instructions.-Deep learning is a subset of ML that uses layers to progressively extract high-level features from raw input, similar to a human brain. For example, generative AI can create high-quality text, images, and other content based on trained DL models.-Machine learning operations (MLOps) encompasses all of the tools, platforms, and processes needed to create, train, deploy, monitor, and continuously improve AI/ML models for use in cloud-native applications.
