The Machine Learning Solutions Architect Handbook - Second Edition: Practical strategies and best practices on the ML lifecycle, system design, MLOps, and generative AI

Key Features

• Go in-depth into the ML lifecycle, from ideation and data management to deployment and scaling
• Apply risk management techniques in the ML lifecycle and design architectural patterns for various ML platforms and solutions
• Understand the generative AI lifecycle, its core technologies, and implement...