Kirk Borne

Machine Learning Engineering with Python — Manage the lifecycle of machine learning models using MLOps with practical examples: https://t.co/OcxepDoRoU 𝓚𝓮𝔂 𝓕𝓮𝓪𝓽𝓾𝓻𝓮𝓼: 🟢Transform your machine learning projects into successful deployments with this practical guide on how to build and scale solutions that solve real-world problems 🔵[2nd edition] Includes a new chapter on generative AI and large language models (LLMs) and building a pipeline that leverages LLMs using LangChain 🟢Delve deep into key machine learning topics, CI/CD, and system design 🔵Explore core MLOps practices, such as model management and performance monitoring 🟢Build end-to-end examples of deployable ML microservices and pipelines using AWS and open-source tools