Machine Learning, Data Science, and AI Engineering with Python Build real world ML pipelines, deploy LLM in production, and scale AI applications with Python ／Frank Kane/Gabriel Preda （Packt Publishing）

作品スペック

Build complete machine learning and AI solutions with Python, from modeling and LLMs to deployment and MLOps. Free with your book: PDF Copy, AI Assistant, and Next-Gen Reader Key FeaturesBuild AI systems from data prep to LLM deploymentLearn RAG pipelines, Context engineering, Agentic AI, and real MLOps toolsApply each concept using practical Python projectsBook DescriptionMachine Learning, Data Science, and AI Engineering with Python teaches you how to build and ship production-ready AI systems. Starting from core concepts in machine learning, data science, and Python tooling, you’ll move through deep learning, Transformers, and large language models to master advanced tools like retrieval-augmented generation (RAG), LLM agents, and responsible AI workflows. With each chapter building toward a complete machine learning pipeline, you’ll gain hands-on experience with tools like PyTorch, MLflow, DVC, and FastAPI. You'll also explore key production skills such as model versioning, A/B tes

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