Getting your models into production is the fundamental challenge of machine learning. MLOps offers a set of proven principles aimed at solving this problem in a reliable and automated way. This insightful guide takes you through what MLOps is and how it differs from De... Lees meer.

Bew hrte Praxisl sungen f r komplexe Machine-Learning-Aufgaben Behandelt alle Phasen der ML-Produktpipeline Klar strukturierter Aufbau. Konzepte und Zusammenh nge erschlie en sich dadurch schnell Fokus auf TensorFlow aber auch bertragbar auf PyTorch-Projekte Die De... Lees meer.

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Own your MLOps Risk with your MLOps resource. Be your own consultant. Your MLOps risk becomes your reward with this book and its accompanying digital resources. Cultivate an in-house knowledge base with the self-assessment that cuts out expensive consultants and gives... Lees meer.

This book is aimed at practitioners of data science with consideration for bespoke problems standards and tech stacks between industries. It will guide you through the fundamentals of technical decision making including planning building optimizing packaging and... Lees meer.

Understand and learn the skills needed to use modern tools in Microsoft Azure. This book discusses how to practically apply these tools in the industry and help drive the transformation of organizations into a knowledge and data-driven entity. It provides an end-to-en... Lees meer.

With demand for scaling real-time access and other capabilities businesses need to consider building operational machine learning pipelines. This practical guide helps your company bring data science to life for different real-world MLOps scenarios. Senior data scien... Lees meer.

An insightful journey to MLOps DevOps and Machine Learning in the real environment. KEY FEATURES Extensive knowledge and concept explanation of Kubernetes components with examples. An all-in-one knowledge guide to train and deploy ML pipelines using Docker and Kub... Lees meer.

Transform your machine learning projects into successful deployments with this practical guide on how to build and scale solutions that solve real-world problems Includes a new chapter on generative AI and large language models LLMs and building a pipeline that levera... Lees meer.

This book is aimed at practitioners of data science with consideration for bespoke problems standards and tech stacks between industries. It will guide you through the fundamentals of technical decision making including planning building optimizing packaging and... Lees meer.

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Continuous Machine Learning with Kubeflow introduces you to the modern machine learning infrastructure which includes Kubernetes and the Kubeflow architecture. This book will explain the fundamentals of deploying various AI ML use cases with TensorFlow training and s... Lees meer.

Get to grips with ML lifecycle management and MLOps implementation for your organization. This book will give you comprehensive insights into MLOps coupled with real-world examples in Azure that will teach you how to write programs train robust and scalable ML models... Lees meer.

Integrate MLOps principles into existing or future projects using MLFlow operationalize your models and deploy them in AWS SageMaker Google Cloud and Microsoft Azure. This book guides you through the process of data analysis model construction and training. The a... Lees meer.

An end-to-end framework for developing Large Language Model LLM -based applications Traditionally there has been a divide between data scientists and software engineers. With the advent of LLMs however this has changed. Machine learning is no longer primarily a too... Lees meer.