Continuous Machine Learning with Kubeflow

Continuous Machine Learning with Kubeflo

📁 Continuous Machine Learning with Kubeflow: Performing Reliable MLOps with Capabilities of TFX, Sagemaker and Kubernetes (English Edition)

✍ Aniruddha Choudhury 📂 Library 📅 2021 🏛 BPB Publications 🌐 English

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-on

Continuous Machine Learning with Kubeflo

📁 Continuous Machine Learning with Kubeflow: Performing Reliable MLOps with Capabilities of TFX, Sagemaker and Kubernetes (English Edition)

✍ Aniruddha Choudhury 📂 Library 📅 2021 🏛 BPB Publications 🌐 English

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-on

Kubeflow for Machine Learning: From Lab

📁 Kubeflow for Machine Learning: From Lab to Production

✍ Trevor Grant, Holden Karau, Boris Lublinsky, Richard Liu, Ilan Filonenko 📂 Library 📅 2020 🏛 O'Reilly Media 🌐 English

<div>If you're training a machine learning model but aren't sure how to put it into production, this book will get you there. Kubeflow provides a collection of cloud native tools for different stages of a model's lifecycle, from data exploration, feature preparation, and model training to model s

Kubeflow for Machine Learning: From Lab

📁 Kubeflow for Machine Learning: From Lab to Production

✍ Trevor Grant, Holden Karau, Boris Lublinsky, Richard Liu, Ilan Filonenko 📂 Library 📅 2020 🏛 O'Reilly Media 🌐 English

If you're training a machine learning model but aren't sure how to put it into production, this book will get you there. Kubeflow provides a collection of cloud native tools for different stages of a model's lifecycle, from data exploration, feature preparation, and model training to model serving.

Kubeflow for Machine Learning: From Lab

📁 Kubeflow for Machine Learning: From Lab to Production

✍ Trevor Grant, Holden Karau, Boris Lublinsky, Richard Liu, Ilan Filonenko 📂 Library 📅 2020 🏛 O'Reilly Media 🌐 English

If you're training a machine learning model but aren't sure how to put it into production, this book will get you there. Kubeflow provides a collection of cloud native tools for different stages of a model's lifecycle, from data exploration, feature preparation, and model training to model serving.

Building Recommender Systems with Machin

📁 Building Recommender Systems with Machine Learning and AI: Help people discover new products and content with deep learning, neural networks, and machine learning recommendations.

✍ Frank Kane 📂 Library 📅 2021 🏛 Sundog Education 🌐 English

Learn how to build recommender systems from one of Amazon's pioneers in the field. Frank Kane spent over nine years at Amazon, where he managed and led the development of many of Amazon's personalized product recommendation technologies. This updated second edition covers the latest developments in