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Kubeflow for Machine Learning From Lab to Production

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;

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Kubeflow in Action

production deployments Kubeflow in Action is an authoritative hands-on guide to deploying machine learning to production using the;

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Kubeflow Operations Guide Managing Cloud and OnPremise Deployment

orchestrates workflows by managing machine learning pipelines. You'll learn how to plan and execute a Kubeflow platform that can support workflows from;

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Building Machine Learning Pipelines Automating Model Life Cycles with Tensorflow

these projects. Understand the steps to build a machine learning pipeline Build your pipeline using components from TensorFlow Extended;

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Machine Learning and Security

your machine learning algorithms from the lab to production Understand the threat attackers pose to machine learning solutions;

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Deep Learning with TensorFlow 2 and Keras

Build machine and deep learning systems with the newly released TensorFlow 2 and Keras for the lab, production, and mobile devices Key;

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Deploy Machine Learning Models to Production

Build and deploy machine learning and deep learning models in production with end-to-end examples. This book begins with a focus on the;

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TensorFlow Machine Learning Cookbook

learning, this book is for you. If you want to skip the theory and build production-ready machine learning models using Tensorflow without reading;

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Data Engineeringon Azure

from the lab into production, you need confidence that it can stand up to real-world challenges. This book teaches you to design and implement;

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Machine Learning in the Oil and Gas Industry

to a survey of some interesting problems, which are good candidates for applying machine and deep learning approaches. The initial chapters;

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Machine Learning in the Oil and Gas Industry

to a survey of some interesting problems, which are good candidates for applying machine and deep learning approaches. The initial chapters;

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Apparel Quality

product in conjunction with another apparel quality textbook. With more than 30 hands-on lab activities and projects to enhance learning, the lab;

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Hands-On Machine Learning with scikit-learn and Scientific Python Toolkits

for classification and regression Build, evaluate, and deploy your machine learning solutions to production Who this book is forThis book;

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Machine Learning Using TensorFlow Cookbook

. With the help of this book, you will be proficient in using TensorFlow, understand deep learning from the basics, and be able to implement;

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Signals, Instrumentation, Control, And Machine Learning

This book stems from a unique and a highly effective approach to introducing signal processing, instrumentation, diagnostics, filtering;

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Signals, Instrumentation, Control, And Machine Learning

This book stems from a unique and a highly effective approach to introducing signal processing, instrumentation, diagnostics, filtering;

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Machine Learning Engineering with Python

with building and deploying robust machine learning solutions. As you advance, you'll explore how to create your own toolsets for training and;

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Machine Learning Guide for Oil and Gas Using Python

as well testing, shale reservoirs and production optimization. Petroleum engineers are quickly applying machine learning techniques to their;

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Machine Learning with Microsoft Technologies

Create and manage Microsoft's tool environments for development, testing, and production of a machine learning project Implement and deploy;

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Machine Learning with Microsoft Technologies

machine learning solution Create and manage Microsoft's tool environments for development, testing, and production of a machine learning;

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Learn TensorFlow 2.0

Learn how to use TensorFlow 2.0 to build machine learning and deep learning models with complete examples. The book begins with;

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Learn TensorFlow 2.0

Learn how to use TensorFlow 2.0 to build machine learning and deep learning models with complete examples. The book begins with introducing;

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Cognitive Computing Recipes

including TensowFlow and CNTK to give you a broader perspective of the deep learning ecosystem. What You Will Learn Build production-ready solutions;

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Machine Learning Engineering with MLflow

Explore machine learning workflows for stating ML problems in a concise and clear manner using MLflow Use MLflow to iteratively develop a ML;

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Machine Learning with the Elastic Stack

proactive alerting Train and deploy supervised machine learning models for real-time inference Discover various tips and tricks to get the most;

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Deep In-memory Architectures for Machine Learning

-latency-accuracy trade-offs. From first principles to lab prototypes, this book provides a comprehensive view of this emerging topic for both the;

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Einde inhoud

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