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Introducing MLOps How to Scale Machine Learning in the Enterprise

More than half of the analytics and machine learning (ML) models created by organizations today never make it into production. Some of the;

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Beginning MLOps with MLFlow

begin by introducing you to basic data analysis on a credit card data set and teach you how to analyze the features and their relationships to;

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Learn TensorFlow Enterprise

TensorFlow Enterprise Discover how to accelerate the machine learning development life cycle using enterprise-grade services Manage Google's cloud;

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Oracle Business Intelligence with Machine Learning

Master the fundamentals of machine learning and how it pertains to BI and advanced analytics Gain an introduction to Oracle R Enterprise;

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Mastering Azure Machine Learning

models using Azure and end-to-end ML pipelines on the cloud. The book starts with an overview of an end-to-end ML project and a guide on how to;

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Kubeflow in Action

learning training and complex data pipelines. about the book Kubeflow in Action shows you how to utilize Kubeflow to rapidly scale machine;

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Data Science Solutions on Azure

Databricks and learn how to deploy, create and manage the same. In the final chapters you'll go through machine learning operations in Azure followed;

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Deploy Machine Learning Models to Production

learning models. The book also illustrates how to build and train machine learning and deep learning models at scale using Kubernetes. The book;

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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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Data Science Solutions on Azure

Databricks and learn how to deploy, create and manage the same. In the final chapters you'll go through machine learning operations in Azure;

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Introducing Machine Learning

Introducing Machine Learning delivers practical knowledge to make the most of them. Dino and Francesco Esposito start with a quick overview of the;

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Enterprise Artificial Intelligence Transformation

is quickly infiltrating our daily lives. AI has the ability to transform simple tasks into technological feats at a human level. This will change the;

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Mahout in Action

applications. DESCRIPTION To benefit from prior experience in the use of a website, machine learning techniques are increasingly used;

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Python

. In the first module, Python Machine Learning Cookbook, you will learn how to perform various machine learning tasks using a wide variety;

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Machine Learning and Cognition in Enterprises

Learn about the emergence and evolution of IT in the enterprise, see how machine learning is transforming business intelligence, and;

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Quantum Machine Learning

learning method. Such algorithms typically require one to encode the given classical dataset into a quantum computer, so as to make it accessible;

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Distributed Machine Learning and Gradient Optimization

implementations, the book introduces three essential techniques in designing a gradient optimization algorithm to train a distributed 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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Automated Machine Learning

explore the features of cloud AutoML platforms by building machine learning models using AutoML. The book will also show you how to develop;

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Machine Learning Systems

monitoring. Reactive Machine Learning Systems teaches readers how to implement reactive design solutions in their machine learning systems;

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Machine Learning Engineering with MLflow

MLflow in the AutoML, anomaly detection, and deep learning context with the help of use cases. In addition to this, you will understand how to;

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Quantum Machine Learning with Python

Quickly scale up to Quantum computing and Quantum machine learning foundations and related mathematics and expose them to different use;

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Machine Learning and Data Science in the Oil and Gas Industry

Machine Learning and Data Science in the Oil and Gas Industry explains how machine learning can be specifically tailored to oil;

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Large-Scale Machine Learning in the Earth Sciences

environmental applications, and Earth scientists to seek collaborations with researchers in machine learning and data mining to advance the frontiers;

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Hands-On Data Science and Python Machine Learning

will also learn how to perform large-scale machine learning on Big Data using Apache Spark. The book covers preparing your data for analysis;

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Transactional Machine Learning with Data Streams and AutoML

Understand how to apply auto machine learning to data streams and create transactional machine learning (TML) solutions that are;

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