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Effective Amazon Machine Learning

teach beginner- to advanced-level machine learning practitioners how to leverage Amazon Machine Learning and complement their existing Data;

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Amazon SageMaker Developer Guide

Amazon SageMaker is a fully managed machine learning service. With Amazon SageMaker, data scientists and developers can quickly and easily;

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Machine Learning in the AWS Cloud

Cloud introduces readers to the machine learning (ML) capabilities of the Amazon Web Services ecosystem and provides practical examples to solve;

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Hands-On Artificial Intelligence on Amazon Web Services

Perform cloud-based machine learning and deep learning using Amazon Web Services such as SageMaker, Lex, Comprehend, Translate, and Polly;

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Learn Amazon SageMaker

Quickly build and deploy machine learning models without managing infrastructure, and improve productivity using Amazon SageMaker's;

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Learn Amazon SageMaker

Swiftly build and deploy machine learning models without managing infrastructure and boost productivity using the latest Amazon SageMaker;

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Data Science on AWS

Amazon Web Services. The Amazon AI and machine learning stack unifies data science, data engineering, and application development to help level;

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Machine Learning with Amazon SageMaker Cookbook

A step-by-step solution-based guide to preparing building, training, and deploying high-quality machine learning models with Amazon;

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Building Machine Learning Systems with Python

Get more from your data by creating practical machine learning systems with Python Key Features Develop your own Python-based machine;

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Practical Java Machine Learning

Build machine learning (ML) solutions for Java development. This book shows you that when designing ML apps, data is the key driver and;

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Reinforcement and Systemic Machine Learning for Decision Making

Reinforcement and Systemic Machine Learning for Decision Making explores a newer and growing avenue of machine learning algorithm in the;

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Mastering Machine Learning with R -

Master machine learning techniques with R to deliver insights in complex projects About This Book * Understand and apply machine;

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Machine Learning with scikit-learn Quick Start Guide

Deploy supervised and unsupervised machine learning algorithms using scikit-learn to perform classification, regression, and clustering;

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Building Machine Learning Systems With Python

This book primarily targets Python developers who want to learn and use Python's machine learning capabilities and gain valuable insights;

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Human-in-the-Loop Machine Learning

Annotation, Active Learning, and machine learning systems with machine learning-focused startups and with larger companies including Amazon, Google;

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Deep Learning for Personalized Healthcare Services

learning algorithms, enabling the healthcare industry to develop meaningful and cost-effective services. This requires effective understanding;

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Python

Learn to solve challenging data science problems by building powerful machine learning models using Python About This Book * Understand;

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AWS Certified Machine Learning Specialty: MLS-C01 Certification Guide

and deploy machine learning models to the Amazon Web Services (AWS) cloud Learn all about the AWS services available for machine learning;

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Machine Learning for Business

. Using Amazon SageMaker (no installation required!), you'll build and deploy machine learning applications as you practice takeaway skills you'll;

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Big Data and Machine Learning in Quantitative Investment

Get to know the 'why' and 'how' of machine learning and big data in quantitative investment Big Data and Machine Learning;

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Graph-Powered Machine Learning

At its core, machine learning is about efficiently identifying patterns and relationships in data. Many tasks, such as finding associations;

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R Machine Learning Essentials

If you want to learn how to develop effective machine learning solutions to your business problems in R, this book is for you. It would be;

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Distributed Machine Learning and Gradient Optimization

This book presents the state of the art in distributed machine learning algorithms that are based on gradient optimization methods. In the;

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Machine Learning with Scala Quick Start Guide

Supervised and unsupervised machine learning made easy in Scala with this quick-start guide. Key Features Construct and deploy machine;

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Metalearning

learning and data mining processes. While the variety of machine learning and data mining techniques now available can, in principle, provide good;

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Machine Learning with Spark -

Create scalable machine learning applications to power a modern data-driven business using Spark 2.x About This Book * Get to the;

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Kubeflow Operations Guide Managing Cloud and OnPremise Deployment

Building models is a small part of the story when it comes to deploying machine learning applications. The entire process involves;

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