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Mastering Machine Learning On Aws : Advanced Machine Learning In Python Using Sagemaker Apache Spark And Tensorflow at Meripustak

Mastering Machine Learning On Aws : Advanced Machine Learning In Python Using Sagemaker Apache Spark And Tensorflow by Dr. Saket S.R. Mengle , Maximo Gurmendez, Packt Publishing Limited

Books from same Author: Dr. Saket S.R. Mengle , Maximo Gurmendez

Books from same Publisher: Packt Publishing Limited

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  • General Information  
    Author(s)Dr. Saket S.R. Mengle , Maximo Gurmendez
    PublisherPackt Publishing Limited
    ISBN9781789349795
    Pages240
    BindingPaperback
    Language_x000D_English
    Publish YearMay 2019

    Description

    Packt Publishing Limited Mastering Machine Learning On Aws : Advanced Machine Learning In Python Using Sagemaker Apache Spark And Tensorflow by Dr. Saket S.R. Mengle , Maximo Gurmendez

    Gain expertise in ML techniques with AWS to create interactive apps using SageMaker, Apache Spark, and TensorFlow.Key FeaturesBuild machine learning apps on Amazon Web Services AWS using SageMaker, Apache Spark and TensorFlowLearn model optimization, and understand how to scale your models using simple and secure APIsDevelop, train, tune and deploy neural network models to accelerate model performance in the cloudBook DescriptionAWS is constantly driving new innovations that empower data scientists to explore a variety of machine learning ML cloud services. This book is your comprehensive reference for learning and implementing advanced ML algorithms in AWS cloud.As you go through the chapters, youll gain insights into how these algorithms can be trained, tuned and deployed in AWS using Apache Spark on Elastic Map Reduce EMR, SageMaker, and TensorFlow. While you focus on algorithms such as XGBoost, linear models, factorization machines, and deep nets, the book will also provide you with an overview of AWS as well as detailed practical applications that will help you solve real-world problems. Every practical application includes a series of companion notebooks with all the necessary code to run on AWS. In the next few chapters, you will learn to use SageMaker and EMR Notebooks to perform a range of tasks, right from smart analytics, and predictive modeling, through to sentiment analysis. By the end of this book, you will be equipped with the skills you need to effectively handle machine learning projects and implement and evaluate algorithms on AWS.What you will learnManage AI workflows by using AWS cloud to deploy services that feed smart data productsUse SageMaker services to create recommendation modelsScale model training and deployment using Apache Spark on EMRUnderstand how to cluster big data through EMR and seamlessly integrate it with SageMakerBuild deep learning models on AWS using TensorFlow and deploy them as servicesEnhance your apps by combining Apache Spark and Amazon SageMakerWho this book is forThis book is for data scientists, machine learning developers, deep learning enthusiasts and AWS users who want to build advanced models and smart applications on the cloud using AWS and its integration services. Some understanding of machine learning concepts, Python programming and AWS will be beneficial.show more



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