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Advanced Azure Machine Learning-P2P

The increase in data needs distributed systems, powerful algorithms, and scalable cloud infrastructure to compute insights and train and deploy models. This book will help you improve your knowledge of building machine learning (ML) models using Azure and end-to-end ML pipelines on the cloud.

The book starts with Azure Data Science Virtual Machines, Azure Notebooks, and Azure Machine Learning services, and takes you through the data experimentation process. You’ll then perform and schedule data loading and preparation techniques using Azure Databricks and Azure Data Factory. You’ll learn feature extraction using natural language processing (NLP), classical machine learning techniques such as ensemble learning, and time-series forecasting using a range of deep learning methods. You’ll also explore how to train, optimize, and tune models using Azure AutoML and HyperDrive, and perform distributed training using Azure Machine Learning Compute (AmlCompute). Next, you’ll learn different monitoring and optimization techniques to measure training performance in Spark using Azure Databricks. Lastly, you’ll cover model deployment to Kubernetes with Azure Machine Learning services.

Advanced Azure Machine Learning-P2P
English | April 2020 | ISBN: 9781789807554 | 337 Pages | True (PDF, EPUB, MOBI) | 67 MB
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    Advanced Azure Machine Learning-P2P
    English | April 2020 | ISBN: 9781789807554 | 337 Pages | True (PDF, EPUB, MOBI) | 67 MB

    http://katfile.com/7433a1hbvsph/Mastering_Azure_Machine_Learning.rar.html

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