Read Hands-On Machine Learning with Azure: Build powerful models with cognitive machine learning and artificial intelligence

Hands-On Machine Learning with Azure: Build powerful models with cognitive machine learning and artificial intelligence

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Description:Implement machine learning, cognitive services, and artificial intelligence solutions by leveraging Azure cloud technologies Key Features Learn advanced concepts in Azure ML services and the Cortana Intelligence Suite architecture Explore complex data in the cloud Perform predictive analytics and sentiment analysis by adding predictive and cognitive insights to your models Book Description Machine learning (ML) and Artificial Intelligence (AI) in the cloud has not been possible due to the lack of processing power and storage. Azure created ML and AI services that are easy to implement. Hands-On Machine Learning with Azure teaches you how advanced ML can be performed in the cloud in a cost-effective way.The book begins by showing you the benefits of the cloud for ML and AI. You will then explore Microsoft’s Team Data Science Process to establish a repeatable process for successful AI development and implementation. You will get an understanding of AI technologies available in Azure and the Cognitive Services APIs to integrate them into Bot applications. You’ll explore prebuilt templates with Azure Machine Learning Studio and build a model using canned algorithms and deploy it as a web service. The book then walks you through a preconfigured series of virtual machines in Azure targeted at AI development scenarios. You will get to grips with the ML server and its capabilities in SQL and HDInsight. In the concluding chapters, you’ll learn to integrate patterns with other non-AI services in Azure.By the end of this book, you will be all ready to implement ML and AI concepts in your models. What You Will Learn Learn the benefits of leveraging the cloud for ML and AI Use Cognitive Services APIs to build intelligent bots Build a model using canned algorithms from Microsoft and deploy a model as a web service Deploy virtual machines in AI development scenarios Leverage R, Python, SQL Server, and Spark in Azure Build and deploy deep learning solutions with CNTK, MMLSpark, and TensorFlow Implement model retraining in IoT, Streaming, and Blockchain solutions Explore best practices for integrating with functions, ADLA, and logic apps Who This Book Is For Hands-On Machine Learning with Azure is for data scientists and developers who are familiar with Azure ML and cognitive services and now want to create advanced models and make sense of data in the cloud. If you want to bring powerful machine learning services into your cloud applications, this is the book for you. Some experience with data manipulation and processing, using languages like SQL, Python, and R is required. About the Author Ryan Murphy, one of the key Co-authors of Stream Analytics with Microsoft Azure is a Solution Architect living in Saint Louis, Missouri. He has been building and innovating with data for nearly twenty years, including extensive work in the gaming and agriculture industries. Currently, Ryan is helping some of the world’s largest organizations modernize their business with data solutions powered by the Microsoft Azure cloud.Thomas K. Abraham Ph.D., is a Data Scientist/Solution architect living in the Saint Louis, Missouri area.Parashar Shah, is a Senior Product/Program Manager living in Seattle, Washington. Currently, Parashar is helping make Azure Machine Learning exciting to use by professional data scientists.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Hands-On Machine Learning with Azure: Build powerful models with cognitive machine learning and artificial intelligence. To get started finding Hands-On Machine Learning with Azure: Build powerful models with cognitive machine learning and artificial intelligence, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.

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ISBN: 1789130271

Description: Implement machine learning, cognitive services, and artificial intelligence solutions by leveraging Azure cloud technologies Key Features Learn advanced concepts in Azure ML services and the Cortana Intelligence Suite architecture Explore complex data in the cloud Perform predictive analytics and sentiment analysis by adding predictive and cognitive insights to your models Book Description Machine learning (ML) and Artificial Intelligence (AI) in the cloud has not been possible due to the lack of processing power and storage. Azure created ML and AI services that are easy to implement. Hands-On Machine Learning with Azure teaches you how advanced ML can be performed in the cloud in a cost-effective way.The book begins by showing you the benefits of the cloud for ML and AI. You will then explore Microsoft’s Team Data Science Process to establish a repeatable process for successful AI development and implementation. You will get an understanding of AI technologies available in Azure and the Cognitive Services APIs to integrate them into Bot applications. You’ll explore prebuilt templates with Azure Machine Learning Studio and build a model using canned algorithms and deploy it as a web service. The book then walks you through a preconfigured series of virtual machines in Azure targeted at AI development scenarios. You will get to grips with the ML server and its capabilities in SQL and HDInsight. In the concluding chapters, you’ll learn to integrate patterns with other non-AI services in Azure.By the end of this book, you will be all ready to implement ML and AI concepts in your models. What You Will Learn Learn the benefits of leveraging the cloud for ML and AI Use Cognitive Services APIs to build intelligent bots Build a model using canned algorithms from Microsoft and deploy a model as a web service Deploy virtual machines in AI development scenarios Leverage R, Python, SQL Server, and Spark in Azure Build and deploy deep learning solutions with CNTK, MMLSpark, and TensorFlow Implement model retraining in IoT, Streaming, and Blockchain solutions Explore best practices for integrating with functions, ADLA, and logic apps Who This Book Is For Hands-On Machine Learning with Azure is for data scientists and developers who are familiar with Azure ML and cognitive services and now want to create advanced models and make sense of data in the cloud. If you want to bring powerful machine learning services into your cloud applications, this is the book for you. Some experience with data manipulation and processing, using languages like SQL, Python, and R is required. About the Author Ryan Murphy, one of the key Co-authors of Stream Analytics with Microsoft Azure is a Solution Architect living in Saint Louis, Missouri. He has been building and innovating with data for nearly twenty years, including extensive work in the gaming and agriculture industries. Currently, Ryan is helping some of the world’s largest organizations modernize their business with data solutions powered by the Microsoft Azure cloud.Thomas K. Abraham Ph.D., is a Data Scientist/Solution architect living in the Saint Louis, Missouri area.Parashar Shah, is a Senior Product/Program Manager living in Seattle, Washington. Currently, Parashar is helping make Azure Machine Learning exciting to use by professional data scientists.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Hands-On Machine Learning with Azure: Build powerful models with cognitive machine learning and artificial intelligence. To get started finding Hands-On Machine Learning with Azure: Build powerful models with cognitive machine learning and artificial intelligence, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.

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Hands-On Machine Learning with Azure: Build powerful models with cognitive machine learning and artificial intelligence

Hands-On Machine Learning with Azure: Build powerful models with cognitive machine learning and artificial intelligence

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