[Pdf Read] Hands–On Machine Learning with Azure Author Ryan_Murphy
S 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 #advanced models and make sense of data in the cloud If you want to bring powerful machine services into your cloud applications this is the book for you Some experience with data manipulation and processing using languages like SL Python and R is reuired 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 the key Co authors of Stream Analytics with Microsoft Azure is a Solution Architect living in Saint Louis Missouri as been building and innovating with data for nearly twenty years including extensive work in the gaming and agriculture industries Currently Ryan is Manual Of Ready Reference To Classic Fiction helping some of the world’s largest organizations modernize their business with data solutions powered by the Microsoft Azure cloudThomas K Abraham PhD is a Data ScientistSolution architect living in the Saint Louis Missouri areaParashar Shah is a Senior ProductProgram Manager living in Seattle Washington Currently Parashar iselping make Azure Machine Learning exciting to use by professional data scientists. 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 as 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 "with Azure teaches you advanced ML can be performed in the cloud in a cost effective wayThe book begins by showing you the benefits
Of The Cloud For ML the cloud for ML 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 wi.
Read Hands-On Machine Learning with AzureTh 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 SL and HDInsight In the concluding chapters you’ll learn to integrate patterns withand its capabilities in SL
HDInsight In concluding chapters you’ll learn to integrate patterns with non AI services in AzureBy 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 SL 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 Azureand dinsight in