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Microsoft Azure Machine Learning
Sumit Mund (Author)
·
Packt Publishing
· Paperback
Microsoft Azure Machine Learning - Sumit Mund
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Origin: Spain
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Wednesday, August 14.
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Synopsis "Microsoft Azure Machine Learning"
Explore predictive analytics using step-by-step tutorials and build models to make prediction in a jiffy with a few mouse clicks About This BookLearn how to build predictive models using a browser such as IEExplore different machine learning algorithms availableWithout any prior knowledge and experience get started with predictive analytics with confidenceWho This Book Is ForThe book is intended for those who want to learn how to use Azure Machine Learning. Perhaps you already know a bit about Machine Learning, but have never used ML Studio in Azure; or perhaps you are an absolute newbie. In either case, this book will get you up-and-running quickly.What You Will Learn Learn to use Azure Machine Learning Studio to visualize and pre-process data Build models and make predictions using data classification, regression, and clustering algorithms Build a basic recommender system Deploy your predictive solution as a Web service API Integrate R and Python code in your model built with ML Studio Explore with more than one case study In DetailThis book provides you with the skills necessary to get started with Azure Machine Learning to build predictive models as quickly as possible, in a very intuitive way, whether you are completely new to predictive analysis or an existing practitioner.The book starts by exploring ML Studio, the browser-based development environment, and explores the first step―data exploration and visualization. You will then build different predictive models using both supervised and unsupervised algorithms, including a simple recommender system. The focus then shifts to learning how to deploy a model to production and publishing it as an API.The book ends with a couple of case studies using all the concepts and skills you have learned throughout the book to solve real-world problems.
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All books in our catalog are Original.
The book is written in English.
The binding of this edition is Paperback.
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