Predictive Analytics with Microsoft Azure Machine Learning
Predictive Analytics with Microsoft Azure Machine Learning 2nd Edition by Apress
Learn how you’ll be able to quickly build and deploy refined Predictive or you can term it as prognosticative models with the new Azure Machine Learning from Microsoft.
Predictive Analytics with Microsoft Azure Machine Learning. The Second Edition of which is sensed to be a sensible and practical tutorial introduction to the sphere of knowledge of Data science and machine learning. This has its complete attention on building and deploying predictive models. The book provides a radical summary of the Microsoft Azure Machine Learning service which is free and available for general people on the 18th, 2015. with sensible steering for building recommenders, propensity models, and churn and prognostic maintenance models.
The authors use task-oriented descriptions and concrete end-to-end examples to make sure that the reader will directly begin the victimization of the new service. The book describes all aspects of the service from knowledge of the Data ingress to applying machine learning. It even involves evaluating the models and deploying them as internet web services.
What’s New in the Second Edition?
Five new chapters have been added with practical detailed coverage of:
- Python Integration – a new feature announced February 2015
- Data preparation and feature selection
- Data visualization with Power BI
- Recommendation engines
- Selling your models on Azure Marketplace
About Book Authors:
At Present, Valentine Fontama is a Senior Product Manager at Microsoft and is involved in developing and supporting Microsoft’s Hadoop-based services for Windows and Azure.
At present, Roger Barga is a general manager, Amazon Kinesis services at AWS.
At present, Wee-Hyong Tok is a program manager on the SQL Server Integration Services team. He has worked on several different aspects of the product.
More books Authored these Authors:
What Will You Learn?
Module I: Introduction to Data Science and Microsoft Azure Machine Learning
⇒ Introduction to Data Science
⇒ Introducing Microsoft Azure Machine Learning
⇒ Data Preparation
⇒ Integration with R
⇒ Integration with Python
Module II: Statistical and Machine Learning Algorithms
⇒ Introduction to Statistical and Machine Learning Algorithms
Module III: Practical Applications of Azure Machine Learning
⇒ Building Customer Propensity Models
⇒ Visualizing Your Models with Power BI
⇒ Building Churn Models
⇒ Customer Segmentation Models
⇒ Building Predictive Maintenance Models
⇒ Recommendation Systems
⇒ Consuming and Publishing Models on Azure Marketplace
⇒ Cortana Analytics
High Rated Online Video Course on Microsoft Azure:
A-Z Machine Learning using Azure Machine Learning (AzureML)
In this course, You will learn to:
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- Choose the correct Machine Learning Algorithm using the cheatsheet
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- Use Machine Learning in the simplest form possible, using excel
- Bring in great value to business you manage
70-532 Developing Microsoft Azure Solutions Certification
In this course, You will learn to:
- Pass the Microsoft 70-532 Developing Microsoft Azure Solutions test
- Master the main concepts of Azure, beyond the ones you normally use
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