Book description
Explore predictive analytics using step-by-step tutorials and build models to make prediction in a jiffy with a few mouse clicks
Learn how to build predictive models using a browser such as IE
Explore different machine learning algorithms available
Without any prior knowledge and experience get started with predictive analytics with confidence
In Detail
This 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.
Table of contents
-
Microsoft Azure Machine Learning
- Table of Contents
- Microsoft Azure Machine Learning
- Credits
- About the Author
- Acknowledgments
- About the Reviewers
- www.PacktPub.com
- Preface
- 1. Introduction
- 2. ML Studio Inside Out
- 3. Data Exploration and Visualization
- 4. Getting Data in and out of ML Studio
- 5. Data Preparation
- 6. Regression Models
-
7. Classification Models
- Understanding classification
- Training, scoring, and evaluating modules
- Classifying diabetes or not
- Predicting adult income with decision-tree-based models
- Do it yourself – comparing models to choose the best
- Multiclass classification
- Multiclass classification with the Iris dataset
- Multiclass classification with the Wine dataset
- Summary
- 8. Clustering
- 9. A Recommender System
- 10. Extensibility with R and Python
- 11. Publishing a Model as a Web Service
- 12. Case Study Exercise I
- 13. Case Study Exercise II
- Index
Product information
- Title: Microsoft Azure Machine Learning
- Author(s):
- Release date: June 2015
- Publisher(s): Packt Publishing
- ISBN: 9781784390792
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