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Microsoft Azure Machine Learning

You're reading from Microsoft Azure Machine Learning

Product type Book

Published in Jun 2015

Publisher

ISBN-13 9781784390792

Pages 212 pages

Edition 1st Edition

Languages

Concepts

Machine Learning

Authors (2):

Sumit Mund

Christina Storm

View More author details

Table of Contents (21) Chapters

Microsoft Azure Machine Learning

Credits

About the Author

Acknowledgments

About the Reviewers

www.PacktPub.com

Preface

Introduction

ML Studio Inside Out

Data Exploration and Visualization

Getting Data in and out of ML Studio

Data Preparation

Regression Models

Classification Models

Clustering

A Recommender System

Extensibility with R and Python

Publishing a Model as a Web Service

Case Study Exercise I

Case Study Exercise II

Index

Multiclass classification with the Wine dataset

The Wine dataset is another classic and simple dataset hosted in the UCI machine learning repository. It contains chemical analysis of the content of wines grown in the same region in Italy, but derived from three different cultivars. It is used to determine models for classification problems by predicting the source (cultivar) of wine as class or target variable. The dataset has the following 13 features (dependent variables), which are all numeric:

Alcohol
Malic acid
Ash
Alcalinity of ash
Magnesium
Total phenols
Flavanoids
Nonflavanoid phenols
Proanthocyanins
Color intensity
Hue
OD280/OD315 of diluted wines
Proline

The examples or instances are classified into three classes: 1, 2 and 3.

You can find more about the dataset at http://archive.ics.uci.edu/ml/datasets/Wine.

Multiclass neural network with parameter sweep

We will build a model with multiclass neural network and optimize the parameters with the Sweep Parameter module.

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Authors (2)

Sumit Mund

Sumit Mund is a BI/analytics consultant with about a decade of industry experience. He works in his own company, Mund Consulting Ltd., where he is a director and lead consultant. He is an expert in machine learning, predictive analytics, C#, R, and Python programming; he also has an active interest in Artificial Intelligence. He has extensive experience working with most of Microsoft Data Analytics tools and also on Big Data platforms, such as Hadoop and Spark. He is a Microsoft Certified Solution Expert (MCSE in Business Intelligence). Sumit regularly engages on social media platforms through his tweets, blogs, and LinkedIn profile, and often gives talks at industry conferences and local user group meetings.

See other products by Sumit Mund

Christina Storm

contacted on 5 aug 16

See other products by Christina Storm

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