About the book; Quick Intro from Author
Azure Machine learning has been introduced in 2014. By seeing a demo in the SQL PASS Summit, I get interested in this product. From that time, I start to work with and demonstrating in different conferences. After a while, I start to write some weblog post about it. In this book, I gathered all these posts in one book. Totally I wrote about 10 blogs on it at a different time from 2017. The book contains information about Azure ML Studio environment, how to use algorithms and create predictive analytics, how to transform data and so forth. You can start reading this book with no prerequisite. It is better to follow the provided sequences.
Number of Pages: 103
About the Author
Leila is the First Microsoft AI MVP in New Zealand and Australia, She is a Data Platform Microsoft MVP as well. She has Ph.D. in Information System from the University Of Auckland. She is the Co-director and data scientist in RADACAD Company with more than 100 clients around the world. She is the co-organizer of Microsoft Business Intelligence and Power BI Use group (meetup) in Auckland with more than 1200 members, She is the co-organizer of three main conferences in Auckland: SQL Saturday Auckland (2015 till now), Difinity (2017 till now) and Global AI Bootcamp 2018. She is a Data Scientist, BI Consultant, Trainer, and Speaker. She is a well-known International Speakers to many conferences such as Microsoft ignite, SQL pass, Data Platform Summit, SQL Saturday, Power BI world Tour and so forth in Europe, USA, Asia, Australia, and New Zealand. She has over ten years’ experience working with databases and software systems. She was involved in many large-scale projects for big-sized companies. She also AI and Data Platform Microsoft MVP. Leila is an active Technical Microsoft AI blogger for RADACAD.
Who Is This Book For?
This book is designed for BI Developers, Consultants, Data scientists who want to know how to develop machine learning solutions with Azure Machine Learning Studio. BI Architects and Decision Makers who want to make their decision about using or not using Machine Learning for their BI applications. Business Analysts who want to get a better insight on data and learn tricks of how to apply machine learning on specific data. The book titled “Azure Machine Learning Studio”, and that means it will cover a wide range of readers. I’ll start by writing 100 level and we will go deep into 400 level at some stage. So, if you don’t know what Azure ML Studio is, or If you are familiar with machine learning but want to learn how to use Azure ML Studio, this book able to show you the main process.
Table of Content
Chapter 1: Introduction
Chapter 2: Azure ML Studio Environment
Chapter 3: Data Transformation in R
Chapter 4: A Machine Learning Prediction Scenario – Data Cleaning
Chapter 5: A Machine Learning Prediction Scenario – Feature Selection
Chapter 6: A Machine Learning Prediction Scenario (1)
Chapter 7: A Machine Learning Prediction Scenario (2)
Chapter 8: Tune Parameters: Machine Learning Prediction
Chapter 9: Cross-Validation: Machine Learning Prediction
Chapter 10: Create Web service from Models
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