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 Book

• 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

Who This Book Is For

The 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 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.

探索預測分析，使用逐步教程並透過幾個滑鼠點擊建立模型，快速進行預測。

關於本書：
- 學習如何使用瀏覽器（如IE）建立預測模型。
- 探索不同的機器學習演算法。
- 無需任何先備知識和經驗，自信地開始進行預測分析。

適合閱讀對象：
本書適合想要學習如何使用Azure Machine Learning的讀者。也許您已經對機器學習有一些了解，但從未在Azure中使用過ML Studio；或者您是一個完全的新手。無論哪種情況，本書都能讓您快速上手。

學到什麼：
- 學習使用Azure Machine Learning Studio來視覺化和預處理數據。
- 使用數據分類、回歸和聚類演算法建立模型並進行預測。
- 建立基本的推薦系統。
- 將預測解決方案部署為Web服務API。
- 在使用ML Studio建立的模型中集成R和Python代碼。
- 通過多個案例研究進行探索。

詳細內容：
本書將提供您所需的技能，以最直觀的方式快速開始使用Azure Machine Learning建立預測模型，無論您是完全新手還是現有從業者。

本書首先探索了ML Studio，這是一個基於瀏覽器的開發環境，並探索了第一步-數據探索和視覺化。然後，您將使用監督和非監督演算法建立不同的預測模型，包括一個簡單的推薦系統。接下來，重點轉向學習如何將模型部署到生產環境並將其發布為API。

本書以幾個實際案例研究結束，應用您在整本書中學到的概念和技能來解決真實世界的問題。