by | Released August 2012 | ISBN: 0636920025627

In this sequel to An Introduction to Machine Learning with Web Data, bit.ly lead scientist Hilary Mason shows you how to solve real-world problems with machine learning. Using real data from an actual ecommerce website, you will apply production quality algorithms to understand all the issues that arise when working in a live environment.Learn how to apply best practices to common types of machine learning problems, extract quantifiable data, and explore several open source tools and how to use them.Segments include:Introduction: Discover what the course covers, and what you'll learn.Classification Part 1: Techniques and best practices to learn from your data.Classification Part 2: Learning which attributes maximize desired behavior.Clustering: How to explore and visualize unstructured data when your data is a mess and there's no known structure.Learning from Data: Best practices for offline vs stream analysis.Conclusions: Asking the right questions is hard. Once you've formulated the question you'll know whether your task is easy or hard. Show and hide more

1. Introduction 00:19:18
2. Classification Part 1 00:18:05
3. Classification Part 2 00:42:22
4. Clustering 00:26:10
5. Learning From Data 00:21:16
6. Conclusions 00:06:43
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