Lets Explore,

Machine Learning for Big Data: Hands-On for Developers and Technical Professionals

(Paperback)

Jason Bell,

Wiley India Pvt. Ltd (Publisher)

Published

2014

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Mathematics and Science Mathematics Probability and statistics

By: Jason Bell | Publisher: Wiley India Pvt. Ltd | Released: 23 Dec 2014

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The book presents a breakdown of each variant of machine learning, how it works and how it is used within certain industries. Also covered are various algorithm types (supervised, unsupervised and so on) during training phases of machine learning. The reader learns that with the right tools any developer or technology professional can glean information from their existing data. The book outlines the key types of machine learning, providing coded solutions for real world examples. There is a strong focus on data preparation and data cleaning, the core fundamental of machine learning. Each chapter includes how the code works and running examples. Coverage includes:
• Languages for Machine Learning: Hadoop, Mahout, Weka
• Planning for Machine Learning: Data Storage/Data Cleaning
• Decision Trees: Types/Working Examples
• Bayesian Networks: Types/Working Examples
• Artificial Neural Networks: Types/Examples/Working Code
• Association Rule Learning
• Support Vector Machines: Coded Examples
• Clustering
• Machine Learning as Batch: Hadoop, Mahout, MapReduce: Examples
• Learning in Real Time: RabbitMQ

About the Author

Jason Bell manages a number of large scale projects for SportsFusion, a UK company that brings information technology to the professional sports industry. He has worked in software development since 1996 and has been active within the computing and supply chain field since 1990. Jason currently works with technologies such as Java, RabbitMQ and Hadoop but he has also worked with Apache Mahout machine learning API's for customer analysis and recommendations. Jason is also an adjunct professor at the University of Ulster in the UK teaching Python programming. His previous written work includes section editor (J2SE) for Java Developer's Journal and articles for IBM DeveloperWorks.