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Once the exclusive domain of academics and corporations with large research budgets, intelligent applications that learn from… Expand Movie recommendation systems are important tools that suggest films with respect to users’ choices through item-based… Expand Abstract Recommendation systems use knowledge discovery and statistical methods for recommending items to users. In any… Expand With an ever-increasing amount of options, the task of selecting machine learning tools for big data can be difficult. The… Expand Latent Dirichlet Allocation (LDA) is a popular topic modeling technique for exploring document collections. Because of the… Expand In many domains such as Telecom various scenarios necessitate the processing of large amounts of data using statistical and… Expand Apache Mahout  is an Apache-licensed, open source library for scalable machine learning. It is well known for algorithm… Expand SummaryMahout in Action is a hands-on introduction to machine learning with Apache Mahout. Following real-world examples, the… Expand Working with large data sets is increasingly common in research and industry. There are some distributed data analytics solutions… Expand Datacenters need high-bandwidth interconnection fabrics. Several researchers have proposed highly-redundant topologies with… Expand