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- Taylor and Francis 2014; US$ 89.95
Regularization, Optimization, Kernels, and Support Vector Machines offers a snapshot of the current state of the art of large-scale machine learning, providing a single multidisciplinary source for the latest research and advances in regularization, sparsity, compressed sensing, convex and large-scale optimization, kernel methods, and support vector... more...
- Elsevier Science 2014; US$ 44.95
Doing data science is difficult. Projects are typically very dynamic with requirements that change as data understanding grows. The data itself arrives piecemeal, is added to, replaced, contains undiscovered flaws and comes from a variety of sources. Teams also have mixed skill sets and tooling is often limited. Despite these disruptions, a data science... more...
- O'Reilly Media 2014; US$ 33.99
This hands-on guide demonstrates how the flexibility of the command line can help you become a more efficient and productive data scientist. You?ll learn how to combine small, yet powerful, command-line tools to quickly obtain, scrub, explore, and model your data. To get you started?whether you?re on Windows, OS X, or Linux?author Jeroen Janssens... more...
- O'Reilly Media 2014; US$ 25.99
Learn how to write, tune, and port SQL queries and other statements for a Big Data environment, using Impala?the massively parallel processing SQL query engine for Apache Hadoop. The best practices in this practical guide help you design database schemas that not only interoperate with other Hadoop components, and are convenient for administers to... more...
- Packt Publishing 2014; US$ 32.99
This book is aimed at both new developers as well as experienced developers. If you are a new SAP BusinessObjects Universe developer who is looking for a step-by-step guide supported with real-life examples and illustrated diagrams, then this book is for you. If you are a seasoned BusinessObjects Universe developer who is looking for a fast way to... more...
- Packt Publishing 2014; US$ 29.99
If you are an aspiring data scientist who wants to learn data science and numerical programming concepts through hands-on, real-world project examples, this is the book for you. Whether you are brand new to data science or you are a seasoned expert, you will benefit from learning about the structure of data science projects, the steps in the data science... more...
- O'Reilly Media 2014; US$ 25.99
Why a book about logs? That?s easy: the humble log is an abstraction that lies at the heart of many systems, from NoSQL databases to cryptocurrencies. Even though most engineers don?t think much about them, this short book shows you why logs are worthy of your attention. Based on his popular blog posts, LinkedIn principal engineer Jay Kreps shows... more...
- Taylor and Francis 2014; US$ 99.95
Clustering remains a vibrant area of research in statistics. Although there are many books on this topic, there are relatively few that are well founded in the theoretical aspects. In Robust Cluster Analysis and Variable Selection , Gunter Ritter presents an overview of the theory and applications of probabilistic clustering and variable selection,... more...