Data-Variant Kernel Analysis
|Price||$65.00 - $124.80
|Format||Paper book / ebook (PDF)|
Describes and discusses the variants of kernel analysis methods for data types that have been intensely studied in recent years.
This book covers kernel analysis topics ranging from the fundamental theory of kernel functions to its applications. The book surveys the current status, popular trends, and developments in kernel analysis studies. The author discusses multiple kernel learning algorithms and how to choose the appropriate kernels during the learning phase. Data-Variant Kernel Analysis is a new pattern analysis framework for different types of data configurations. The chapters include data formations of offline, distributed, online, cloud, and longitudinal data, used for kernel analysis to classify and predict future state.
by Eric Rochester
Clojure is a Lisp dialect built on top of the Java Virtual Machine. As data increasingly invades more and more parts of our lives, we continually need more tools to deal with it effectively. Data can be organized effectively using Clojure data tools.Mastering Clojure Data Analysis teaches you how to analyze and visualize complex datasets....
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by C.Y. Kan
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Price: $17.99 | Publisher: Packt Publishing | Release: 2014
by Michael Freeman, Joel Ross
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Price: $40.99 | Publisher: Addison-Wesley | Release: 2018
by Paco Nathan
There is an easier way to build Hadoop applications. With this hands-on book, you'll learn how to use Cascading, the open source abstraction framework for Hadoop that lets you easily create and manage powerful enterprise-grade data processing applications - without having to learn the intricacies of MapReduce.Working with sample apps base...
Price: $27.49 | Publisher: O'Reilly Media | Release: 2013
by Bahaaldine Azarmi
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Price: $23.50 | Publisher: Apress | Release: 2016
by Khaled El Emam, Lucy Mosquera, Richard Hoptroff
Building and testing machine learning models requires access to large and diverse data. But where can you find usable datasets without running into privacy issues? This practical book introduces techniques for generating synthetic data - fake data generated from real data - so you can perform secondary analysis to do research, understand ...
Price: $48.30 | Publisher: O'Reilly Media | Release: 2020
by Michael Heydt
This learner's guide will help you understand how to use the features of pandas for interactive data manipulation and analysis.This book is your ideal guide to learning about pandas, all the way from installing it to creating one- and two-dimensional indexed data structures, indexing and slicing-and-dicing that data to derive results, loa...
Price: $35.12 | Publisher: Packt Publishing | Release: 2015
by Alberto Boschetti, Luca Massaron
Fully expanded and upgraded, the latest edition of Python Data Science Essentials will help you succeed in data science operations using the most common Python libraries. This book offers up-to-date insight into the core of Python, including the latest versions of the Jupyter Notebook, NumPy, pandas, and scikit-learn.The book covers detai...
Price: $44.99 | Publisher: Packt Publishing | Release: 2018