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3213 books were found.
NEURAL Network Toolbox (Deep Learning Toolbox from version 18) provides a framework for designing and implementing... Read More >>
This volume presents the latest advances and trends in nonparametric statistics, and gathers selected and peer-reviewed... Read More >>
Big data analytics examines large amounts of data to uncover hidden patterns, correlations and other insights. With... Read More >>
In contrast, the adverse effect ""increased calorie intake"" occurs with ""increased exercise"", and this adverse... Read More >>
"Praise for the First Edition: "". . . the book serves as an excellent tutorial on the R language, providing examples... Read More >>
MATLAB has the tool Deep Learning Toolbox (Neural Network Toolbox for versions before 18) that provides algorithms,... Read More >>
Machine learning teaches computers to do what comes naturally to humans: learn from experience. Machine learning... Read More >>
With this book, you will learn to execute a series of intermediate to advanced statistical tasks as you walk through... Read More >>
Starting with the basics, Applied Unsupervised Learning with R explains clustering methods, distribution analysis,... Read More >>
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This book explores the tools and techniques to bring about the marriage of structured and unstructured data. Read More >>
- Lined - Size: 6 x 9 - Notebook - Journal - Planner - Dairy - 110 Pages - Classic White Lined Paper - For Writing,... Read More >>
The SAS(R) Certified Specialist Prep Guide: Base Programming Using SAS(R) 9.4 prepares you to take the new SAS 9.4... Read More >>
You are interested in becoming a machine learning expert but don't know where to start from? Don't worry you don't... Read More >>
This book systematically addresses the design and analysis of efficient techniques for independent random sampling.... Read More >>
Die Kaufempfehlung, die Ihnen ein Webstore ausspricht, die Einschätzung, welcher Kunde kreditwürdig ist, oder die... Read More >>
Offering a clear set of workable examples with data and explanations, Interaction Effects in Linear and Generalized... Read More >>
Machine learning uses two types of techniques: supervised learning, which trains a model on known input and output... Read More >>
This volume introduces students to each phase of a typical data analysis project in the earth sciences, from preliminary... Read More >>