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Spatial Analysis and Modeling in Geographical Transformation Process: GIS-based Applications (GeoJournal Library)
Spatial Analysis and Modeling in Geographical Transformation Process: GIS-based Applications (GeoJournal Library)

Currently, spatial analysis is becoming more important than ever because enormous volumes of spatial data are available from different sources, such as GPS, Remote Sensing, and others.

This book deals with spatial analysis and modelling. It provides a comprehensive discussion of spatial analysis, methods, and approaches related to...

R for Business Analytics
R for Business Analytics

R for Business Analytics looks at some of the most common tasks performed by business analysts and helps the user navigate the wealth of information in R and its 4000 packages.  With this information the reader can select the packages that can help process the analytical tasks with minimum effort and maximum usefulness. The use of...

TensorFlow 2.0 Quick Start Guide: Get up to speed with the newly introduced features of TensorFlow 2.0
TensorFlow 2.0 Quick Start Guide: Get up to speed with the newly introduced features of TensorFlow 2.0

Perform supervised and unsupervised machine learning and learn advanced techniques such as training neural networks.

Key Features

  • Train your own models for effective prediction, using high-level Keras API
  • Perform supervised and unsupervised machine learning and learn...
Excel for Scientists and Engineers: Numerical Methods
Excel for Scientists and Engineers: Numerical Methods
Learn to fully harness the power of Microsoft Excel® to perform scientific and engineering calculations

With this text as your guide, you can significantly enhance Microsoft Excel's® capabilities to execute the calculations needed to solve a variety of chemical, biochemical, physical, engineering, biological, and medicinal problems. The...

Java EE 8 High Performance: Master techniques such as memory optimization, caching, concurrency, and multithreading to achieve maximum performance from your enterprise applications.
Java EE 8 High Performance: Master techniques such as memory optimization, caching, concurrency, and multithreading to achieve maximum performance from your enterprise applications.

Get more control of your applications performances in development and production and know how to meet your Service Level Agreement on critical microservices.

Key Features

  • Learn how to write a JavaEE application with performance constraints (Service Level Agreement?SLA) leveraging the...
Statistics in a Nutshell
Statistics in a Nutshell

Need to learn statistics for your job? Want help passing a statistics course? Statistics in a Nutshell is a clear and concise introduction and reference for anyone new to the subject. Thoroughly revised and expanded, this edition helps you gain a solid understanding of statistics without the numbing complexity of many college...

Statistics for Linguistics with R: A Practical Introduction (Mouton Textbook)
Statistics for Linguistics with R: A Practical Introduction (Mouton Textbook)

This book is the revised and extended second edition of Statistics for Linguistics with R. The comprehensive revision includes new small sections on programming topics that facilitate statistical analysis, the addition of a variety of statistical functions readers can apply to their own data, and a revision of overview sections on statistical...

Essential Statistics, Regression, and Econometrics
Essential Statistics, Regression, and Econometrics

Essential Statistics, Regression, and Econometrics provides students with a readable, deep understanding of the key statistical topics they need to understand in an econometrics course. It is innovative in its focus, including real data, pitfalls in data analysis, and modeling issues (including functional forms, causality, and instrumental...

Categorical Data Analysis Using SAS, Third Edition
Categorical Data Analysis Using SAS, Third Edition

Statisticians and researchers will find Categorical Data Analysis Using SAS, Third Edition, by Maura Stokes, Charles Davis, and Gary Koch, to be a useful discussion of categorical data analysis techniques as well as an invaluable aid in applying these methods with SAS. Practical examples from a broad range of applications illustrate...

Machine Learning with Spark - Tackle Big Data with Powerful Spark Machine Learning Algorithms
Machine Learning with Spark - Tackle Big Data with Powerful Spark Machine Learning Algorithms

Key Features

  • Follow real-world examples to learn how to develop your own machine learning systems with Spark
  • A practical tutorial with real-world use cases allowing you to develop your own machine learning systems with Spark
  • Combine various techniques and models into an intelligent machine...
Gaussian Processes for Machine Learning (Adaptive Computation and Machine Learning)
Gaussian Processes for Machine Learning (Adaptive Computation and Machine Learning)
Gaussian processes (GPs) provide a principled, practical, probabilistic approach to learning in kernel machines. GPs have received increased attention in the machine-learning community over the past decade, and this book provides a long-needed systematic and unified treatment of theoretical and practical aspects of GPs in machine learning. The...
Machine Learning with R
Machine Learning with R

Learn how to use R to apply powerful machine learning methods and gain an insight into real-world applications

Overview

  • Harness the power of R for statistical computing and data science
  • Use R to apply common machine learning algorithms with real-world applications
  • Prepare,...
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