R Deep Learning Essentials
Harness the ability to build algorithms for unsupervised data using deep learning concepts with R
Master the common problems faced such as overfitting of data, anomalous datasets, image recognition, and performance tuning while building the models
Build models relating to neural
2D Object Detection and Recognition: Models, Algorithms, and Networks This book is about detecting and recognizing 2D objects in gray-level images. Howare
models constructed? Howare they trained? What are the computational approaches to
efficient implementation on a computer? And finally, how can some of these computations
be implemented in the framework of parallel and biologically plausible neural
Retail Marketing Management
For undergraduate and postgraduate courses in Retail Marketing and Marketing Management, and HND Retail Marketing. The second edition of this highly successful text offers a unique approach that combines retail marketing theory with the newer retail concepts and international examples. Building on the first edition this text starts by looking...
This book will help you use the amazing resource that is Google Maps to your own ends. From showing maps on mobiles to creating GIS applications, this lively, recipe-packed guide is all you need.
Add to your website's functionality by utilizing Google Maps' power
Encyclopedia of Geographic Information Science
“Most of the topics in this encyclopedia will remain important for years to come. Many of the topics here are germane to geography such as the Modifiable Areal Unit Problem, spatial autocorrelation, mental maps, and scale. For these reasons as well as for its sheer readability and usefulness, I believe that...
Quantum Walks and Search Algorithms (Quantum Science and Technology)
This book addresses an interesting area of quantum computation called quantum walks, which play an important role in building quantum algorithms, in particular search algorithms. Quantum walks are the quantum analogue of classical random walks.
It is known that quantum computers have great power for searching unsorted databases....
Geographic Data Mining and Knowledge Discovery, Second Edition
Similar to many research and application fields, geography has moved from a datapoor and computation-poor to a data-rich and computation-rich environment. The scope, coverage, and volume of digital geographic datasets are growing rapidly. Public and private sector agencies are creating, processing, and disseminating digital data on land use,...
Python Geospatial Analysis Cookbook
Over 60 recipes to work with topology, overlays, indoor routing, and web application analysis with Python
About This Book
Explore the practical process of using geospatial analysis to solve simple to complex problems with reusable recipes
Concise step-by-step instructions to teach you...
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