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Foundations of Data Mining and Knowledge Discovery (Studies in Computational Intelligence)
Foundations of Data Mining and Knowledge Discovery (Studies in Computational Intelligence)
While the notion of knowledge is important in many academic disciplines such as philosophy, psychology, economics, and artificial intelligence, the storage and retrieval of data is the main concern of information science. In modern experimental science, knowledge is usually acquired by observing such data, and the cause-effect or association...
Deep Learning with R
Deep Learning with R

Deep Learning with R introduces deep learning and neural networks using the R programming language. The book builds on the understanding of the theoretical and mathematical constructs and enables the reader to create applications on computer vision, natural language processing and transfer learning.  

The book...

Adaptive Wireless Transceivers : Turbo-Coded, Turbo-Equalized and Space-Time Coded TDMA, CDMA, and OFDM Systems
Adaptive Wireless Transceivers : Turbo-Coded, Turbo-Equalized and Space-Time Coded TDMA, CDMA, and OFDM Systems
Adaptive Wireless Transceivers provides the reader with a broad overview of near-instantaneously adaptive transceivers in the context of TDMA, CDMA and OFDM systems. The adaptive transceivers examined employ powerful turbo codecs, turbo equalisers and space-time codecs, equipping the reader with a future-proof technological road map. It...
Geometric Algebra Computing: in Engineering and Computer Science
Geometric Algebra Computing: in Engineering and Computer Science

This book presents contributions from a global selection of experts in the field. This useful text offers new insights and solutions for the development of theorems, algorithms and advanced methods for real-time applications across a range of disciplines. Written in an accessible style, the discussion of all applications is enhanced by the...

Learning from Data: Concepts, Theory, and Methods
Learning from Data: Concepts, Theory, and Methods
A learning method is an algorithm (usually implemented in software) that esti- mates an unknown mapping (dependency) between a system’s inputs and outputs from the available data, namely from known (input, output) samples. Once such a dependency has been accurately estimated, it can be used for prediction of future system...
Handbook of Signal Processing Systems
Handbook of Signal Processing Systems

In this new edition of the Handbook of Signal Processing Systems, many of the chapters from the previous editions have been updated, and several new chapters have been added. The new contributions include chapters on signal processing methods for light field displays, throughput analysis of dataflow graphs, modeling for...

Fuzzy Modeling Tools for Data Mining and Knowledge Discovery (The Morgan Kaufmann Series in Data Management Systems)
Fuzzy Modeling Tools for Data Mining and Knowledge Discovery (The Morgan Kaufmann Series in Data Management Systems)
Fuzzy Modeling and Genetic Algorithms for Data Mining and Exploration is a handbook for analysts, engineers, and managers involved in developing data mining models in business and government. As youll discover, fuzzy systems are extraordinarily valuable tools for representing and manipulating all kinds of data, and genetic...
Elimination Practice: Software Tools and Applications (With CD-Rom)
Elimination Practice: Software Tools and Applications (With CD-Rom)
This book is a tresure … will be welcomed by all who are active in the areaof elimination methods. -- Bruno Buchberger Professor of Computer Mathematics Johannes Kepler University, Austria

With a software library included, this book provides an elementary introduction to polynomial elimination in practice.
...
Machine Learning Projects for Mobile Applications: Build Android and iOS applications using TensorFlow Lite and Core ML
Machine Learning Projects for Mobile Applications: Build Android and iOS applications using TensorFlow Lite and Core ML

Bring magic to your mobile apps using TensorFlow Lite and Core ML

Key Features

  • Explore machine learning using classification, analytics, and detection tasks.
  • Work with image, text and video datasets to delve into real-world tasks
  • Build apps for Android and...
Python Artificial Intelligence Projects for Beginners: Get up and running with Artificial Intelligence using 8 smart and exciting AI applications
Python Artificial Intelligence Projects for Beginners: Get up and running with Artificial Intelligence using 8 smart and exciting AI applications

Build smart applications by implementing real-world artificial intelligence projects

Key Features

  • Explore a variety of AI projects with Python
  • Get well-versed with different types of neural networks and popular deep learning algorithms
  • Leverage popular...
Brain-Computer Interfaces: An international assessment of research and development trends
Brain-Computer Interfaces: An international assessment of research and development trends
Brain-computer interface (BCI) research deals with establishing communication pathways between the brain and external devices where such pathways do not otherwise exist. Throughout the world, such research is surprisingly extensive and expanding. BCI research is rapidly approaching a level of first-generation medical practice for use by individuals...
Advances in Nonlinear Signal and Image Processing (EURASIP Book Series on Signal Processing and Communications)
Advances in Nonlinear Signal and Image Processing (EURASIP Book Series on Signal Processing and Communications)
The interest in nonlinear methods in signal processing is steadily increasing, since nowadays the advances in computational capacities make it possible to implement sophisticated nonlinear processing techniques which in turn allow remarkable improvements with respect to standard and well-consolidated linear processing approaches.

The aim of the...

unlimited object storage image
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