Learn IT - Books tags neural

Advances in Artificial Intelligence for Privacy Protection and Security

World Scientific Publishing, 2009

In this book, we aim to collect the most recent advances in artificial intelligence techniques (i.e. neural networks, fuzzy systems, multi-agent systems, genetic algorithms, image analysis, clustering, etc), which are applied to the protection of privacy and security. The symbiosis between these fields leads to a pool of invigorating ideas,...

Deep Learning with Applications Using Python: Chatbots and Face, Object, and Speech Recognition With TensorFlow and Keras

Apress, 2018

Explore deep learning applications, such as computer vision, speech recognition, and chatbots, using frameworks such as TensorFlow and Keras. This book helps you to ramp up your practical know-how in a short period of time and focuses you on the domain, models, and algorithms required for deep learning applications....

Pattern Recognition, Third Edition

Academic Press, 2006

A classic -- offering comprehensive and unified coverage with a balance between theory and practice!

Pattern recognition is integral to a wide spectrum of scientific disciplines and technologies including image analysis, speech recognition and audio classification, communications, computer-aided diagnosis, data mining. The authors,...

Fast Reliable Algorithms for Matrices with Structure (Advances in Design and Control)

SIAM, 1987

This book is the first to pay special attention to the combined issues of speed and numerical reliability in algorithm development. These two requirements have often been regarded as competitive, so much so that the design of fast and numerically reliable algorithms for large-scale structured systems of linear equations, in many cases, remains a...

Data Science from Scratch: First Principles with Python

O'Reilly, 2015

Data science libraries, frameworks, modules, and toolkits are great for doing data science, but they’re also a good way to dive into the discipline without actually understanding data science. In this book, you’ll learn how many of the most fundamental data science tools and algorithms work by implementing them from...

Practical Machine Learning

Packt Publishing, 2016

About This Book

Fully-coded working examples using a wide range of machine learning libraries and tools, including Python, R, Julia, and Spark

Comprehensive practical solutions taking you into the future of machine learning

Go a step further and integrate your machine learning projects with...

Soft Computing and Signal Processing: Proceedings of ICSCSP 2018, Volume 2 (Advances in Intelligent Systems and Computing (898))

Springer, 2019

The book includes research papers on current developments in the field of soft computing and signal processing, selected from papers presented at the International Conference on Soft Computing and Signal Processing (ICSCSP 2018). It features papers on current topics, such as soft sets, rough sets, fuzzy logic, neural networks,...

Artificial Intelligence Applications and Innovations (IFIP International Federation for Information Processing)

Springer, 2004

Artificial Intelligence is one of the oldest and most exciting subfields of computing, covnering such areas as intelligent robotics, intelligent planning and scheduling, model-based reasoning, fault diagnosis, natural language processing, maching translation, knowledge representation and reasoning, knowledge-based systems, knowledge engineering,...

Artificial Intelligence and Soft Computing -- ICAISC 2004: 7th International Conference, Zakopane, Poland, June 7-11, 2004

Springer, 2004

This book constitutes the refereed proceedings of the 7th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2004, held in Zakopane, Poland in June 2004.

The 172 revised contributed papers presented together with 17 invited papers were carefully reviewed and selected from 250 submissions. The papers are organized in...

Machine Learning: An Algorithmic Perspective (Chapman & Hall/Crc Machine Learning & Pattern Recognition)

CRC Press, 2009

Traditional books on machine learning can be divided into two groups â those aimed at advanced undergraduates or early postgraduates with reasonable mathematical knowledge and those that are primers on how to code algorithms. The field is ready for a text that not only demonstrates how to use the algorithms that make up machine learning...

Introduction to Dynamic Modeling of Neuro-Sensory Systems (Biomedical Engineering)

CRC Press, 2000

Although neural modeling has a long history, most of the texts available on the subject are quite limited in scope, dealing primarily with the simulation of large-scale biological neural networks applicable to describing brain function. Introduction to Dynamic Modeling of Neuro-Sensory Systems presents the mathematical tools and methods that...

Social Engineering: The Art of Human Hacking

John Wiley & Sons, 2010

The first book to reveal and dissect the technical aspect of many social engineering maneuvers

From elicitation, pretexting, influence and manipulation all aspects of social engineering are picked apart, discussed and explained by using real world examples, personal experience and the science behind them to unraveled the...

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