Learn IT - Books tags algorithm

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....

Reasoning About Program Transformations

Springer, 2002

The motivation of this text lies in what we believe is the inadequacy of current frameworks to reason about the flow of data in imperative programs. This inadequacy clearly shows up when dealing with the individual side effects of loop iterations. Indeed, we face a paradoxical situation where, on the one hand, a typical program spends most of its...

Introduction to the Mathematics of Medical Imaging, Second Edition

SIAM, 2007

At the heart of every medical imaging technology is a sophisticated mathematical model of the measurement process and an algorithm to reconstruct an image from the measured data. This book provides a firm foundation in the mathematical tools used to model the measurements and derive the reconstruction algorithms used in most imaging modalities in...

Linear and Nonlinear Optimization, Second Edition

SIAM, 2008

This book provides an introduction to the applications, theory, and algorithms of linear and nonlinear optimization. The emphasis is on practical aspects—modern algorithms, as well as the influence of theory on the interpretation of solutions or on the design of software. Two important goals of this book are to present linear and nonlinear...

Cryptography in C and C++

Apress, 2013

This book covers everything you need to know to write professional-level cryptographic code. This expanded, improved second edition includes about 100 pages of additional material as well as numerous improvements to the original text. The chapter about random number generation has been completely rewritten, and the latest cryptographic...

Digital Signal Processing Using MATLAB

Cengage Learning, 2011

From the beginning of the 1980s we have witnessed a revolution in computer technology and an explosion in user-friendly applications. This revolution is still continuing today with low-cost personal computer systems that rival the performance of expensive workstations. This technological prowess should be brought to bear on the...

Unity 4.x Game AI Programming

Packt Publishing, 2013

Use your basic knowledge of Unity3D to add effective artificial intelligence to your games. This tutorial will take you through all the essentials, from flocking to pathfinding, from navigation graphs to behavior trees.

Overview

A practical guide with step-by-step instructions and example projects to...

Hands-On Markov Models with Python: Implement probabilistic models for learning complex data sequences using the Python ecosystem

Packt Publishing, 2018

Unleash the power of unsupervised machine learning in Hidden Markov Models using TensorFlow, pgmpy, and hmmlearn

Key Features

Build a variety of Hidden Markov Models (HMM)

Create and apply models to any sequence of data to analyze, predict, and extract valuable...

Digital Watermarking for Digital Media

Information Science Publishing, 2005

Digital media, like audio, video, images, and other multimedia documents, can be protected against copyright infringements with invisible, integrated patterns. Such methods are based on steganography and digital watermarking techniques. Most watermarks are inserted as a plain-bit or adjusted digital signal using a key-based embedding algorithm. The...

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...

Digital Signal Processing: A Computer Science Perspective

John Wiley & Sons, 2000

Get a working knowledge of digital signal processing for computer science applications

The field of digital signal processing (DSP) is rapidly exploding, yet most books on the subject do not reflect the real world of algorithm development, coding for applications, and software engineering. This important new work fills the gap in...

Practical Quantum Computing for Developers: Programming Quantum Rigs in the Cloud using Python, Quantum Assembly Language and IBM QExperience

Apress, 2018

Write algorithms and program in the new field of quantum computing. This book covers major topics such as the physical components of a quantum computer: qubits, entanglement, logic gates, circuits, and how they differ from a traditional computer. Also, Practical Quantum Computing for Developers...

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