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Python Deep Learning Projects: 9 projects demystifying neural network and deep learning models for building intelligent systems
Python Deep Learning Projects: 9 projects demystifying neural network and deep learning models for building intelligent systems

Insightful projects to master deep learning and neural network architectures using Python and Keras

Key Features

  • Explore deep learning across computer vision, natural language processing (NLP), and image processing
  • Discover best practices for the training of deep neural...
Privileged Attack Vectors: Building Effective Cyber-Defense Strategies to Protect Organizations
Privileged Attack Vectors: Building Effective Cyber-Defense Strategies to Protect Organizations
See how privileges, passwords, vulnerabilities, and exploits can be combined as an attack vector and breach any organization. Cyber attacks continue to increase in volume and sophistication. It is not a matter of if, but when, your organization will be breached. Attackers target the perimeter network, but, in recent years,...
Machine Learning and Security: Protecting Systems with Data and Algorithms
Machine Learning and Security: Protecting Systems with Data and Algorithms

Can machine learning techniques solve our computer security problems and finally put an end to the cat-and-mouse game between attackers and defenders? Or is this hope merely hype? Now you can dive into the science and answer this question for yourself. With this practical guide, you’ll explore ways to apply machine learning to security...

ERP and Data Warehousing in Organizations: Issues and Challenges
ERP and Data Warehousing in Organizations: Issues and Challenges
Offering ERP deployment strategies for information as diverse as patient records, police and community relations, and geospatial services, this text addresses the complex issues that IT and communication technologies pose for organizations of all sizes.

The successful implementation and deployment of enterprise resource planning depends...

Representations and Techniques for 3D Object Recognition & Scene Interpretation
Representations and Techniques for 3D Object Recognition & Scene Interpretation

3D scene understanding and object recognition are among the grandest challenges in computer vision. A wide variety of techniques and goals, such as structure from motion, optical flow, stereo, edge detection, and segmentation, could be viewed as subtasks within scene understanding and recognition. Many of these applicable methods are...

Retargetable Processor System Integration into Multi-Processor System-on-Chip Platforms
Retargetable Processor System Integration into Multi-Processor System-on-Chip Platforms

The ever increasing complexity of modern electronic devices together with the continually shrinking time-to-market and product lifetimes pose enormous chip design challenges to meet flexibility, performance and energy efficiency constraints. As a consequence, the current trend is towards programmable platforms (Multi-Processor System-on-Chip...

Data Mining with R: Learning with Case Studies
Data Mining with R: Learning with Case Studies

The versatile capabilities and large set of add-on packages make R an excellent alternative to many existing and often expensive data mining tools. Exploring this area from the perspective of a practitioner, Data Mining with R: Learning with Case Studies uses practical examples to illustrate the power of R and data...

Computational Methods for Three-Dimensional Microscopy Reconstruction (Applied and Numerical Harmonic Analysis)
Computational Methods for Three-Dimensional Microscopy Reconstruction (Applied and Numerical Harmonic Analysis)

Approaches to the recovery of three-dimensional information on a biological object, which are often formulated or implemented initially in an intuitive way, are concisely described here based on physical models of the object and the image-formation process. Both three-dimensional electron microscopy and X-ray tomography can be captured in the...

3D Computer Vision: Efficient Methods and Applications (X.media.publishing)
3D Computer Vision: Efficient Methods and Applications (X.media.publishing)

This book provides an introduction to the foundations of three-dimensional computer vision and describes recent contributions to the field. Geometric methods include linear and bundle adjustment based approaches to scene reconstruction and camera calibration, stereo vision, point cloud segmentation, and pose estimation of rigid, articulated, and...

Hadoop Real World Solutions Cookbook
Hadoop Real World Solutions Cookbook

Ever felt you could use some no-nonsense, practical help when developing applications with Hadoop? Well, you've just found it. This real-world solutions cookbook is packed with handy recipes you can apply to your own everyday issues.

Overview

  • Solutions to common problems when working in the Hadoop...
Embedded, Everywhere: A Research Agenda for Networked Systems of Embedded Computers
Embedded, Everywhere: A Research Agenda for Networked Systems of Embedded Computers
Continued advances in information technologies are enabling a growing number of physical devices to be imbued with computingand communications capabilities. Aircraft, cars, household appliances, cellular telephones, and health monitoring devices all contain microprocessors that are being linked with other information processing devices. Such...
3D Art Essentials: The Fundamentals of 3D Modeling, Texturing, and Animation
3D Art Essentials: The Fundamentals of 3D Modeling, Texturing, and Animation

This book was written to give beginning 3D artists a map through the art and how to get involved in the 3D industry. You can use this book by reading all the way through it cover to cover with or without doing the tutorials, by picking and choosing chapters based on gaps you want to fill, or as a quick reference to a concept you...

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