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Deep Learning with Python: A Hands-on Introduction
Deep Learning with Python: A Hands-on Introduction
Discover the practical aspects of implementing deep-learning solutions using the rich Python ecosystem. This book bridges the gap between the academic state-of-the-art and the industry state-of-the-practice by introducing you to deep learning frameworks such as Keras, Theano, and Caffe. The practicalities of these frameworks is often...
Database Anonymization: Privacy Models, Data Utility, and Microaggregation-based Inter-model Connections
Database Anonymization: Privacy Models, Data Utility, and Microaggregation-based Inter-model Connections

The current social and economic context increasingly demands open data to improve scientific research and decision making. However, when published data refer to individual respondents, disclosure risk limitation techniques must be implemented to anonymize the data and guarantee by design the fundamental right to privacy of the subjects the...

Pragmatic Guide to JavaScript (Pragmatic Guides)
Pragmatic Guide to JavaScript (Pragmatic Guides)

The JavaScript ecosystem can be tough to hack through, even for experienced programmers. There are so many extensive JavaScript reference books and competing libraries to choose from-Prototype, jQuery, MooTools, YUI, Dojo, ExtJS, and so on.

Christophe Porteneuve is here to help: he gives you fundamentals, the most
...

Principles of Bacterial Detection: Biosensors, Recognition Receptors and Microsystems
Principles of Bacterial Detection: Biosensors, Recognition Receptors and Microsystems
Bacterial contamination of food and water resources, as well as the increasing incidence of nosocomial infections, has us on our toes, looking for ways of recognizing these elements. In addition, the recent and growing threats to personal and territorial securities make this task even  more urgent. Therefore, accurate assessment of the state...
Principles of Embedded Networked Systems Design
Principles of Embedded Networked Systems Design
"...this volume represents a real mine of information...anyone working in the field would benefit from owning a copy." IEEE Communications Engineer

Embedded network systems (ENS) provide a set of technologies that can link the physical world to large-scale networks in applications, such as monitoring of borders,
...
Fundamentals of Deep Learning: Designing Next-Generation Machine Intelligence Algorithms
Fundamentals of Deep Learning: Designing Next-Generation Machine Intelligence Algorithms

With the reinvigoration of neural networks in the 2000s, deep learning has become an extremely active area of research, one that’s paving the way for modern machine learning. In this practical book, author Nikhil Buduma provides examples and clear explanations to guide you through major concepts of this complicated field.

...
HTML5, JavaScript, and jQuery 24-Hour Trainer
HTML5, JavaScript, and jQuery 24-Hour Trainer

HTML5, the dominant web development technology, shares an ecosystem with CSS/CSS3, JavaScript, and JavaScript libraries like jQuery. To build robust, functional web applications, you need to understand these technologies and how they fit together. This book is your step-by-step, hands-on guide to building web apps.

Each section...

Reservoir Engineering Handbook
Reservoir Engineering Handbook
"...this publication provides a comprehensive and up-to-date reference tool for the reservoir engineer or reservoir engineering student. It covers reservoir fluid behaviour and properties, including laboratory analysis and reservoir fluid flow. It provides a guide to predicting oil reservoir performance through analysis of oil recovery...
Fundamentals of Error-Correcting Codes
Fundamentals of Error-Correcting Codes

Fundamentals of Error Correcting Codes is an in-depth introduction to coding theory from both an engineering and mathematical viewpoint. It reviews classical topics, and gives much coverage of recent techniques which could previously only be found in specialist publications. Numerous exercises and examples and an accessible writing style make...

Python Parallel Programming Cookbook
Python Parallel Programming Cookbook

Master efficient parallel programming to build powerful applications using Python

About This Book

  • Design and implement efficient parallel software
  • Master new programming techniques to address and solve complex programming problems
  • Explore the world of parallel programming...
Mastering Python Scientific Computing
Mastering Python Scientific Computing

A complete guide for Python programmers to master scientific computing using Python APIs and tools

About This Book

  • The basics of scientific computing to advanced concepts involving parallel and large scale computation are all covered.
  • Most of the Python APIs and tools used in scientific...
Deep Learning with PyTorch: A practical approach to building neural network models using PyTorch
Deep Learning with PyTorch: A practical approach to building neural network models using PyTorch

Build neural network models in text, vision and advanced analytics using PyTorch

Key Features

  • Learn PyTorch for implementing cutting-edge deep learning algorithms.
  • Train your neural networks for higher speed and flexibility and learn how to implement them in various...
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