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The Object-Oriented Thought Process (5th Edition) (Developer's Library)
The Object-Oriented Thought Process (5th Edition) (Developer's Library)

Object-oriented programming (OOP) is the foundation of modern programming languages, including C++, Java, C#, Visual Basic .NET, Ruby, Objective-C, and Swift. Objects also form the basis for many web technologies such as JavaScript, Python, and PHP.

 

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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...
Visual Saliency: From Pixel-Level to Object-Level Analysis
Visual Saliency: From Pixel-Level to Object-Level Analysis
This book provides an introduction to recent advances in theory, algorithms and application of Boolean map distance for image processing. Applications include modeling what humans find salient or prominent in an image, and then using this for guiding smart image cropping, selective image filtering, image segmentation, image matting, etc....
An Introduction to Cyber Modeling and Simulation (Wiley Series in Modeling and Simulation)
An Introduction to Cyber Modeling and Simulation (Wiley Series in Modeling and Simulation)

Introduces readers to the field of cyber modeling and simulation and examines current developments in the US and internationally

This book provides an overview of cyber modeling and simulation (M&S) developments. Using scenarios, courses of action (COAs), and current M&S and simulation environments,...

Applying Predictive Analytics: Finding Value in Data
Applying Predictive Analytics: Finding Value in Data

This textbook presents a practical approach to predictive analytics for classroom learning. It focuses on using analytics to solve business problems and compares several different modeling techniques, all explained from examples using the SAS Enterprise Miner software. The authors demystify complex algorithms to show how they can be...

Python Data Analysis
Python Data Analysis

Key Features

  • Find, manipulate, and analyze your data using the Python 3.5 libraries
  • Perform advanced, high-performance linear algebra and mathematical calculations with clean and efficient Python code
  • An easy-to-follow guide with realistic examples that are frequently used in real-world data...
Learning ROS for Robotics Programming - Second Edition
Learning ROS for Robotics Programming - Second Edition

Your one-stop guide to the Robot Operating System

About This Book

  • Model your robot on a virtual world and learn how to simulate it
  • Create, visualize, and process Point Cloud information
  • Easy-to-follow, practical tutorials to program your own robots

Who...

Data Mining Methods and Models
Data Mining Methods and Models
Apply powerful Data Mining Methods and Models to Leverage your Data for Actionable Results

Data Mining Methods and Models provides:

  • The latest techniques for uncovering hidden nuggets of information
  • The insight into how the data mining algorithms actually work
  • The hands-on experience of...
Neo4j High Performance
Neo4j High Performance

Design, build, and administer scalable graph database systems for your applications using Neo4j

About This Book

  • Explore the numerous components that provide abstractions for pretty much any functionality you need from your persistent graphs
  • Familiarize yourself with how to test the...
The Nile Development Game: Tug-of-War or Benefits for All?
The Nile Development Game: Tug-of-War or Benefits for All?

This book introduces an analytic framework constructed upon the iterated Prisoners' Dilemma game to model and analyze transboundary water interactions along the Nile River. It presents a thorough and in-depth analysis of the historical path through which conflict and cooperation have been generated among the Nile riparians over...

Keras Reinforcement Learning Projects: 9 projects exploring popular reinforcement learning techniques to build self-learning agents
Keras Reinforcement Learning Projects: 9 projects exploring popular reinforcement learning techniques to build self-learning agents

A practical guide to mastering reinforcement learning algorithms using Keras

Key Features

  • Build projects across robotics, gaming, and finance fields, putting reinforcement learning (RL) into action
  • Get to grips with Keras and practice on real-world unstructured...
Markov Models for Pattern Recognition: From Theory to Applications
Markov Models for Pattern Recognition: From Theory to Applications

The development of pattern recognition methods on the basis of so-called Markov models is tightly coupled to the technological progress in the field of automatic speech recognition. Today, however, Markov chain and hidden Markov models are also applied in many other fields where the task is the modeling and analysis of chronologically...

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