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Books tags: intelligence
Game Development Patterns and Best Practices: Better games, less hassle
Game Development Patterns and Best Practices: Better games, less hassle

Utilize proven solutions to solve common problems in game development

About This Book

  • Untangle your game development workflow, make cleaner code, and create structurally solid games
  • Implement key programming patterns that will enable you to make efficient AI and remove duplication
    • ...
Dictionary of Computer and Internet Terms (Words R Us Computer Dictionaries) (Volume 1)
Dictionary of Computer and Internet Terms (Words R Us Computer Dictionaries) (Volume 1)

This dictionary contains over 32,000 terms that are specific to Computers and the Internet. Each term includes a definition / description. With more than 750 pages, this dictionary is one of the most comprehensive resources available. Terms relate to applications, commands, functions, operating systems, image processing and networking. No...

Deep Learning: Practical Neural Networks with Java
Deep Learning: Practical Neural Networks with Java

Build and run intelligent applications by leveraging key Java machine learning libraries

About This Book

  • Develop a sound strategy to solve predictive modelling problems using the most popular machine learning Java libraries.
  • Explore a broad variety of data processing, machine learning,...
Beginning SQL Server R Services: Analytics for Data Scientists
Beginning SQL Server R Services: Analytics for Data Scientists

Learn how to develop powerful data analytics applications quickly for SQL Server database administrators and developers. Organizations will be able to sift data and derive the business intelligence needed to drive business decisions and profit. The addition of R to SQL Server 2016 places a powerful analytical processor into an...

Harmony Search Algorithm: Proceedings of the 3rd International Conference on Harmony Search Algorithm (ICHSA 2017) (Advances in Intelligent Systems and Computing)
Harmony Search Algorithm: Proceedings of the 3rd International Conference on Harmony Search Algorithm (ICHSA 2017) (Advances in Intelligent Systems and Computing)

This book presents state-of-the-art technical contributions based around one of the most successful evolutionary optimization algorithms published to date: Harmony Search. Contributions span from novel technical derivations of this algorithm to applications in the broad fields of civil engineering, energy, transportation &...

Classification and Learning Using Genetic Algorithms: Applications in Bioinformatics and Web Intelligence (Natural Computing Series)
Classification and Learning Using Genetic Algorithms: Applications in Bioinformatics and Web Intelligence (Natural Computing Series)
Genetic algorithms (GAs) are randomized search and optimization techniques guided by the principles of evolution and natural genetics; they have a large amount of implicit parallelism. GAs perform multimodal search in complex landscapes and provide near-optimal solutions for objective or tness func tion of an...
Parallel Genetic Algorithms: Theory and Real World Applications (Studies in Computational Intelligence)
Parallel Genetic Algorithms: Theory and Real World Applications (Studies in Computational Intelligence)

This book is the result of several years of research trying to better characterize parallel genetic algorithms (pGAs) as a powerful tool for optimization, search, and learning. Readers can learn how to solve complex tasks by reducing their high computational times. Dealing with two scientific fields (parallelism and GAs) is always...

Data Mining and Statistics for Decision Making
Data Mining and Statistics for Decision Making
Data mining is the process of automatically searching large volumes of data for models and patterns using computational techniques from statistics, machine learning and information theory; it is the ideal tool for such an extraction of knowledge. Data mining is usually associated with a business or an organization's need to identify...
Data Mining and Knowledge Discovery for Process Monitoring and Control (Advances in Industrial Control)
Data Mining and Knowledge Discovery for Process Monitoring and Control (Advances in Industrial Control)
Modern computer-based control systems are able to collect a large amount of information, display it to operators and store it in databases but the interpretation of the data and the subsequent decision making relies mainly on operators with little computer support. This book introduces developments in automatic analysis and interpretation of...
Data Mining with Decision Trees: Theroy and Applications (Machine Perception and Artificial Intelligence)
Data Mining with Decision Trees: Theroy and Applications (Machine Perception and Artificial Intelligence)

This is the first comprehensive book dedicated entirely to the field of decision trees in data mining and covers all aspects of this important technique.Decision trees have become one of the most powerful and popular approaches in knowledge discovery and data mining, the science and technology of exploring large and complex bodies of data in...

Dictionary of Computer Acronyms and Abbreviations: Plus File Name Extensions (Words R Us Computer Dictionaries) (Volume 2)
Dictionary of Computer Acronyms and Abbreviations: Plus File Name Extensions (Words R Us Computer Dictionaries) (Volume 2)
This Companion Volume to our Dictionary of Computer and Internet Terms (Vol.2) - Dictionary of Computer Acronyms and Abbreviations, has 4,300 terms. It also includes a section on file name extensions with 38,000 entries showing the most commonly used extensions and their association with various software systems. Volume 1 contains over 32,000...
Practical Data Wrangling: Expert techniques for transforming your raw data into a valuable source for analytics
Practical Data Wrangling: Expert techniques for transforming your raw data into a valuable source for analytics

Key Features

  • This easy-to-follow guide takes you through every step of the data wrangling process in the best possible way
  • Work with different types of datasets, and reshape the layout of your data to make it easier for analysis
  • Get simple examples and real-life data...
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