#
Computer algorithms
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The concept ** Computer algorithms** represents the subject, aboutness, idea or notion of resources found in **Mid-Continent Public Library**.

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Computer algorithms
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The concept

**Computer algorithms**represents the subject, aboutness, idea or notion of resources found in**Mid-Continent Public Library**.- Label
- Computer algorithms

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- A common-sense guide to data structures and algorithms : level up your core programming skills
- Algorithmic problem solving
- Algorithms and parallel computing
- Algorithms and protocols for wireless and mobile ad hoc networks
- Algorithms for dummies
- Algorithms in C
- Algorithms in C++, Part 5, Graph algorithms
- Algorithms in C++, Parts 1-4, Fundamentals, data structures, sorting, searching
- Algorithms in C, Part 5, Graph algorithms
- Algorithms in Java
- Algorithms in a nutshell
- Algorithms in a nutshell
- Algorithms of the intelligent Web
- Algorithms to live by : the computer science of human decisions
- Algorithms to live by : the computer science of human decisions
- An introduction to the analysis of algorithms
- Automatic defense against zero-day polymorphic worms in communication networks
- Beginning Java data structures and algorithms : sharpen your problem solving skills by learning core computer science concepts in a pain-free manner
- Beginning algorithms
- Bio-inspired algorithms for engineering
- Building games with Ethereum smart contracts : intermediate projects for Solidity developers
- C++ algorithms for digital signal processing
- C++ data structures and algorithms : learn how to write efficient code to build scalable and robust applications in C++
- Coming to grips with dangerous algorithms : algorithms power transformative technology but also present many threats to users - which raises the question of how to prevent and regulate against potential disaster
- Cost-sensitive machine learning
- Câ™¯ data structures and algorithms : explore the possibilities of Câ™¯ for developing a variety of efficient applications
- Data compression for real programmers
- Data mining algorithms in C++ : data patterns and algorithms for modern applications
- Data science algorithms in a week : data analysis, machine learning, and more
- Data science algorithms in a week : top 7 algorithms for scientific computing, data analysis, and machine learning
- Data structures & algorithms in Java
- Data structures and algorithms using Java
- Discrete structures and their interactions
- Distributed algorithms
- Distributed control of robotic networks : a mathematical approach to motion coordination algorithms
- Distributed systems : an algorithmic approach
- Distributed systems : design and algorithms
- Elements of programming
- Ensemble machine learning : a beginner's guide that combines powerful machine learning algorithms to build optimized models
- Essential algorithms : a practical approach to computer algorithms
- From mathematics to generic programming
- Fundamental data compression
- Genetic algorithms in Java basics
- Grunt Cookbook : Over 80 hands-on recipes for streamlining development, management, and deployment with Grunt
- Handbook of finite state based models and applications
- Hands-on algorithms for computer vision : learn how to use the best and most practical computer vision algorithms using OpenCV
- Hands-on data structures and algorithms with JavaScript : write efficient code that is highly performant, scalable, and easily testable using JavaScript
- Hands-on ensemble learning with R : a beginner's guide to combining the power of machine learning algorithms using ensemble techniques
- High-performance deformable image registration algorithms for manycore processors
- Internet congestion control
- Introduction to programming : learn to program in Java with data structures, algorithms, and logic
- Learn OpenCV 4 by building projects : build real-world computer vision and image processing applications with OpenCV and C++
- Machine learning : algorithms and applications
- Machine learning algorithms : popular algorithms for data science and machine learning
- Machine learning algorithms : reference guide for popular algorithms for data science and machine learning
- Machine learning for hackers
- MapReduce design patterns
- Mastering algorithms with C
- Mastering algorithms with Perl
- Mastering machine learning algorithms : expert techniques to implement popular machine learning algorithms and fine-tune your models
- Masterminds of programming
- Nine algorithms that changed the future : the ingenious ideas that drive today's computers
- Numerical algorithms : methods for computer vision, machine learning, and graphics
- Optimization of computer networks : modeling and algorithms : a hands-on approach
- Practical algorithms for 3D computer graphics
- Principles of broadband switching and networking
- Probability and statistics with reliability, queuing, and computer science applications
- Programming JavaScript applications
- Programming computer vision with Python
- Programming like a pro for teens
- Programming with JavaScript : algorithms and applications for desktop and mobile browsers
- Python algorithms : mastering basic algorithms in the Python language
- Python algorithms : mastering basic algorithms in the Python language
- Security of block ciphers : from algorithm design to hardware implementation
- System parameter identification : information criteria and algorithms
- Test-driven machine learning : control your machine learning algorithms using test-driven development to achieve quantifiable milestones
- Testing and tuning market trading systems : algorithms in C++
- The art of computer programming
- The art of computer programming, Volume 1, Fundamental Algorithms
- The art of computer programming, Volume 1, fascicle 1, MMIX A RISC computer for the new millennium
- The art of computer programming, Volume 2, Seminumerical algorithms
- The art of computer programming, Volume 4A, combinatorial algorithms part 1
- The creativity code : art and innovation in the age of AI
- The garbage collection handbook : the art of automatic memory management
- Veracity of big data : machine learning and other approaches to verifying truthfulness

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