#
Computer algorithms
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The concept ** Computer algorithms** represents the subject, aboutness, idea or notion of resources found in **Merrimack Valley Library Consortium**.

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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**Merrimack Valley Library Consortium**.- Label
- Computer algorithms

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- A common-sense guide to data structures and algorithms : level up your core programming skills
- Advanced data structures and algorithms in Java 9
- Advanced data structures and algorithms in Python
- Algorithmic problem solving
- Algorithms : 24-part lecture series
- 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 in motion
- Algorithms of the intelligent Web
- Allgorithms of the intelligent web
- An introduction to the analysis of algorithms
- Beginning Java data structures and algorithms
- Beginning Java data structures and algorithms : sharpen your problem solving skills by learning core computer science concepts in a pain-free manner
- Beginning algorithms
- Beginning data structures and algorithms in C#
- Bio-inspired algorithms for engineering
- Building computer vision projects with OpenCV4 and C++ : implement complex computer vision algorithms and explore deep learning and face detection
- Building games with Ethereum smart contracts : intermediate projects for Solidity developers
- C# data structures and algorithms
- C# data structures and algorithms : explore the possibilities of C# for developing a variety of efficient applications
- C++ 17 STL solutions
- C++ algorithm series : Advanced graphs
- C++ algorithm series : Binary Search Algorithm and Recursion
- C++ algorithm series : Dynamic programming
- C++ algorithm series : Graphs
- C++ algorithm series : Heaps
- C++ algorithm series : Linked lists
- C++ algorithm series : Pointers and 1-D Arrays
- C++ algorithm series : Space Time Complexity Analysis
- C++ algorithm series : Stacks and Queues
- C++ algorithm series : String Tokeniser, Dynamic Memory Allocation, Vectors STL, and Sorting Algorithms
- C++ algorithm series : Strings and 2-D Arrays
- C++ algorithm series : binary trees and binary search trees
- 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++
- C++ fundamentals
- C++ series : Data structures and algorithms
- Clean data : tips, tricks, and techniques
- 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
- Data analysis on streams
- 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 in C++
- Data structures and algorithms using Java
- Data structures in JavaScript
- Discrete structures and their interactions
- Distributed algorithms
- Distributed control of robotic networks : a mathematical approach to motion coordination algorithms
- Distributed systems : design and algorithms
- Elements of programming
- Essential algorithms : a practical approach to computer algorithms
- Exploring graph algorithms with Neo4j
- From analysis of algorithms to analytic combinatorics : a journey with Philippe Flajolet
- From mathematics to generic programming
- Functional data structures and algorithms
- Fundamental algorithms in Scala
- Genetic algorithms in Java basics
- Getting started with machine learning in R
- Graph algorithms for AI in games
- Grokking algorithms : an illustrated guide for programmers and other curious people
- Grokking algorithms : video edition
- Grokking deep learning in motion
- Hands-on algorithms for computer vision : learn how to use the best and most practical computer vision algorithms using OpenCV
- Hands-on data structures & algorithms in Java 11
- Hands-on data structures and algorithms with JavaScript : write efficient code that is highly performant, scalable, and easily testable using JavaScript
- Hands-on data structures and algorithms with Kotlin : level up your programming skills by understanding how Kotlin's data structure works
- Hands-on data structures and algorithms with Python : write complex and powerful using the latest features of Python 3.7
- Hands-on data structures and algorithms with Rust : learn programming techniques to build effective, maintainable, and readable code in Rust 2018
- Hands-on ensemble learning with R : a beginner's guide to combining the power of machine learning algorithms using ensemble techniques
- Hands-on machine learning with IBM Watson : leverage IBM Watson to implement machine learning techniques and algorithms using Python
- High-performance deformable image registration algorithms for manycore processors
- Implementing AI to play games
- Implementing graph algorithms using Scala
- Internet congestion control
- Introduction to programming : learn to program in Java with data structures, algorithms, and logic
- JavaScript data structures and algorithms : an introduction to understanding and implementing core data structure and algorithm fundamentals
- Learn OpenCV 4 by building projects : build real-world computer vision and image processing applications with OpenCV and C++
- Learn data structures and algorithms with Golang : level up your Go programming skills to develop faster and more efficient code
- Learning Go data structures and algorithms
- 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 algorithms in 7 days
- Machine learning classification algorithms using MATLAB
- Machine learning for absolute beginners
- 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/
- Modern algorithms for image processing : computer imagery by example using C#
- Nine algorithms that changed the future : the ingenious ideas that drive today's computers
- Numerical algorithms : methods for computer vision, machine learning, and graphics
- Practical algorithms for 3D computer graphics
- Principles of broadband switching and networking
- Programming JavaScript applications
- Programming with JavaScript : algorithms and applications for desktop and mobile browsers
- Python algorithms : mastering basic algorithms in the Python language
- Python data structures and algorithms
- Security of block ciphers : from algorithm design to hardware implementation
- Sorting and searching algorithms in Scala
- 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 4, fascicle 6, Satisfiability
- The art of computer programming, Volume 4A, combinatorial algorithms part 1
- Understand, manage, and prevent algorithmic bias : a guide for business users and data scientists
- Using AI to transform search
- Veracity of big data : machine learning and other approaches to verifying truthfulness
- Working with big data : intrastructure, algorithms and visualizations : livelessons

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