Computer Arithmetic: Algorithms And Hardware Designs

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Computer Arithmetic: Algorithms And Hardware Designs

Continue reading “Computer Arithmetic: Algorithms And Hardware Designs”

Computer Arithmetic: Algorithms And Hardware Designs

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Practical Data Structures & Algorithms in Java + HW

Practical Data Structures & Algorithms in Java + HW

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Data Structures And Algorithms Using Python And …

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Nonlinear Programming: Concepts, Algorithms, And Applications To …

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Coursera – Algorithms Design and Analysis – Stanford University (Part 1-2)

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Quantum Walks And Search Algorithms

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Real-World Algorithms by Panos Louridas

Real-World Algorithms: A Beginner’s Guide by Panos Louridas
Requirements: .PDF reader, 10,7 MB
Overview: Algorithms are what we do in order not to have to do something. Algorithms consist of instructions to carry out tasks―usually dull, repetitive ones. Starting from simple building blocks, computer algorithms enable machines to recognize and produce speech, translate texts, categorize and summarize documents, describe images, and predict the weather. A task that would take hours can be completed in virtually no time by using a few lines of code in a modern scripting program. This book offers an introduction to algorithms through the real-world problems they solve. The algorithms are presented in pseudocode and can readily be implemented in a computer language. The book presents algorithms simply and accessibly, without overwhelming readers or insulting their intelligence. Readers should be comfortable with mathematical fundamentals and have a basic understanding of how computers work; all other necessary concepts are explained in the text. After presenting background in pseudocode conventions, basic terminology, and data structures, chapters cover compression, cryptography, graphs, searching and sorting, hashing, classification, strings, and chance. Each chapter describes real problems and then presents algorithms to solve them. Examples illustrate the wide range of applications, including shortest paths as a solution to paragraph line breaks, strongest paths in elections systems, hashes for song recognition, voting power Monte Carlo methods, and entropy for machine learning. Real-World Algorithms can be used by students in disciplines from economics to applied sciences.
Genre: Non-Fiction > Tech & Devices

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Genetic Algorithms and Machine Learning by Frances Buontempo

Genetic Algorithms and Machine Learning for Programmers by Frances Buontempo
Requirements: .PDF reader, 14,3 MB
Overview: Self-driving cars, natural language recognition, and online recommendation engines are all possible thanks to Machine Learning. Now you can create your own genetic algorithms, nature-inspired swarms, Monte Carlo simulations, cellular automata, and clusters. Learn how to test your ML code and dive into even more advanced topics. If you are a beginner-to-intermediate programmer keen to understand machine learning, this book is for you. Discover machine learning algorithms using a handful of self-contained recipes. Build a repertoire of algorithms, discovering terms and approaches that apply generally. Bake intelligence into your algorithms, guiding them to discover good solutions to problems.
Genre: Non-Fiction > Tech & Devices

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Graph Algorithms by Mark Needham, Amy E. Hodler

Graph Algorithms: Practical Examples in Apache Spark and Neo4j by Mark Needham, Amy E. Hodler
Requirements: .PDF reader, 12,2 MB
Overview: Discover how graph algorithms can help you leverage the relationships within your data to develop more intelligent solutions and enhance your machine learning models. You’ll learn how graph analytics are uniquely suited to unfold complex structures and reveal difficult-to-find patterns lurking in your data. Whether you are trying to build dynamic network models or forecast real-world behavior, this book illustrates how graph algorithms deliver value-from finding vulnerabilities and bottlenecks to detecting communities and improving machine learning predictions. This practical book walks you through hands-on examples of how to use graph algorithms in Apache Spark and Neo4j-two of the most common choices for graph analytics. Also included: sample code and tips for over 20 practical graph algorithms that cover optimal pathfinding, importance through centrality, and community detection.
Genre: Non-Fiction > Tech & Devices

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Developing with Graph Algorithms

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Design and Analysis of Algorithms by Sandeep Sen

Design and Analysis of Algorithms: A Contemporary Perspective by Sandeep Sen, Amit Kumar
Requirements: .PDF reader, 4,3 MB
Overview: The text covers important algorithm design techniques, such as greedy algorithms, dynamic programming, and divide-and-conquer, and gives applications to contemporary problems. Techniques including Fast Fourier transform, KMP algorithm for string matching, CYK algorithm for context free parsing and gradient descent for convex function minimization are discussed in detail. The book’s emphasis is on computational models and their effect on algorithm design. It gives insights into algorithm design techniques in parallel, streaming and memory hierarchy computational models. The book also emphasizes the role of randomization in algorithm design, and gives numerous applications ranging from data-structures such as skip-lists to dimensionality reduction methods.
Genre: Non-Fiction > Tech & Devices

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Data Structure and Algorithms Analysis – Job Interview

Data Structure and Algorithms Analysis – Job Interview

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