Insights From The Algorithm
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Insights From The Algorithm
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Author : Crazy Science
language : en
Publisher:
Release Date : 2023-10-12
Insights From The Algorithm written by Crazy Science and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-10-12 with categories.
"Insights from the Algorithm" A captivating journey into machine learning's world.
Beyond The Algorithm
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Author : Deepa Das Acevedo
language : en
Publisher: Cambridge University Press
Release Date : 2020-11-05
Beyond The Algorithm written by Deepa Das Acevedo and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-05 with Business & Economics categories.
Qualitative empirical research reveals that the narratives and real-life experiences defining gig work have concrete implications for law.
Bio Inspired Algorithms For Data Streaming And Visualization Big Data Management And Fog Computing
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Author : Simon James Fong
language : en
Publisher: Springer Nature
Release Date : 2020-08-25
Bio Inspired Algorithms For Data Streaming And Visualization Big Data Management And Fog Computing written by Simon James Fong and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-08-25 with Technology & Engineering categories.
This book aims to provide some insights into recently developed bio-inspired algorithms within recent emerging trends of fog computing, sentiment analysis, and data streaming as well as to provide a more comprehensive approach to the big data management from pre-processing to analytics to visualization phases. The subject area of this book is within the realm of computer science, notably algorithms (meta-heuristic and, more particularly, bio-inspired algorithms). Although application domains of these new algorithms may be mentioned, the scope of this book is not on the application of algorithms to specific or general domains but to provide an update on recent research trends for bio-inspired algorithms within a specific application domain or emerging area. These areas include data streaming, fog computing, and phases of big data management. One of the reasons for writing this book is that the bio-inspired approach does not receive much attention but shows considerable promise and diversity in terms of approach of many issues in big data and streaming. Some novel approaches of this book are the use of these algorithms to all phases of data management (not just a particular phase such as data mining or business intelligence as many books focus on); effective demonstration of the effectiveness of a selected algorithm within a chapter against comparative algorithms using the experimental method. Another novel approach is a brief overview and evaluation of traditional algorithms, both sequential and parallel, for use in data mining, in order to provide an overview of existing algorithms in use. This overview complements a further chapter on bio-inspired algorithms for data mining to enable readers to make a more suitable choice of algorithm for data mining within a particular context. In all chapters, references for further reading are provided, and in selected chapters, the author also include ideas for future research.
Computed Tomography
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Author : Per Christian Hansen
language : en
Publisher: SIAM
Release Date : 2021-09-25
Computed Tomography written by Per Christian Hansen and has been published by SIAM this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-25 with Mathematics categories.
This book describes fundamental computational methods for image reconstruction in computed tomography (CT) with a focus on a pedagogical presentation of these methods and their underlying concepts. Insights into the advantages, limitations, and theoretical and computational aspects of the methods are included, giving a balanced presentation that allows readers to understand and implement CT reconstruction algorithms. Unique in its emphasis on the interplay between modeling, computing, and algorithm development, Computed Tomography: Algorithms, Insight, and Just Enough Theory develops the mathematical and computational aspects of three main classes of reconstruction methods: classical filtered back-projection, algebraic iterative methods, and variational methods based on nonlinear numerical optimization algorithms. It spotlights the link between CT and numerical methods, which is rarely discussed in current literature, and describes the effects of incomplete data using both microlocal analysis and singular value decomposition (SVD). This book sets the stage for further exploration of CT algorithms. Readers will be able to grasp the underlying mathematical models to motivate and derive the basic principles of CT reconstruction and will gain basic understanding of fundamental computational challenges of CT, such as the influence of noisy and incomplete data, as well as the reconstruction capabilities and the convergence of the iterative algorithms. Exercises using MATLAB are included, allowing readers to experiment with the algorithms and making the book suitable for teaching and self-study. Computed Tomography: Algorithms, Insight, and Just Enough Theory is primarily aimed at students, researchers, and practitioners interested in the computational aspects of X-ray CT and is also relevant for anyone working with other forms of tomography, such as neutron and electron tomography, that share the same mathematical formulation. With its basis in lecture notes developed for a PhD course, it is appropriate as a textbook for courses on computational methods for X-ray CT and computational methods for inverse problems.
Text Analytics With Python
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Author : Dipanjan Sarkar
language : en
Publisher: Apress
Release Date : 2016-11-30
Text Analytics With Python written by Dipanjan Sarkar and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-11-30 with Computers categories.
Derive useful insights from your data using Python. You will learn both basic and advanced concepts, including text and language syntax, structure, and semantics. You will focus on algorithms and techniques, such as text classification, clustering, topic modeling, and text summarization. Text Analytics with Python teaches you the techniques related to natural language processing and text analytics, and you will gain the skills to know which technique is best suited to solve a particular problem. You will look at each technique and algorithm with both a bird's eye view to understand how it can be used as well as with a microscopic view to understand the mathematical concepts and to implement them to solve your own problems. What You Will Learn: Understand the major concepts and techniques of natural language processing (NLP) and text analytics, including syntax and structure Build a text classification system to categorize news articles, analyze app or game reviews using topic modeling and text summarization, and cluster popular movie synopses and analyze the sentiment of movie reviews Implement Python and popular open source libraries in NLP and text analytics, such as the natural language toolkit (nltk), gensim, scikit-learn, spaCy and Pattern Who This Book Is For : IT professionals, analysts, developers, linguistic experts, data scientists, and anyone with a keen interest in linguistics, analytics, and generating insights from textual data
A Metaheuristic Approach To Protein Structure Prediction
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Author : Nanda Dulal Jana
language : en
Publisher: Springer
Release Date : 2018-03-05
A Metaheuristic Approach To Protein Structure Prediction written by Nanda Dulal Jana and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-03-05 with Technology & Engineering categories.
This book introduces characteristic features of the protein structure prediction (PSP) problem. It focuses on systematic selection and improvement of the most appropriate metaheuristic algorithm to solve the problem based on a fitness landscape analysis, rather than on the nature of the problem, which was the focus of methodologies in the past. Protein structure prediction is concerned with the question of how to determine the three-dimensional structure of a protein from its primary sequence. Recently a number of successful metaheuristic algorithms have been developed to determine the native structure, which plays an important role in medicine, drug design, and disease prediction. This interdisciplinary book consolidates the concepts most relevant to protein structure prediction (PSP) through global non-convex optimization. It is intended for graduate students from fields such as computer science, engineering, bioinformatics and as a reference for researchers and practitioners.
Blockchain
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Author : Harvard Business Review
language : en
Publisher: Harvard Business Press
Release Date : 2019-08-27
Blockchain written by Harvard Business Review and has been published by Harvard Business Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-08-27 with Business & Economics categories.
Can blockchain solve your biggest business problem? While the world is transfixed by bitcoin mania, your competitors are tuning out the noise and making strategic bets on blockchain. Your rivals are effortlessly tracking every last link in their supply chains. They're making bureaucratic paper trails obsolete while keeping their customers' data safer and discovering new ways to use this next foundational technology to sustain their competitive advantage. What should you be doing with blockchain now to ensure that your business is poised for success? "Blockchain: The Insights You Need from Harvard Business Review" brings you today's most essential thinking on blockchain, explains how to get the right initiatives started at your company, and prepares you to seize the opportunity of the coming blockchain wave. Business is changing. Will you adapt or be left behind? Get up to speed and deepen your understanding of the topics that are shaping your company's future with the Insights You Need from Harvard Business Review series. Featuring HBR's smartest thinking on fast-moving issues--blockchain, cybersecurity, AI, and more--each book provides the foundational introduction and practical case studies your organization needs to compete today and collects the best research, interviews, and analysis to get it ready for tomorrow. You can't afford to ignore how these issues will transform the landscape of business and society. The Insights You Need series will help you grasp these critical ideas--and prepare you and your company for the future.
A Quick Reference To Data Structures And Computer Algorithms
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Author : Raji Ramakrishnan Nair
language : en
Publisher: BPB Publications
Release Date : 2019-09-18
A Quick Reference To Data Structures And Computer Algorithms written by Raji Ramakrishnan Nair and has been published by BPB Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-09-18 with Computers categories.
For beginners to level up Core Programming Skills DESCRIPTION The book gives full understanding of theoretical topic and easy implementation in programming. The book is going to help students in self-learning of data structures and in understanding how these concepts are implemented in programs. It contains lot of figures, which will help students to visualize the concept effectively. Diagrams help students to understand how the programs involving data structure concepts are implemented within the computer system. Algorithms are included to clear the concept of data structure. Each algorithm is explained with figures to make student clearer about the concept. Sample data set is taken and step by step execution of algorithm is provided in the book to ensure the in Ð depth knowledge of students about the concept discussed. KEY FEATURES Simple and easy to understand. Useful for any level of students including B.E., BTech, MCA, BCA, B.Sc. (Computer Science), etc. Algorithms used in the book are well explained and illustrated step by step. Help students in understanding how data structures are implemented in programs. Each module contains question bank which includes questions for competitive examinations like UGC-NET, placement drives, and so on. WHAT WILL YOU LEARN New features and essential of Algorithms and Arrays. Linked List, its type and implementation. Stacks and Queues Trees and Graphs Searching and Sorting Greedy method Beauty of Blockchain WHO THIS BOOK IS FOR This book is useful for all the students of B. Tech, B.E., MCA, BCA, B.Sc. (Computer Science), and so on. Person with basic knowledge in this field can understand the concept from the beginning of the book itself. We think our book is one of a kind. We are trying to connect the past and the present here. The last module of our book is focussing on BLOCKCHAIN. It explains the concepts of blockchain through a different dimension, that is, explaining the data structure aspect of blockchain. Table of Contents 1. Algorithm and Arrays 2. Linked Lists 3. Stacks and queues 4. Trees and Graphs 5. Searching and Sorting 6. Greedy Method 7. Beauty of Blockchain
Brain Storm Optimization Algorithms
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Author : Shi Cheng
language : en
Publisher: Springer
Release Date : 2019-06-03
Brain Storm Optimization Algorithms written by Shi Cheng and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-06-03 with Technology & Engineering categories.
Brain Storm Optimization (BSO) algorithms are a new kind of swarm intelligence method, which is based on the collective behavior of human beings, i.e., on the brainstorming process. Since the introduction of BSO algorithms in 2011, many studies on them have been conducted. They not only offer an optimization method, but could also be viewed as a framework of optimization techniques. The process employed in the algorithms could be simplified as a framework with two basic operations: the converging operation and the diverging operation. A “good enough” optimum could be obtained through recursive solution divergence and convergence. The resulting optimization algorithm would naturally have the capability of both convergence and divergence. This book is primarily intended for researchers, engineers, and graduate students with an interest in BSO algorithms and their applications. The chapters cover various aspects of BSO algorithms, and collectively provide broad insights into what these algorithms have to offer. The book is ideally suited as a graduate-level textbook, whereby students may be tasked with the study of the rich variants of BSO algorithms that involves a hands-on implementation to demonstrate the utility and applicability of BSO algorithms in solving optimization problems.
Applied Learning Algorithms For Intelligent Iot
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Author : Pethuru Raj Chelliah
language : en
Publisher:
Release Date : 2022
Applied Learning Algorithms For Intelligent Iot written by Pethuru Raj Chelliah and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022 with categories.
Applied Learning Algorithms for Intelligent IoT vividly illustrates all the promising and potential machine learning (ML) and deep learning (DL) algorithms through a host of real-world and real-time business use cases. Machines and devices can be empowered to self-learn and exhibit intelligent behavior. Also, Big Data combined with real-time and runtime data can lead to personalized, prognostic, predictive, and prescriptive insights. This book examines the following topics: Cognitive machines and devicesCyber physical systems (CPS)The Internet of Things (IoT) and industrial use casesThe industry 4.0 for smarter manufacturingPredictive and prescriptive insights for smarter systemsMachine vision and intelligenceNatural interfacesK-means clustering algorithmSupport vector machine (SVM) algorithmA priori algorithmsLinear and logistic regression The book clearly articulates ML and DL algorithms that can be used to unearth predictive and prescriptive insights out of Big Data. Transforming raw data into information and relevant knowledge is gaining prominence with the availability of data processing and mining, analytics algorithms, platforms, frameworks, and other accelerators discussed in the book. Now with the emergence of machine learning algorithms, the field of data analytics is bound to reach newer heights.This book will serve as a comprehensive guide for AI researchers, faculty members, and IT professionals. Every chapter will discuss one ML algorithm, its origin, challenges and benefits, as well as a sample industry use case for explaining the algorithm in detail. The book's detailed and deeper dive into ML and DL algorithms using a practical use case can foster innovative research.