June 18, 2021

Download Ebook Free Perspectives On Data Science For Software Engineering

Perspectives on Data Science for Software Engineering

Perspectives on Data Science for Software Engineering
Author : Tim Menzies,Laurie Williams,Thomas Zimmermann
Publisher : Morgan Kaufmann
Release Date : 2016-07-14
Category : Computers
Total pages :408
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Perspectives on Data Science for Software Engineering presents the best practices of seasoned data miners in software engineering. The idea for this book was created during the 2014 conference at Dagstuhl, an invitation-only gathering of leading computer scientists who meet to identify and discuss cutting-edge informatics topics. At the 2014 conference, the concept of how to transfer the knowledge of experts from seasoned software engineers and data scientists to newcomers in the field highlighted many discussions. While there are many books covering data mining and software engineering basics, they present only the fundamentals and lack the perspective that comes from real-world experience. This book offers unique insights into the wisdom of the community’s leaders gathered to share hard-won lessons from the trenches. Ideas are presented in digestible chapters designed to be applicable across many domains. Topics included cover data collection, data sharing, data mining, and how to utilize these techniques in successful software projects. Newcomers to software engineering data science will learn the tips and tricks of the trade, while more experienced data scientists will benefit from war stories that show what traps to avoid. Presents the wisdom of community experts, derived from a summit on software analytics Provides contributed chapters that share discrete ideas and technique from the trenches Covers top areas of concern, including mining security and social data, data visualization, and cloud-based data Presented in clear chapters designed to be applicable across many domains

Software Engineering Perspectives and Application in Intelligent Systems

Software Engineering Perspectives and Application in Intelligent Systems
Author : Radek Silhavy,Roman Senkerik,Zuzana Kominkova Oplatkova,Petr Silhavy,Zdenka Prokopova
Publisher : Springer
Release Date : 2016-04-21
Category : Computers
Total pages :484
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The volume Software Engineering Perspectives and Application in Intelligent Systems presents new approaches and methods to real-world problems, and in particular, exploratory research that describes novel approaches in the field of Software Engineering. Particular emphasis is laid on modern trends in selected fields of interest. New algorithms or methods in a variety of fields are also presented. The 5th Computer Science On-line Conference (CSOC 2016) is intended to provide an international forum for discussions on the latest research results in all areas related to Computer Science. The addressed topics are the theoretical aspects and applications of Computer Science, Artificial Intelligences, Cybernetics, Automation Control Theory and Software Engineering.

New Perspectives in Software Engineering

New Perspectives in Software Engineering
Author : Jezreel Mejia
Publisher : Springer Nature
Release Date : 2021
Category :
Total pages :129
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Challenges and Applications of Data Analytics in Social Perspectives

Challenges and Applications of Data Analytics in Social Perspectives
Author : Sathiyamoorthi, V.,Elci, Atilla
Publisher : IGI Global
Release Date : 2020-12-04
Category : Computers
Total pages :324
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With exponentially increasing amounts of data accumulating in real-time, there is no reason why one should not turn data into a competitive advantage. While machine learning, driven by advancements in artificial intelligence, has made great strides, it has not been able to surpass a number of challenges that still prevail in the way of better success. Such limitations as the lack of better methods, deeper understanding of problems, and advanced tools are hindering progress. Challenges and Applications of Data Analytics in Social Perspectives provides innovative insights into the prevailing challenges in data analytics and its application on social media and focuses on various machine learning and deep learning techniques in improving practice and research. The content within this publication examines topics that include collaborative filtering, data visualization, and edge computing. It provides research ideal for data scientists, data analysts, IT specialists, website designers, e-commerce professionals, government officials, software engineers, social media analysts, industry professionals, academicians, researchers, and students.

Responsible Data Science

Responsible Data Science
Author : Grant Fleming,Peter C. Bruce
Publisher : John Wiley & Sons
Release Date : 2021-04-13
Category : Computers
Total pages :304
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Explore the most serious prevalent ethical issues in data science with this insightful new resource The increasing popularity of data science has resulted in numerous well-publicized cases of bias, injustice, and discrimination. The widespread deployment of “Black box” algorithms that are difficult or impossible to understand and explain, even for their developers, is a primary source of these unanticipated harms, making modern techniques and methods for manipulating large data sets seem sinister, even dangerous. When put in the hands of authoritarian governments, these algorithms have enabled suppression of political dissent and persecution of minorities. To prevent these harms, data scientists everywhere must come to understand how the algorithms that they build and deploy may harm certain groups or be unfair. Responsible Data Science delivers a comprehensive, practical treatment of how to implement data science solutions in an even-handed and ethical manner that minimizes the risk of undue harm to vulnerable members of society. Both data science practitioners and managers of analytics teams will learn how to: Improve model transparency, even for black box models Diagnose bias and unfairness within models using multiple metrics Audit projects to ensure fairness and minimize the possibility of unintended harm Perfect for data science practitioners, Responsible Data Science will also earn a spot on the bookshelves of technically inclined managers, software developers, and statisticians.

The Data Science Design Manual

The Data Science Design Manual
Author : Steven S. Skiena
Publisher : Springer
Release Date : 2017-08-08
Category : Computers
Total pages :445
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This engaging and clearly written textbook/reference provides a must-have introduction to the rapidly emerging interdisciplinary field of data science. It focuses on the principles fundamental to becoming a good data scientist and the key skills needed to build systems for collecting, analyzing, and interpreting data. The Data Science Design Manual is a source of practical insights that highlights what really matters in analyzing data, and provides an intuitive understanding of how these core concepts can be used. The book does not emphasize any particular programming language or suite of data-analysis tools, focusing instead on high-level discussion of important design principles. This easy-to-read text ideally serves the needs of undergraduate and early graduate students embarking on an “Introduction to Data Science” course. It reveals how this discipline sits at the intersection of statistics, computer science, and machine learning, with a distinct heft and character of its own. Practitioners in these and related fields will find this book perfect for self-study as well. Additional learning tools: Contains “War Stories,” offering perspectives on how data science applies in the real world Includes “Homework Problems,” providing a wide range of exercises and projects for self-study Provides a complete set of lecture slides and online video lectures at www.data-manual.com Provides “Take-Home Lessons,” emphasizing the big-picture concepts to learn from each chapter Recommends exciting “Kaggle Challenges” from the online platform Kaggle Highlights “False Starts,” revealing the subtle reasons why certain approaches fail Offers examples taken from the data science television show “The Quant Shop” (www.quant-shop.com)

Computer Science in Perspective

Computer Science in Perspective
Author : Rolf Klein,Hans-Werner Six,Lutz Wegner
Publisher : Springer
Release Date : 2003-07-01
Category : Computers
Total pages :362
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By presenting state-of-the-art aspects of theoretical computer science and practical applications in various fields, this book commemorates the 60th birthday of Thomas Ottmann. The 26 research papers presented span the whole range of Thomas Ottmann's scientific career, from formal languages to algorithms and data structures, from topics in practical computer science like software engineering or database systems to applications of Web technology, groupware, and e-learning.

Cartographic Perspectives

Cartographic Perspectives
Author : Anonim
Publisher : Unknown
Release Date : 1993
Category : Cartography
Total pages :129
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Perspectives on Software Documentation

Perspectives on Software Documentation
Author : Thomas T. Barker
Publisher : Routledge
Release Date : 1991
Category : Computers
Total pages :279
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This book is designed to address the randomness of the literature on software documentation. As anyone interested in software documentation is aware, the field is highly synthetic; information about software documentation may be found in engineering, computer science training, technical communication, management, education and so on. "Perspectives on Software Documentation" contains a variety of perspectives, all tied together by the shared need to make software products more usable.

ACM Transactions on Software Engineering and Methodology

ACM Transactions on Software Engineering and Methodology
Author : Anonim
Publisher : Unknown
Release Date : 1998
Category : Computer software
Total pages :129
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Software Engineering Foundations

Software Engineering Foundations
Author : Yingxu Wang
Publisher : CRC Press
Release Date : 2007-08-09
Category : Computers
Total pages :1488
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A groundbreaking book in this field, Software Engineering Foundations: A Software Science Perspective integrates the latest research, methodologies, and their applications into a unified theoretical framework. Based on the author's 30 years of experience, it examines a wide range of underlying theories from philosophy, cognitive informatics, denota

2001 Australian Software Engineering Conference

2001 Australian Software Engineering Conference
Author : Douglas D. Grant,Leon Sterling
Publisher : IEEE
Release Date : 2001
Category : Computers
Total pages :307
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This work contains papers taken from the 13th Australian Software Engineering Conference (ASWEC 2001).

Software Engineering with Formal Metrics

Software Engineering with Formal Metrics
Author : Lem O. Ejiogu
Publisher : QED Information Sciences
Release Date : 1991
Category : Software engineering
Total pages :334
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Big Data Governance and Perspectives in Knowledge Management

Big Data Governance and Perspectives in Knowledge Management
Author : Strydom, Sheryl Kruger,Strydom, Moses
Publisher : IGI Global
Release Date : 2018-11-16
Category : Computers
Total pages :304
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The world is witnessing the growth of a global movement facilitated by technology and social media. Fueled by information, this movement contains enormous potential to create more accountable, efficient, responsive, and effective governments and businesses, as well as spurring economic growth. Big Data Governance and Perspectives in Knowledge Management is a collection of innovative research on the methods and applications of applying robust processes around data, and aligning organizations and skillsets around those processes. Highlighting a range of topics including data analytics, prediction analysis, and software development, this book is ideally designed for academicians, researchers, information science professionals, software developers, computer engineers, graduate-level computer science students, policymakers, and managers seeking current research on the convergence of big data and information governance as two major trends in information management.

Perspectives in Computing

Perspectives in Computing
Author : Anonim
Publisher : Unknown
Release Date : 1984
Category : Computer-assisted instruction
Total pages :129
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