Learning From Good And Bad Data
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Learning From Good And Bad Data
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Author : Philip D. Laird
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Learning From Good And Bad Data written by Philip D. Laird and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Computers categories.
This monograph is a contribution to the study of the identification problem: the problem of identifying an item from a known class us ing positive and negative examples. This problem is considered to be an important component of the process of inductive learning, and as such has been studied extensively. In the overview we shall explain the objectives of this work and its place in the overall fabric of learning research. Context. Learning occurs in many forms; the only form we are treat ing here is inductive learning, roughly characterized as the process of forming general concepts from specific examples. Computer Science has found three basic approaches to this problem: • Select a specific learning task, possibly part of a larger task, and construct a computer program to solve that task . • Study cognitive models of learning in humans and extrapolate from them general principles to explain learning behavior. Then construct machine programs to test and illustrate these models. xi Xll PREFACE • Formulate a mathematical theory to capture key features of the induction process. This work belongs to the third category. The various studies of learning utilize training examples (data) in different ways. The three principal ones are: • Similarity-based (or empirical) learning, in which a collection of examples is used to select an explanation from a class of possible rules.
Bad Data Handbook
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Author : Q. Ethan McCallum
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2012-11-07
Bad Data Handbook written by Q. Ethan McCallum and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-11-07 with Computers categories.
What is bad data? Some people consider it a technical phenomenon, like missing values or malformed records, but bad data includes a lot more. In this handbook, data expert Q. Ethan McCallum has gathered 19 colleagues from every corner of the data arena to reveal how they’ve recovered from nasty data problems. From cranky storage to poor representation to misguided policy, there are many paths to bad data. Bottom line? Bad data is data that gets in the way. This book explains effective ways to get around it. Among the many topics covered, you’ll discover how to: Test drive your data to see if it’s ready for analysis Work spreadsheet data into a usable form Handle encoding problems that lurk in text data Develop a successful web-scraping effort Use NLP tools to reveal the real sentiment of online reviews Address cloud computing issues that can impact your analysis effort Avoid policies that create data analysis roadblocks Take a systematic approach to data quality analysis
R For Data Science
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Author : Hadley Wickham
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2016-12-12
R For Data Science written by Hadley Wickham and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-12-12 with Computers categories.
Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You'll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you've learned along the way. You'll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true "signals" in your dataset Communicate—learn R Markdown for integrating prose, code, and results
Learning From Good And Bad Data
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Author : Philip D Laird
language : en
Publisher:
Release Date : 1988-03-31
Learning From Good And Bad Data written by Philip D Laird and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1988-03-31 with categories.
Transforming Teaching And Learning Through Data Driven Decision Making
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Author : Ellen B. Mandinach
language : en
Publisher: Corwin Press
Release Date : 2012-04-10
Transforming Teaching And Learning Through Data Driven Decision Making written by Ellen B. Mandinach and has been published by Corwin Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-04-10 with Education categories.
Connect data and instruction to improve practice Gathering data and using it to inform instruction is a requirement for many schools, yet educators are not necessarily formally trained in how to do it. This book helps bridge the gap between classroom practice and the principles of educational psychology. Teachers will find cutting-edge advances in research and theory on human learning and teaching in an easily understood and transferable format. The text’s integrated model shows teachers, school leaders, and district administrators how to establish a data culture and transform quantitative and qualitative data into actionable knowledge based on: Assessment Statistics Instructional and differentiated psychology Classroom management
Inductive Logic Programming
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Author : Stephen Muggleton
language : en
Publisher: Morgan Kaufmann
Release Date : 1992
Inductive Logic Programming written by Stephen Muggleton and has been published by Morgan Kaufmann this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992 with Computers categories.
Inductive logic programming is a new research area emerging at present. Whilst inheriting various positive characteristics of the parent subjects of logic programming an machine learning, it is hoped that the new area will overcome many of the limitations of its forbears. This book describes the theory, implementations and applications of Inductive Logic Programming.
Developments In Applied Artificial Intelligence
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Author : Paul Chung
language : en
Publisher: Springer Science & Business Media
Release Date : 2003-06-11
Developments In Applied Artificial Intelligence written by Paul Chung and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-06-11 with Computers categories.
This book constitutes the refereed proceedings of the 16th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE 2003, held in Loughborough, UK in June 2003. The 81 revised full papers presented were carefully reviewed and selected from more than 140 submissions. Among the topics addressed are soft computing, fuzzy logic, diagnosis, knowledge representation, knowledge management, automated reasoning, machine learning, planning and scheduling, evolutionary computation, computer vision, agent systems, algorithmic learning, tutoring systems, financial analysis, etc.
Quality Reliability And Maintenance 2004
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Author : G. J. McNulty
language : en
Publisher: John Wiley & Sons
Release Date : 2004-05-21
Quality Reliability And Maintenance 2004 written by G. J. McNulty and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-05-21 with Technology & Engineering categories.
The papers included in this volume were presented at the 5th international conference on Quality, Reliability and Maintenance which took place at the University of Oxford in April 2004. They highlight the importance of the QRM disciplines and represent the latest developments, trends and progress, and are essential reference material for all reasearch academics, quality planners, maintenance executives and personnel who have the responsibility to implement the findings of quality audits and maintenance policy. Quality, Reliabilty, and Maintenance - be it in industry, commerce, education, or academia - influences and guides every contemporary aspect of our lives. This collection of papers includes topics such as: Quality Analysis Condition Monitoring Maintenance Management Computer Applications Education and Training Research Applications
Developments In Applied Artificial Intelligence
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Author : Ali Moonis
language : en
Publisher: Springer
Release Date : 2003-08-02
Developments In Applied Artificial Intelligence written by Ali Moonis and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-08-02 with Computers categories.
The refereed proceedings of the 16th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE 2003, held in Loughborough, UK, in June 2003. The 81 revised full papers presented were carefully reviewed and selected from more than 140 submissions. Among the topics addressed are soft computing, fuzzy logic, diagnosis, knowledge representation, knowledge management, automated reasoning, machine learning, planning and scheduling, evolutionary computation, computer vision, agent systems, algorithmic learning, tutoring systems, and financial analysis.
Machine Learning And Data Science Blueprints For Finance
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Author : Hariom Tatsat
language : en
Publisher: O'Reilly Media
Release Date : 2020
Machine Learning And Data Science Blueprints For Finance written by Hariom Tatsat and has been published by O'Reilly Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with Finance categories.
Machine learning and data science will significantly transform the finance industry in the next few years. With this practical guide, professionals at hedge funds, investment and retail banks, and fintech firms will learn how to build ML algorithms crucial to this industry. You'll examine ML concepts and over 20 case studies in supervised, unsupervised, and reinforcement learning, along with natural language processing (NLP).