LEARNING FROM DATA PDF

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Learning From Data

Author : Yaser S. Abu-Mostafa
ISBN : 1600490069
Genre : Machine learning
File Size : 48.69 MB
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Category: Machine learning

Statistics Learning From Data

Author : Roxy Peck
ISBN : 9781337672153
Genre : Mathematics
File Size : 34.10 MB
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STATISTICS: LEARNING FROM DATA, Second Edition, addresses common problems faced by learners of elementary statistics with an innovative approach. The authors have paid particular attention to areas learners often struggle with -- probability, hypothesis testing, and selecting an appropriate method of analysis. Probability coverage is based on current research on how students best learn the subject. A unique chapter that provides an informal introduction to the ideas of statistical inference helps students to develop a framework for choosing an appropriate method. Supported by learning objectives, real-data examples and exercises, and technology notes, this book helps learners to develop conceptual understanding, mechanical proficiency, and the ability to put knowledge into practice. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.
Category: Mathematics

Learning From Data Streams In Evolving Environments

Author : Moamar Sayed-Mouchaweh
ISBN : 9783319898032
Genre : Technology & Engineering
File Size : 55.50 MB
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This edited book covers recent advances of techniques, methods and tools treating the problem of learning from data streams generated by evolving non-stationary processes. The goal is to discuss and overview the advanced techniques, methods and tools that are dedicated to manage, exploit and interpret data streams in non-stationary environments. The book includes the required notions, definitions, and background to understand the problem of learning from data streams in non-stationary environments and synthesizes the state-of-the-art in the domain, discussing advanced aspects and concepts and presenting open problems and future challenges in this field. Provides multiple examples to facilitate the understanding data streams in non-stationary environments; Presents several application cases to show how the methods solve different real world problems; Discusses the links between methods to help stimulate new research and application directions.
Category: Technology & Engineering

Data Science F R Dummies

Author : Lillian Pierson
ISBN : 9783527806751
Genre : Mathematics
File Size : 87.31 MB
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Daten, Daten, Daten? Sie haben schon Kenntnisse in Excel und Statistik, wissen aber noch nicht, wie all die Datensätze helfen sollen, bessere Entscheidungen zu treffen? Von Lillian Pierson bekommen Sie das dafür notwendige Handwerkszeug: Bauen Sie Ihre Kenntnisse in Statistik, Programmierung und Visualisierung aus. Nutzen Sie Python, R, SQL, Excel und KNIME. Zahlreiche Beispiele veranschaulichen die vorgestellten Methoden und Techniken. So können Sie die Erkenntnisse dieses Buches auf Ihre Daten übertragen und aus deren Analyse unmittelbare Schlüsse und Konsequenzen ziehen.
Category: Mathematics

Utility Based Learning From Data

Author : Craig Friedman
ISBN : 1420011286
Genre : Computers
File Size : 26.12 MB
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Utility-Based Learning from Data provides a pedagogical, self-contained discussion of probability estimation methods via a coherent approach from the viewpoint of a decision maker who acts in an uncertain environment. This approach is motivated by the idea that probabilistic models are usually not learned for their own sake; rather, they are used to make decisions. Specifically, the authors adopt the point of view of a decision maker who (i) operates in an uncertain environment where the consequences of every possible outcome are explicitly monetized, (ii) bases his decisions on a probabilistic model, and (iii) builds and assesses his models accordingly. These assumptions are naturally expressed in the language of utility theory, which is well known from finance and decision theory. By taking this point of view, the book sheds light on and generalizes some popular statistical learning approaches, connecting ideas from information theory, statistics, and finance. It strikes a balance between rigor and intuition, conveying the main ideas to as wide an audience as possible.
Category: Computers

Data Mining

Author : Ian H. Witten
ISBN : 3446215336
Genre :
File Size : 82.94 MB
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The Health Care Data Guide

Author : Lloyd P. Provost
ISBN : 9781118085882
Genre : Medical
File Size : 41.53 MB
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The Health Care Data Guide is designed to help students andprofessionals build a skill set specific to using data forimprovement of health care processes and systems. Even experienceddata users will find valuable resources among the tools and casesthat enrich The Health Care Data Guide. Practical and step-by-step,this book spotlights statistical process control (SPC) and developsa philosophy, a strategy, and a set of methods for ongoingimprovement to yield better outcomes. Provost and Murray reveal how to put SPC into practice for awide range of applications including evaluating current processperformance, searching for ideas for and determining evidence ofimprovement, and tracking and documenting sustainability ofimprovement. A comprehensive overview of graphical methods in SPCincludes Shewhart charts, run charts, frequency plots, Paretoanalysis, and scatter diagrams. Other topics include stratificationand rational sub-grouping of data and methods to help predictperformance of processes. Illustrative examples and case studies encourage users toevaluate their knowledge and skills interactively and provideopportunity to develop additional skills and confidence indisplaying and interpreting data. Companion Web site: www.josseybass.com/go/provost
Category: Medical

Learning From Data

Author : Vladimir Cherkassky
ISBN : 0470140518
Genre : Computers
File Size : 53.90 MB
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An interdisciplinary framework for learning methodologies—covering statistics, neural networks, and fuzzy logic, this book provides a unified treatment of the principles and methods for learning dependencies from data. It establishes a general conceptual framework in which various learning methods from statistics, neural networks, and fuzzy logic can be applied—showing that a few fundamental principles underlie most new methods being proposed today in statistics, engineering, and computer science. Complete with over one hundred illustrations, case studies, and examples making this an invaluable text.
Category: Computers

Learning From Data Streams

Author : João Gama
ISBN : 9783540736783
Genre : Computers
File Size : 36.2 MB
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Provides the reader with an overview of stream data processing, including prototype implementations like the Nile system and the TinyOS operating system.
Category: Computers