LEARNING FROM DATA

Download Learning From Data ebook PDF or Read Online books in PDF, EPUB, and Mobi Format. Click Download or Read Online button to LEARNING FROM DATA book pdf for free now.

Learning From Data

Author : Vladimir Cherkassky
ISBN : 0470140518
Genre : Computers
File Size : 58.81 MB
Format : PDF, ePub, Docs
Download : 926
Read : 1183

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

Author : Yaser S. Abu-Mostafa
ISBN : 1600490069
Genre : Machine learning
File Size : 87.38 MB
Format : PDF, ePub, Docs
Download : 372
Read : 1237

Category: Machine learning

Learning From Data

Author : Arthur Glenberg
ISBN : 9781136676628
Genre : Education
File Size : 31.55 MB
Format : PDF, Docs
Download : 769
Read : 626

Learning from Data focuses on how to interpret psychological data and statistical results. The authors review the basics of statistical reasoning to helpstudents better understand relevant data that affecttheir everyday lives. Numerous examples based on current research and events are featured throughout.To facilitate learning, authors Glenberg and Andrzejewski: Devote extra attention to explaining the more difficult concepts and the logic behind them Use repetition to enhance students’ memories with multiple examples, reintroductions of the major concepts, and a focus on these concepts in the problems Employ a six-step procedure for describing all statistical tests from the simplest to the most complex Provide end-of-chapter tables to summarize the hypothesis testing procedures introduced Emphasizes how to choose the best procedure in the examples, problems and endpapers Focus on power with a separate chapter and power analyses procedures in each chapter Provide detailed explanations of factorial designs, interactions, and ANOVA to help students understand the statistics used in professional journal articles. The third edition has a user-friendly approach: Designed to be used seamlessly with Excel, all of the in-text analyses are conducted in Excel, while the book’s CD contains files for conducting analyses in Excel, as well as text files that can be analyzed in SPSS, SAS, and Systat Two large, real data sets integrated throughout illustrate important concepts Many new end-of-chapter problems (definitions, computational, and reasoning) and many more on the companion CD Online Instructor’s Resources includes answers to all the exercises in the book and multiple-choice test questions with answers Boxed media reports illustrate key concepts and their relevance to realworld issues The inclusion of effect size in all discussions of power accurately reflects the contemporary issues of power, effect size, and significance. Learning From Data, Third Edition is intended as a text for undergraduate or beginning graduate statistics courses in psychology, education, and other applied social and health sciences.
Category: Education

Learning From Data Streams

Author : João Gama
ISBN : 9783540736783
Genre : Computers
File Size : 28.36 MB
Format : PDF, Kindle
Download : 734
Read : 1033

Provides the reader with an overview of stream data processing, including prototype implementations like the Nile system and the TinyOS operating system.
Category: Computers

The Health Care Data Guide

Author : Lloyd P. Provost
ISBN : 9780470902585
Genre : Medical
File Size : 73.42 MB
Format : PDF, ePub, Mobi
Download : 763
Read : 392

The Health Care Data Guide is designed to help students and professionals build a skill set specific to using data for improvement of health care processes and systems. Even experienced data users will find valuable resources among the tools and cases that enrich The Health Care Data Guide. Practical and step-by-step, this book spotlights statistical process control (SPC) and develops a philosophy, a strategy, and a set of methods for ongoing improvement to yield better outcomes. Provost and Murray reveal how to put SPC into practice for a wide range of applications including evaluating current process performance, searching for ideas for and determining evidence of improvement, and tracking and documenting sustainability of improvement. A comprehensive overview of graphical methods in SPC includes Shewhart charts, run charts, frequency plots, Pareto analysis, and scatter diagrams. Other topics include stratification and rational sub-grouping of data and methods to help predict performance of processes. Illustrative examples and case studies encourage users to evaluate their knowledge and skills interactively and provide opportunity to develop additional skills and confidence in displaying and interpreting data. Companion Web site: www.josseybass.com/go/provost
Category: Medical

Learning From Data

Author : Doug Fisher
ISBN : 9781461224044
Genre : Mathematics
File Size : 59.78 MB
Format : PDF, ePub, Docs
Download : 221
Read : 508

Ten years ago Bill Gale of AT&T Bell Laboratories was primary organizer of the first Workshop on Artificial Intelligence and Statistics. In the early days of the Workshop series it seemed clear that researchers in AI and statistics had common interests, though with different emphases, goals, and vocabularies. In learning and model selection, for example, a historical goal of AI to build autonomous agents probably contributed to a focus on parameter-free learning systems, which relied little on an external analyst's assumptions about the data. This seemed at odds with statistical strategy, which stemmed from a view that model selection methods were tools to augment, not replace, the abilities of a human analyst. Thus, statisticians have traditionally spent considerably more time exploiting prior information of the environment to model data and exploratory data analysis methods tailored to their assumptions. In statistics, special emphasis is placed on model checking, making extensive use of residual analysis, because all models are 'wrong', but some are better than others. It is increasingly recognized that AI researchers and/or AI programs can exploit the same kind of statistical strategies to good effect. Often AI researchers and statisticians emphasized different aspects of what in retrospect we might now regard as the same overriding tasks.
Category: Mathematics

Statistics Learning From Data

Author : Roxy Peck
ISBN : 9781337558082
Genre : Mathematics
File Size : 25.88 MB
Format : PDF, ePub, Docs
Download : 260
Read : 1151

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

Author : Beth Ann Haines
ISBN : 0805817859
Genre : Computers
File Size : 20.7 MB
Format : PDF, ePub, Docs
Download : 167
Read : 377

This manual supplements Learning from Data: An Introduction to Statistical Reasoning. The chapter organization of the manual corresponds to that of the textbook. Each chapter of the manual is in two parts. The first part contains answers to the end-of-chapter exercises in the textbook. The second part contains multiple-choice questions from which instructors can make up tests.
Category: Computers

Advanced Analytics With Spark

Author : Sandy Ryza
ISBN : 9781491972908
Genre : Computers
File Size : 28.74 MB
Format : PDF, ePub, Docs
Download : 276
Read : 562

In the second edition of this practical book, four Cloudera data scientists present a set of self-contained patterns for performing large-scale data analysis with Spark. The authors bring Spark, statistical methods, and real-world data sets together to teach you how to approach analytics problems by example. Updated for Spark 2.1, this edition acts as an introduction to these techniques and other best practices in Spark programming. You’ll start with an introduction to Spark and its ecosystem, and then dive into patterns that apply common techniques—including classification, clustering, collaborative filtering, and anomaly detection—to fields such as genomics, security, and finance. If you have an entry-level understanding of machine learning and statistics, and you program in Java, Python, or Scala, you’ll find the book’s patterns useful for working on your own data applications. With this book, you will: Familiarize yourself with the Spark programming model Become comfortable within the Spark ecosystem Learn general approaches in data science Examine complete implementations that analyze large public data sets Discover which machine learning tools make sense for particular problems Acquire code that can be adapted to many uses
Category: Computers

Learning From Data

Author : CTI Reviews
ISBN : 9781467278584
Genre : Education
File Size : 20.70 MB
Format : PDF, ePub, Mobi
Download : 866
Read : 1146

Facts101 is your complete guide to Learning From Data. In this book, you will learn topics such as as those in your book plus much more. With key features such as key terms, people and places, Facts101 gives you all the information you need to prepare for your next exam. Our practice tests are specific to the textbook and we have designed tools to make the most of your limited study time.
Category: Education