LEARNING FROM DATA PDF

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Statistics Learning From Data

Author : Roxy Peck
ISBN : 9781337672153
Genre : Mathematics
File Size : 82.44 MB
Format : PDF, Kindle
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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

Using Data To Improve Student Learning In School Districts

Author : Victoria Bernhardt
ISBN : 9781317922841
Genre : Education
File Size : 30.86 MB
Format : PDF, Mobi
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This book helps you make sense of the data your school district collects, including state student achievement results as well as other qualitative and quantitative data. Easy-to-use templates, tools, and examples are available on the accompanying CD-ROM.
Category: Education

Using Data To Improve Student Learning In Elementary School

Author : Victoria Bernhardt
ISBN : 9781317922766
Genre : Education
File Size : 80.95 MB
Format : PDF, Mobi
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This book helps you make sense of the data your school collects, including state student achievement results as well as other qualitative and quantitative data. Easy-to-use templates, tools, and examples are available on the accompanying CD-ROM.
Category: Education

Using Data To Improve Student Learning In Middle School

Author : Victoria Bernhardt
ISBN : 9781317922797
Genre : Education
File Size : 29.52 MB
Format : PDF, Mobi
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This book helps you make sense of the data your school collects, including state student achievement results as well as other qualitative and quantitative data. Easy-to-use templates, tools, and examples are available on the accompanying CD-ROM.
Category: Education

Advances In Machine Learning And Cybernetics

Author : Daniel S. Yeung
ISBN : 9783540335849
Genre : Computers
File Size : 35.37 MB
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This book constitutes the thoroughly refereed post-proceedings of the 4th International Conference on Machine Learning and Cybernetics, ICMLC 2005, held in Guangzhou, China in August 2005. The 114 revised full papers of this volume are organized in topical sections on agents and distributed artificial intelligence, control, data mining and knowledge discovery, fuzzy information processing, learning and reasoning, machine learning applications, neural networks and statistical learning methods, pattern recognition, vision and image processing.
Category: Computers

Learning From Data Streams

Author : João Gama
ISBN : 9783540736783
Genre : Computers
File Size : 35.85 MB
Format : PDF, Kindle
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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

Using Data To Improve Student Learning In High Schools

Author : Victoria L. Bernhardt
ISBN : 9781596670044
Genre : Education
File Size : 64.57 MB
Format : PDF, Mobi
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A method for utilizing state student achievement results and other qualitative and quantitative data is accompanied by easy-to-use templates, tools, and examples on the accompanying CD-ROM.
Category: Education

Learning Ios Forensics

Author : Mattia Epifani
ISBN : 9781783553525
Genre : Computers
File Size : 80.26 MB
Format : PDF, ePub
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If you are a digital forensics examiner daily involved in the acquisition and analysis of mobile devices and want to have a complete overview of how to perform your work on iOS devices, this book is definitely for you.
Category: Computers

Active Learning

Author : Burr Settles
ISBN : 9781608457250
Genre : Computers
File Size : 66.69 MB
Format : PDF, ePub, Docs
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The key idea behind active learning is that a machine learning algorithm can perform better with less training if it is allowed to choose the data from which it learns. An active learner may pose "queries," usually in the form of unlabeled data instances to be labeled by an "oracle" (e.g., a human annotator) that already understands the nature of the problem. This sort of approach is well-motivated in many modern machine learning and data mining applications, where unlabeled data may be abundant or easy to come by, but training labels are difficult, time-consuming, or expensive to obtain. This book is a general introduction to active learning. It outlines several scenarios in which queries might be formulated, and details many query selection algorithms which have been organized into four broad categories, or "query selection frameworks." We also touch on some of the theoretical foundations of active learning, and conclude with an overview of the strengths and weaknesses of these approaches in practice, including a summary of ongoing work to address these open challenges and opportunities. Table of Contents: Automating Inquiry / Uncertainty Sampling / Searching Through the Hypothesis Space / Minimizing Expected Error and Variance / Exploiting Structure in Data / Theory / Practical Considerations
Category: Computers