Search results for: learning-from-data

Learning from Data

Author : Yaser S. Abu-Mostafa
File Size : 80.38 MB
Format : PDF, ePub, Mobi
Download : 249
Read : 363
Download »

Learning from Data

Author : Vladimir Cherkassky
File Size : 39.25 MB
Format : PDF, ePub, Mobi
Download : 541
Read : 155
Download »
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.

Scientific Inference

Author : Simon Vaughan
File Size : 78.45 MB
Format : PDF
Download : 462
Read : 706
Download »
Providing the knowledge and practical experience to begin analysing scientific data, this book is ideal for physical sciences students wishing to improve their data handling skills. The book focuses on explaining and developing the practice and understanding of basic statistical analysis, concentrating on a few core ideas, such as the visual display of information, modelling using the likelihood function, and simulating random data. Key concepts are developed through a combination of graphical explanations, worked examples, example computer code and case studies using real data. Students will develop an understanding of the ideas behind statistical methods and gain experience in applying them in practice. Further resources are available at www.cambridge.org/9781107607590, including data files for the case studies so students can practise analysing data, and exercises to test students' understanding.

Statistics

Author : Alan Agresti
File Size : 32.50 MB
Format : PDF, ePub, Mobi
Download : 819
Read : 1119
Download »
For courses in introductory statistics. The Art and Science of Learning from Data Statistics: The Art and Science of Learning from Data, Fourth Edition, takes a conceptual approach, helping students understand what statistics is about and learning the right questions to ask when analyzing data, rather than just memorizing procedures. This book takes the ideas that have turned statistics into a central science in modern life and makes them accessible, without compromising the necessary rigor. Students will enjoy reading this book, and will stay engaged with its wide variety of real-world data in the examples and exercises. The authors believe that it's important for students to learn and analyze both quantitative and categorical data. As a result, the text pays greater attention to the analysis of proportions than many other introductory statistics texts. Concepts are introduced first with categorical data, and then with quantitative data. Also available with MyStatLab MyStatLab(tm) is an online homework, tutorial, and assessment program designed to work with this text to engage students and improve results. Within its structured environment, students practice what they learn, test their understanding, and pursue a personalized study plan that helps them absorb course material and understand difficult concepts. For this edition, new web apps with complementary exercises, a tightly integrated video program, and strong exercise coverage enhance student learning. Note: You are purchasing a standalone product; MyLab(tm)& Mastering(tm) does not come packaged with this content. Students, if interested in purchasing this title with MyLab & Mastering, ask your instructor for the correct package ISBN and Course ID. Instructors, contact your Pearson representative for more information. If you would like to purchase boththe physical text and MyLab & Mastering, search for: 0134101677 / 9780134101675 * Statistics Plus New MyStatLab with Pearson eText -- Access Card Package Package consists of: 0321847997 / 9780321847997 * My StatLab Glue-in Access Card 032184839X / 9780321848390 * MyStatLab Inside Sticker for Glue-In Packages 0321997832 / 9780321997838 * Statistics: The Art and Science of Learning from Data

The Art of Statistics

Author : David Spiegelhalter
File Size : 89.76 MB
Format : PDF
Download : 694
Read : 679
Download »
'A statistical national treasure' Jeremy Vine, BBC Radio 2 'Required reading for all politicians, journalists, medics and anyone who tries to influence people (or is influenced) by statistics. A tour de force' Popular Science Do busier hospitals have higher survival rates? How many trees are there on the planet? Why do old men have big ears? David Spiegelhalter reveals the answers to these and many other questions - questions that can only be addressed using statistical science. Statistics has played a leading role in our scientific understanding of the world for centuries, yet we are all familiar with the way statistical claims can be sensationalised, particularly in the media. In the age of big data, as data science becomes established as a discipline, a basic grasp of statistical literacy is more important than ever. In The Art of Statistics, David Spiegelhalter guides the reader through the essential principles we need in order to derive knowledge from data. Drawing on real world problems to introduce conceptual issues, he shows us how statistics can help us determine the luckiest passenger on the Titanic, whether serial killer Harold Shipman could have been caught earlier, and if screening for ovarian cancer is beneficial. 'Shines a light on how we can use the ever-growing deluge of data to improve our understanding of the world' Nature

Learning From Data

Author : Arthur Glenberg
File Size : 41.91 MB
Format : PDF, Docs
Download : 224
Read : 968
Download »
Learning from Data reviews the basics of statistical reasoning to help students understand psychological data that affect their lives. To facilitate learning the authors devote extra attention to explaining the difficult concepts, use repetition to enhance memory and illustrate concepts with numerous examples. A six-step procedure helps students apply all statistical tests, from simple to complex. The authors emphasize how to choose the best statistical procedure in the text, the examples and the problems. Intended for undergraduate or graduate statistics courses in psychology, education, and other applied social and health sciences.

Learning from Data

Author : Doug Fisher
File Size : 50.93 MB
Format : PDF, Kindle
Download : 209
Read : 281
Download »
This volume contains a revised collection of papers originally presented at the Fifth International Workshop on Artificial Intelligence and Statistics in 1995. The topics represented in this volume are diverse, and include natural language application causality and graphical models, classification, learning, knowledge discovery, and exploratory data analysis. The chapters illustrate the rich possibilities for interdisciplinary study at the interface of artificial intelligence and statistics. The chapters vary in the background that they assume, but moderate familiarity with techniques of artificial intelligence and statistics is desirable in most cases.

Learning From Data

Author : Arthur Glenberg
File Size : 57.19 MB
Format : PDF
Download : 796
Read : 672
Download »
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

Learning from Data

Author : IntroBooks Team
File Size : 61.61 MB
Format : PDF, ePub
Download : 197
Read : 455
Download »
Learning from Data is the concept which has developed recently. Data is a concept which is raw in nature and it has been given meaning only after compilation and currently, after globalization. The amount of data in all the sectors have grown enormously. Learning from Data is a very popular concept now as companies are saving data only to extract and make analysis out of the same on which various other factors are dependent. The other factors are majorly competitive basis and help big tier companies to study the market and grow even more in the present competitive era. With so much data around, another important aspect is the protection of data. To make use of data, the next major factor is its protection as since the competition exists in all fields; the data field is no exception. Data is the current trending concept all over the globe and research over the same will undoubtedly fetch more of analysis.

Learning from Data Streams

Author : João Gama
File Size : 28.43 MB
Format : PDF, ePub
Download : 695
Read : 570
Download »
Provides the reader with a comprehensive overview of stream data processing, including famous prototype implementations like the Nile system and the TinyOS operating system. It covers the state-of-the- art in data stream mining approaches using clustering, predictive learning and tensor analysis techniques, and more.

Recent Trends in Learning From Data

Author : Luca Oneto
File Size : 85.7 MB
Format : PDF, Docs
Download : 868
Read : 1322
Download »
This book offers a timely snapshot and extensive practical and theoretical insights into the topic of learning from data. Based on the tutorials presented at the INNS Big Data and Deep Learning Conference, INNSBDDL2019, held on April 16-18, 2019, in Sestri Levante, Italy, the respective chapters cover advanced neural networks, deep architectures, and supervised and reinforcement machine learning models. They describe important theoretical concepts, presenting in detail all the necessary mathematical formalizations, and offer essential guidance on their use in current big data research.

Learning from Data Streams in Dynamic Environments

Author : Moamar Sayed-Mouchaweh
File Size : 72.81 MB
Format : PDF, Mobi
Download : 518
Read : 186
Download »
This book addresses the problems of modeling, prediction, classification, data understanding and processing in non-stationary and unpredictable environments. It presents major and well-known methods and approaches for the design of systems able to learn and to fully adapt its structure and to adjust its parameters according to the changes in their environments. Also presents the problem of learning in non-stationary environments, its interests, its applications and challenges and studies the complementarities and the links between the different methods and techniques of learning in evolving and non-stationary environments.

Learning s from Data Storage

Author :
File Size : 63.51 MB
Format : PDF, ePub
Download : 477
Read : 963
Download »

Utility Based Learning from Data

Author : Craig Friedman
File Size : 37.50 MB
Format : PDF, ePub, Docs
Download : 100
Read : 1065
Download »
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 t

Learning from Data Streams in Evolving Environments

Author : Moamar Sayed-Mouchaweh
File Size : 68.21 MB
Format : PDF, Kindle
Download : 864
Read : 1188
Download »
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.

Learning from Data Streams in Dynamic Environments

Author : Moamar Sayed-Mouchaweh
File Size : 60.9 MB
Format : PDF, ePub, Docs
Download : 664
Read : 586
Download »
This book addresses the problems of modeling, prediction, classification, data understanding and processing in non-stationary and unpredictable environments. It presents major and well-known methods and approaches for the design of systems able to learn and to fully adapt its structure and to adjust its parameters according to the changes in their environments. Also presents the problem of learning in non-stationary environments, its interests, its applications and challenges and studies the complementarities and the links between the different methods and techniques of learning in evolving and non-stationary environments.

Statistics Learning from Data

Author : Roxy Peck
File Size : 28.73 MB
Format : PDF, Docs
Download : 875
Read : 1061
Download »
STATISTICS: LEARNING FROM DATA, by respected and successful author Roxy Peck, resolves common problems faced by both students and instructors with an innovative approach to elementary statistics. Peck tackles the areas students struggle with most--probability, hypothesis testing, and selecting an appropriate method of analysis--unlike any text on the market. Probability coverage is based on current research that shows how students best learn the subject. Two unique chapters, one on statistical inference and another on learning from experiment data, address two common areas of student confusion: choosing a particular inference method and using inference methods with experimental data. Supported by learning objectives, real-data examples and exercises, and technology notes, this brand new text guides students in gaining 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.

Statistics

Author : Olsen Peck
File Size : 39.74 MB
Format : PDF
Download : 239
Read : 1067
Download »

Student s Solutions Manual for Statistics

Author : Sarah Streett
File Size : 61.82 MB
Format : PDF, Mobi
Download : 359
Read : 772
Download »
This manual contains completely worked-out solutions for all the odd-numbered exercises in the text.

Learning from Data

Author : Arthur M. Glenberg
File Size : 28.13 MB
Format : PDF, Kindle
Download : 974
Read : 1267
Download »
Learning from Data focuses on how to interpret psychological data and statistical results. The authors review the basics of statistical reasoning to help students better understand relevant data that affect their 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 memory 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. Emphasize how to choose the best procedure, with a discussion of procedure choice in the examples, problems that require choosing the procedure, and endpapers that provide guidelines for choosing procedures. Focus on power with a separate chapter and power analyses procedures in each chapter. Discuss the rationale for why emphasizing random sampling from populations is emphasized in the classroom but not in actual experiments. Provide detailed explanations of factorial designs, interactions, and ANOVA to help students understand the statistics used in professional journal articles. The new edition features a more 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 one focusing on the effectiveness of Zyban and gum on smoking and the other on the effects of children on marriage"