Автор: Foster Provost Название: Data Science For Business: What You Need To Know About Data Mining And Dataanalytic Thinking ISBN: 1449361323 ISBN-13(EAN): 9781449361327 Издательство: Wiley Рейтинг: Цена: 6334.00 р. Наличие на складе: Есть (1 шт.) Описание: This broad, deep, but not-too-technical guide introduces you to the fundamental principles of data science and walks you through the "data-analytic thinking" necessary for extracting useful knowledge and business value from the data you collect.
Data Mining: Practical Machine Learning Tools and Techniques, Fourth Edition, offers a thorough grounding in machine learning concepts, along with practical advice on applying these tools and techniques in real-world data mining situations. This highly anticipated fourth edition of the most acclaimed work on data mining and machine learning teaches readers everything they need to know to get going, from preparing inputs, interpreting outputs, evaluating results, to the algorithmic methods at the heart of successful data mining approaches.
Extensive updates reflect the technical changes and modernizations that have taken place in the field since the last edition, including substantial new chapters on probabilistic methods and on deep learning. Accompanying the book is a new version of the popular WEKA machine learning software from the University of Waikato. Authors Witten, Frank, Hall, and Pal include today's techniques coupled with the methods at the leading edge of contemporary research.
Please visit the book companion website at https: //www.cs.waikato.ac.nz/ ml/weka/book.html.
It contains
Powerpoint slides for Chapters 1-12. This is a very comprehensive teaching resource, with many PPT slides covering each chapter of the book
Online Appendix on the Weka workbench; again a very comprehensive learning aid for the open source software that goes with the book
Table of contents, highlighting the many new sections in the 4th edition, along with reviews of the 1st edition, errata, etc.
Provides a thorough grounding in machine learning concepts, as well as practical advice on applying the tools and techniques to data mining projects
Presents concrete tips and techniques for performance improvement that work by transforming the input or output in machine learning methods
Includes a downloadable WEKA software toolkit, a comprehensive collection of machine learning algorithms for data mining tasks-in an easy-to-use interactive interface
Includes open-access online courses that introduce practical applications of the material in the book
Preface.- Introduction-Have We Opened Pandora's Box?.- Lost Robustness.- How and Why Our Conventional Economic Thinking Causes Global Crises.- "Networked Minds" Require A Fundamentally New Kind of Economics.- A New Kind of Economy is Born-Social Decision-Makers Beat the "Homo Economicus".- Global Networks Must Be Redesigned.- Big Data-A Powerful New Resource for the 21st Century8.- Google as God? Opportunities and Risks of the Information Age.- From Technology-Driven Society to Socially Oriented Technology: The Future of Information Society-Alternatives to Surveillance.- Big Data Society: Age of Reputation or Age of Discrimination?.- Big Data, Privacy, and Trusted Web: What Needs to Be Done.- What the Digital Revolution Means for Us.- Creating ("Making") a Planetary Nervous System as Citizen Web.
Автор: Cao Название: Data Science Thinking ISBN: 3319950916 ISBN-13(EAN): 9783319950914 Издательство: Springer Рейтинг: Цена: 10480.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
This book explores answers to the fundamental questions driving the research, innovation and practices of the latest revolution in scientific, technological and economic development: how does data science transform existing science, technology, industry, economy, profession and education? How does one remain competitive in the data science field? What is responsible for shaping the mindset and skillset of data scientists?
Data Science Thinking paints a comprehensive picture of data science as a new scientific paradigm from the scientific evolution perspective, as data science thinking from the scientific-thinking perspective, as a trans-disciplinary science from the disciplinary perspective, and as a new profession and economy from the business perspective.
Описание: While several market-leading companies have successfully transformed through data- and AI-driven approaches to business, the vast majority have yet to reap the benefits. This practical guide presents a battle-tested method to help you translate business decisions into tractable descriptive, predictive, and prescriptive problems.
Автор: Kowalski Название: Computational Logic and Human Thinking ISBN: 0521123364 ISBN-13(EAN): 9780521123365 Издательство: Cambridge Academ Рейтинг: Цена: 6019.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Robert Kowalski demonstrates how ordinary people in their everyday life can profit from the advances of computational logic that have been developed for artificial intelligence. This book is an eye-opening read for any student who employs practical thinking, problem solving and communication skills.
Автор: Levesque Hector J. Название: Thinking as Computation: A First Course ISBN: 0262016990 ISBN-13(EAN): 9780262016995 Издательство: MIT Press Рейтинг: Цена: 4967.00 р. Наличие на складе: Нет в наличии.
Описание: Students explore the idea that thinking is a form of computation by learning to write simple computer programs for tasks that require thought.
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