Data Mining: Practical Machine Learning Tools and Techniques, Third Edition, offers a thorough grounding in machine learning concepts as well as practical advice on applying machine learning tools and techniques in real-world data mining situations. This highly anticipated third edition of the most acclaimed work on data mining and machine learning will teach you everything you need to know about preparing inputs, interpreting outputs, evaluating results, and the algorithmic methods at the heart of successful data mining. Thorough updates reflect the technical changes and modernizations that have taken place in the field since the last edition, including new material on Data Transformations, Ensemble Learning, Massive Data Sets, Multi-instance Learning, plus a new version of the popular Weka machine learning software developed by the authors. Witten, Frank, and Hall include both tried-and-true techniques of today as well as methods at the leading edge of contemporary research. The book is targeted at information systems practitioners, programmers, consultants, developers, information technology managers, specification writers, data analysts, data modelers, database R&amp;D professionals, data warehouse engineers, data mining professionals. The book will also be useful for professors and students of upper-level undergraduate and graduate-level data mining and machine learning courses who want to incorporate data mining as part of their data management knowledge base and expertise.

Data Mining: Practical Machine Learning Tools and Techniques (The Morgan Kaufmann Series in Data Management Systems)

Computers & Technology

Hall, Mark A.

Witten, Ian H.

Frank, Eibe

Computer Science

Morgan Kaufmann

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. It contains <ul>
<li>Powerpoint slides for Chapters 1 12. This is a very comprehensive teaching resource, with many PPT slides covering each chapter of the book</li>
<li>Online Appendix on the Weka workbench; again a very comprehensive learning aid for the open source software that goes with the book</li>
<li>Table of contents, highlighting the many new sections in the 4th edition, along with reviews of the 1st edition, errata, etc.</li>
</ul>
<ul>
<li>Provides a thorough grounding in machine learning concepts, as well as practical advice on applying the tools and techniques to data mining projects</li>
<li>Presents concrete tips and techniques for performance improvement that work by transforming the input or output in machine learning methods</li>
<li>Includes a downloadable WEKA software toolkit, a comprehensive collection of machine learning algorithms for data mining tasks in an easy to use interactive interface</li>
<li>Includes open access online courses that introduce practical applications of the material in the book</li>
</ul>

Data Mining: Practical Machine Learning Tools and Techniques (Morgan Kaufmann Series in Data Management Systems)

Pal, Christopher J.

A fresh and comprehensive exploration of how health care rationing decisions are made, this book offers not specific criteria for rationing--like age or quality of life--but a comparative analysis of three alternative decision makers: consumers paying out of pocket, government and insurance officials setting limits on treatments and coverage, and physicians making decisions at the bedside. Hall's analysis reveals that none of these alternatives is uniformly superior, and, therefore, a mix of all three is inevitable. The author develops his analysis along three lines of reasoning: political economics, ethics, and law. The economic dimension addresses the practical feasibility of each method for making spending decisions. The ethical dimension discusses several theories--principally classic liberalism, social contract theory, and communitarianism--as well as concepts like autonomy and coercion. The legal dimension follows recent developments in legal doctrine such as informed consent, insurance coverage disputes, and the emerging direction of federal regulation. Hall concludes that physician rationing at the bedside is far more promising than medical ethicists and the medical profession have traditionally allowed.

Making Medical Spending Decisions: The Law, Ethics, and Economics of Rationing Mechanisms

Business & Money

Economics

Oxford University Press

Medical advances have increased treatment options as well as costs, thus generating many new ethical problems. This authoritative discussion focuses on controlling medical costs while ensuring patient access; the legal structure of health care delivery; and the ethical issues in patient care decisions.

Health Care Law and Ethics in a Nutshell (Nutshell Series)

Medical Books

Ellman, Ira Mark

Strouse, Daniel S.

Medicine

West Academic

Health Care Law, Forensic Science, and Public Policy (Law School Casebook Series)

Kaye, D. H.

Curran, William J.

Rules & Procedures

Little,Brown & Co

The Charitable Tax Exemption

Colombo, John D.

Routledge

Data Mining: Practical Machine Learning Tools and Techniques

Foulds Ph.D., James

Health Care Law and Ethics is the definitive casebook for covering all aspects of the dynamic field of health care law, including thought-provoking discussions of topical and controversial subject such as gene patenting and DNA banks. Its relationship-oriented approach is accessible and builds logically from ethics of the patient/provider relationship through to state and institutional involvement in health care. Drawing on current and classic case law, this text is appropriate for survey and specialized law school classes on health care law. The three soft-bound "splits", covering medical malpractice and treatment relationships; bioethics and public health and regulation; and insurance law and corporate law, make the material readily adaptable for more specialized course focus. The Eighth Edition has been thoroughly updated and includes new material on all aspects of the controversial Affordable Care Act, new case law and discussion of legislative responses to developments in biotech, and updates for HIPPA and the international aspects of public health. Features: <ul>
<li> Comprehensive coverage of key areas of health care law, including: </li> <li> Health care reform. </li> <li> Federalism and constitutional issues. </li> <li> Consumer-driven health care and health savings accounts. </li> <li> Prescription drug coverage. </li> <li> Accountable care organizations. </li> <li> Medical malpractice reform. </li> <li> Physician aid in dying. </li> <li> Genetics. </li> <li> Integrates public health and ethics issues and features clear notes that provide context, smooth transitions between cases, and background information. </li> <li> Relationship-oriented organization flows from provider/patient to provider/patient/state to provider/state/institutions. </li> <li> Highly sophisticated yet accessible treatment of current case law, trends, and issues. </li> <li> Adaptable for survey or specialized courses. </li> <li> 3 soft-bound "splits" focus on coverage of: </li> <li> Medical malpractice and treatment relationships. </li> <li> Bioethics and public health. </li> <li> Regulation, insurance and corporate law. </li> </ul>
 The revised Eighth Edition has been thoroughly updated to include: <ul>
<li> Coverage of the Affordable Care Act, including: </li> <li> Overview and politics of enactment. </li> <li> Constitutional challenges. </li> <li> Insurance exchanges and regulation. </li> <li> Medicaid expansions and Medicare amendments. </li> <li> Accountable care organizations. </li> <li> Comparative effectiveness studies. </li> <li> Cost containment. </li> <li> Updated coverage of all topics, including end-of-life. </li> <li> Recent developments and case law in biotech, including: </li> <li> Stem-cell research (Sherley v. Sebelius). </li> <li> Patenting genes (Ass'n. for Molecular Pathology v. U.S. Patent and Trademark Office). </li> <li> DNA biobanks. </li> <li> New discussions of confidentiality and informed consent, including HIPPA coverage and enforcement, and research on DNA and biobanks. </li> <li> Legislative and judicial responses to posthumous reproduction and anonymity for gene donors, and the challenges of international reproductive tourism. </li> <li> Updated coverage of: </li> <li> PrEP (pre-exposure prophylaxis) for persons at risk for HIV infection. </li> <li> Public health measures and legislation related to obesity and nutrition. </li> <li> International aspects of public health, including the Millennium Goals, WHO reform, and efforts to improve global health governance. </li> </ul>

Health Care Law and Ethics

Bobinski, Mary Anne

Orentlicher, David

Administrative Law

Wolters Kluwer/Law & Business

As this book enter its fifth decade, we pause to reflect on the remarkable metamorphosis of health care law from a subspecialty of tort law to a mushrooming academic and practice field whose tentacles reach into myriad scholarly disciplines and areas of substantive law. Each of this book's five prior editions reflects an important stage in this evolutionary growth.

Business Culture

Aspen Law & Business

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