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Open Source Licensing

Author : Lawrence E. Rosen

Publisher : Prentice Hall

Page : 436 pages

File Size : 42,45 MB

Release : 2005

Category : Computers

ISBN :

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Book Description

"I have studied Rosen's book in detail and am impressed with its scope and content. I strongly recommend it to anybody interested in the current controversies surrounding open source licensing." --John Terpstra, Samba.org; cofounder, Samba-Team "Linux and open source software have forever altered the computing landscape. The important conversations no longer revolve around the technology but rather the business and legal issues. Rosen's book is must reading for anyone using or providing open source solutions." --Stuart Open Source Development Labs A Complete Guide to the Law of Open Source for Developers, Managers, and Lawyers Now that open source software is blossoming around the world, it is crucial to understand how open source licenses work--and their solid legal foundations. Open Source Initiative general counsel Lawrence Rosen presents a plain-English guide to open source law for developers, managers, users, and lawyers. Rosen clearly explains the intellectual property laws that support open source licensing, carefully reviews today's leading licenses, and helps you make the best choices for your project or organization. Coverage includes: Explanation of why the SCO litigation and other attacks won't derail open source Dispelling the myths of open source licensing Intellectual property law for nonlawyers: ownership and licensing of copyrights, patents, and trademarks "Academic licenses" BSD, MIT, Apache, and beyond The "reciprocal bargain" at the heart of the GPL Alternative licenses: Mozilla, CPL, OSL and AFL Benefits of open source, and the obligations and risks facing businesses that deploy open source software Choosing the right license: considering business models, product architecture, IP ownership, license compatibility issues, relicensing, and more Enforcing the terms and conditions of open source licenses Shared source, eventual source, and other alternative models to open source Protecting yourself against lawsuits



Licensing Sourcebook

Author :

Publisher :

Page : 348 pages

File Size : 25,43 MB

Release : 1998

Category : Health insurance

ISBN : 9780930868710

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Understanding Open Source and Free Software Licensing

Author : Andrew M. St. Laurent

Publisher : "O'Reilly Media, Inc."

Page : 208 pages

File Size : 46,78 MB

Release : 2004-08-16

Category : Business & Economics

ISBN : 0596005814

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Book Description

The book wraps up with a look at the legal effects--both positive and negative--of open source/free software licensing.



Merritt's Licensing Sourcebook

Author : Richard A. Morin

Publisher :

Page : 596 pages

File Size : 39,43 MB

Release : 1994

Category : Casualty insurance

ISBN : 9780930868727

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Intellectual Property and Open Source

Author : Van Lindberg

Publisher : "O'Reilly Media, Inc."

Page : 394 pages

File Size : 30,74 MB

Release : 2008-07-15

Category : Computers

ISBN : 1449391109

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Book Description

"Clear, correct, and deep, this is a welcome addition to discussions of law and computing for anyone -- even lawyers!"-- Lawrence Lessig, Professor of Law at Stanford Law School and founder of the Stanford Center for Internet and Society If you work in information technology, intellectual property is central to your job -- but dealing with the complexities of the legal system can be mind-boggling. This book is for anyone who wants to understand how the legal system deals with intellectual property rights for code and other content. You'll get a clear look at intellectual property issues from a developer's point of view, including practical advice about situations you're likely to encounter. Written by an intellectual property attorney who is also a programmer, Intellectual Property and Open Source helps you understand patents, copyrights, trademarks, trade secrets, and licenses, with special focus on the issues surrounding open source development and the GPL. This book answers questions such as: How do open source and intellectual property work together? What are the most important intellectual property-related issues when starting a business or open source project? How should you handle copyright, licensing and other issues when accepting a patch from another developer? How can you pursue your own ideas while working for someone else? What parts of a patent should be reviewed to see if it applies to your work? When is your idea a trade secret? How can you reverse engineer a product without getting into trouble? What should you think about when choosing an open source license for your project? Most legal sources are too scattered, too arcane, and too hard to read. Intellectual Property and Open Source is a friendly, easy-to-follow overview of the law that programmers, system administrators, graphic designers, and many others will find essential.



Proofs from THE BOOK

Author : Martin Aigner

Publisher : Springer Science & Business Media

Page : 194 pages

File Size : 20,79 MB

Release : 2013-06-29

Category : Mathematics

ISBN : 3662223430

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Book Description

According to the great mathematician Paul Erdös, God maintains perfect mathematical proofs in The Book. This book presents the authors candidates for such "perfect proofs," those which contain brilliant ideas, clever connections, and wonderful observations, bringing new insight and surprising perspectives to problems from number theory, geometry, analysis, combinatorics, and graph theory. As a result, this book will be fun reading for anyone with an interest in mathematics.



Interpretable Machine Learning

Author : Christoph Molnar

Publisher : Lulu.com

Page : 320 pages

File Size : 42,57 MB

Release : 2020

Category : Computers

ISBN : 0244768528

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Book Description

This book is about making machine learning models and their decisions interpretable. After exploring the concepts of interpretability, you will learn about simple, interpretable models such as decision trees, decision rules and linear regression. Later chapters focus on general model-agnostic methods for interpreting black box models like feature importance and accumulated local effects and explaining individual predictions with Shapley values and LIME. All interpretation methods are explained in depth and discussed critically. How do they work under the hood? What are their strengths and weaknesses? How can their outputs be interpreted? This book will enable you to select and correctly apply the interpretation method that is most suitable for your machine learning project.