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Author: Nicholas Hagger
Publisher: Element Books, Limited
ISBN:
Category : Philosophy
Languages : en
Pages : 188
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Book Description
This work questions the tradition of philosophy since 1910, when promising developments were obliterated by damaging materialistic philosophy, and through Universalism offers a way forward for contemporary philosophy. The book is divided into three parts: Part I outlines the metaphysical universe and challenges the materialistic outlook; Part II redefines the place of Universalism in philosophy, challenges philosophy since 1910 and approaches a theory of everything; and Part III challenges secular culture.
Author: Nicholas Hagger
Publisher: Element Books, Limited
ISBN:
Category : Philosophy
Languages : en
Pages : 188
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Book Description
This work questions the tradition of philosophy since 1910, when promising developments were obliterated by damaging materialistic philosophy, and through Universalism offers a way forward for contemporary philosophy. The book is divided into three parts: Part I outlines the metaphysical universe and challenges the materialistic outlook; Part II redefines the place of Universalism in philosophy, challenges philosophy since 1910 and approaches a theory of everything; and Part III challenges secular culture.
Author: Safiya Umoja Noble
Publisher: NYU Press
ISBN: 1479837245
Category : Computers
Languages : en
Pages : 245
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Book Description
Acknowledgments -- Introduction: the power of algorithms -- A society, searching -- Searching for Black girls -- Searching for people and communities -- Searching for protections from search engines -- The future of knowledge in the public -- The future of information culture -- Conclusion: algorithms of oppression -- Epilogue -- Notes -- Bibliography -- Index -- About the author
Author: Thomas H. Cormen
Publisher: MIT Press
ISBN: 0262258102
Category : Computers
Languages : en
Pages : 1313
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Book Description
The latest edition of the essential text and professional reference, with substantial new material on such topics as vEB trees, multithreaded algorithms, dynamic programming, and edge-based flow. Some books on algorithms are rigorous but incomplete; others cover masses of material but lack rigor. Introduction to Algorithms uniquely combines rigor and comprehensiveness. The book covers a broad range of algorithms in depth, yet makes their design and analysis accessible to all levels of readers. Each chapter is relatively self-contained and can be used as a unit of study. The algorithms are described in English and in a pseudocode designed to be readable by anyone who has done a little programming. The explanations have been kept elementary without sacrificing depth of coverage or mathematical rigor. The first edition became a widely used text in universities worldwide as well as the standard reference for professionals. The second edition featured new chapters on the role of algorithms, probabilistic analysis and randomized algorithms, and linear programming. The third edition has been revised and updated throughout. It includes two completely new chapters, on van Emde Boas trees and multithreaded algorithms, substantial additions to the chapter on recurrence (now called “Divide-and-Conquer”), and an appendix on matrices. It features improved treatment of dynamic programming and greedy algorithms and a new notion of edge-based flow in the material on flow networks. Many exercises and problems have been added for this edition. The international paperback edition is no longer available; the hardcover is available worldwide.
Author: Derral Eves
Publisher: John Wiley & Sons
ISBN: 1119716020
Category : Business & Economics
Languages : en
Pages : 355
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Book Description
The Wall Street Journal bestseller! Comes with free online companion course Learn the secrets to getting dramatic results on YouTube Derral Eves has generated over 60 billion views on YouTube and helped 24 channels grow to one million subscribers from zero. In The YouTube Formula: How Anyone Can Unlock the Algorithm to Drive Views, Build an Audience, and Grow Revenue, the owner of the largest YouTube how-to channel provides the secrets to getting the results that every YouTube creator and strategist wants. Eves will reveal what readers can't get anywhere else: the inner workings of the YouTube algorithm that's responsible for determining success on the platform, and how creators can use it to their advantage. Full of actionable advice and concrete strategies, this book teaches readers how to: Launch a channel Create life-changing content Drive rapid view and subscriber growth Build a brand and increase engagement Improve searchability Monetize content and audience Replete with case studies and information from successful YouTube creators, The YouTube Formula is perfect for any creator, entrepreneur, social media strategist, and brand manager who hopes to see real commercial results from their work on the platform.
Author: Marek Kowalkiewicz
Publisher: Simon and Schuster
ISBN: 8196754795
Category : Technology & Engineering
Languages : en
Pages : 253
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Book Description
‘A damn well-written book . . . a thrilling, entertaining whirlwind tour of different AI algorithms and their industry applications.’ —Tobias Lange, Senior Vice President, Siemens Digital Industries Software Welcome to the economy of algorithms. It’s here and it’s growing. In the past few years, we have been flooded with examples of impressive technology. Algorithms have been around for hundreds of years, but they have only recently begun to ‘escape’ our understanding. We are so impressed by what they can do that we give them a lot of agency. But because they are so hard to comprehend, this leads to all kinds of unintended consequences. In the twentieth century, we had the economy of corporations. In the first two decades of the twenty-first century, we saw the emergence of the economy of people, otherwise known as the digital economy, enabled by the internet. Now we’re seeing a new economy take shape: the economy of algorithms. – How can we use algorithms to automate the boring parts of our jobs, enhance decision-making and drive innovation? – Where is the line between algorithmic ‘help’ and surveillance? – Can an algorithm take your job? – How do you advertise to a fridge? – Do algorithms dream of electric sheep? – Why is it so hard to predict where technology will go next? These questions and more are answered by this exciting and ground-breaking book, which includes nine rules for flourishing in the new economy of algorithms.
Author: Ancient Philosophy
Publisher: Ancient Philosophy
ISBN:
Category : Science
Languages : en
Pages : 184
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Book Description
There are many attempts to explain the existence of the universe. Even the observable universe around us is filled with unknowns and numerous unexplainable phenomena, let alone the unobservable universe. Each and every theory proposed is just trying to find an explanation for the existence of the observable universe around us, ignoring the fact that it is potentially possible there is an invisible universe which reveals itself as we find newer ways to observe it. We need to first and foremost be able to abstract this universe as we observe it to be just a representation of something else underneath that is projected as this world around us by our descriptive thoughts. Then and only then can we find an explanation that is inclusive of everything that the universe is. As far as we search for the origin of just these appearances of descriptive thoughts, we will only dabble with physics, chemistry, mathematics and computations. It should be recognised that Wolfram introduces a very good concept. Simple things recurse to form complex worlds. But this without the correct transformation remains simply a recognisable pattern. How does this recognisable pattern go on to become this complex appearance of reality that we observe around us is up in the air. The ancient Sanskrit literature has an in-depth explanation of how this reality around us works and how it has come to be this. It just needs the correct context around which to translate these texts to understand it. For a long time I wondered what would be the best way to explain the algorithm of the universe as seen by the ancients and explained in the Sanskrit literature. I could explain it by using translation of the Sanskrit verses in a certain order. But I find that they do not take the reader on the journey that is necessary to understand and form the correct thoughts to understand the working of and creation of this reality around us. I thought I would write it as a description of astrology i.e., jyothiSha which, if we look at from the ancient view, is actually a science that tells us how to control the distribution of seeking which drives the formation of this reality around us and hence control this reality itself. But, I find that the term has been highly mangled with all sorts of meaning associated with it. I find, even if there was a very beautiful science explained it becomes very difficult to break these pre-conceived perceptions to get the reader to read objectively and understand. Finally, I have decided the best way is to use the computers that we have created and the AI algorithms that we are trying to code as the best way to describe it, because this was my primary driver to want to understand the Sanskrit literature and to debug the working of the universe. The underlying curiosity to understand why and how the AI that we write does not even seem to be a “fake imitation” of the working of the universe around us. The underlying curiosity to understand how this reality around me is so completely immersive while the virtual reality that we create does not even come near this immersive experience that we have with reality. The curiosity to understand if it is possible for us to create a hardware and software that comes even a little bit close to the kind of intelligence, knowledge and beauty in the algorithm of this reality around us. This has been my driver to decode and understand the Sanskrit literature. So, I find that is the best way to describe the algorithm. In this book I explain the algorithms proposed in the Sanskrit literatures for the working of this reality around us. I also compare these concepts to what we have currently present in computers and explain how they are different from what is explained in these books and why what we have in computers are not sufficient to create the AI that we want to create. Further, I try to put down my thoughts on how or what can be done to create a system that can be used to implement a AI system.
Author: Clifford A. Shaffer
Publisher:
ISBN:
Category : Computers
Languages : en
Pages : 536
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Book Description
This practical text contains fairly "traditional" coverage of data structures with a clear and complete use of algorithm analysis, and some emphasis on file processing techniques as relevant to modern programmers. It fully integrates OO programming with these topics, as part of the detailed presentation of OO programming itself.Chapter topics include lists, stacks, and queues; binary and general trees; graphs; file processing and external sorting; searching; indexing; and limits to computation.For programmers who need a good reference on data structures.
Author: A. B. Chaudhuri
Publisher: Mercury Learning and Information
ISBN: 168392536X
Category : Computers
Languages : en
Pages : 251
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Book Description
This book is designed to equip the reader with all of the best followed, efficient, well-structured program logics in the form of flowcharts and algorithms. The basic purpose of flowcharting is to create the sequence of steps for showing the solution to problems through arithmetic and/or logical manipulations used to instruct computers. The applied and illustrative examples from different subject areas will definitely encourage readers to learn the logic leading to solid programming basics. Features: Uses flowcharts and algorithms to solve problems from everyday applications, teaching the logic needed for the creation of computer instructions Covers arrays, looping, file processing, etc.
Author: Steven S Skiena
Publisher: Springer Science & Business Media
ISBN: 1848000707
Category : Computers
Languages : en
Pages : 742
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Book Description
This newly expanded and updated second edition of the best-selling classic continues to take the "mystery" out of designing algorithms, and analyzing their efficacy and efficiency. Expanding on the first edition, the book now serves as the primary textbook of choice for algorithm design courses while maintaining its status as the premier practical reference guide to algorithms for programmers, researchers, and students. The reader-friendly Algorithm Design Manual provides straightforward access to combinatorial algorithms technology, stressing design over analysis. The first part, Techniques, provides accessible instruction on methods for designing and analyzing computer algorithms. The second part, Resources, is intended for browsing and reference, and comprises the catalog of algorithmic resources, implementations and an extensive bibliography. NEW to the second edition: • Doubles the tutorial material and exercises over the first edition • Provides full online support for lecturers, and a completely updated and improved website component with lecture slides, audio and video • Contains a unique catalog identifying the 75 algorithmic problems that arise most often in practice, leading the reader down the right path to solve them • Includes several NEW "war stories" relating experiences from real-world applications • Provides up-to-date links leading to the very best algorithm implementations available in C, C++, and Java
Author: Robertas Damaševičius
Publisher: Springer Nature
ISBN: 303030275X
Category : Computers
Languages : en
Pages : 621
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Book Description
This book constitutes the refereed proceedings of the 25th International Conference on Information and Software Technologies, ICIST 2019, held in Vilnius, Lithuania, in October 2019. The 46 papers presented were carefully reviewed and selected from 121 submissions. The papers are organized in topical sections on information systems; business intelligence for information and software systems; information technology applications; software engineering.
