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Book Laws Of Magic Sampler 1   6

    Book Details:
  • Author : Michael Pryor
  • Publisher : Random House Australia
  • Release : 2011-08-01
  • ISBN : 1742745830
  • Pages : 150 pages

Download or read book Laws Of Magic Sampler 1 6 written by Michael Pryor and published by Random House Australia. This book was released on 2011-08-01 with total page 150 pages. Available in PDF, EPUB and Kindle. Book excerpt: There's a magical and political storm brewing - and Aubrey Fitzwilliam is making sure he's right in the centre of it. Set in a world similar to Edwardian Britain, just before World War I, this fantasy series is full of magic, manners, conspiracy and intrigue, politics and personal trial - not to mention good old-fashioned fun. The Laws of Magic stars Aubrey Fitzwilliam, the son of a prominent ex-prime minister. He's brilliant at magic, but he's still stuck at school. At least he has his best friend, George, there to back him up. George would follow Aubrey anywhere - and with Aubrey's talent for thinking up impulsive and daring schemes that will get them both in trouble, that's no easy thing to do. From golems to top-secret submersibles, soul stealers to ghosts, The Laws of Magic is a cracking good read. Discover the magic in this free sampler that gives you chapters from each of the six books, so no matter where you're up to in the series, you can find out what's coming next for Aubrey and his friends.

Book Advances in Database Technologies

Download or read book Advances in Database Technologies written by Yahiko Kambayashi and published by Springer. This book was released on 2004-01-30 with total page 614 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the thoroughly refereed joint post-proceedings of three workshops held during the 17th International Conference on Conceptual Modeling, ER '98, in Singapore in November 1998. The 50 revised papers presented have gone through two rounds of reviewing and revision. The book is divided in sections on knowledge discovery, data mining, data and web warehousing, multidimensional databases, data warehouse design, caching, data dissemination, replication, mobile networks, mobile platforms, tracking and monitoring, collaborative work support, temporal data modelling, moving objects and spatial indexing, spatio-temporal databases, and video database contents.

Book An Introduction to Data Science With Python

Download or read book An Introduction to Data Science With Python written by Jeffrey S. Saltz and published by SAGE Publications. This book was released on 2024-05-29 with total page 234 pages. Available in PDF, EPUB and Kindle. Book excerpt: An Introduction to Data Science with Python by Jeffrey S. Saltz and Jeffery M. Stanton provides readers who are new to Python and data science with a step-by-step walkthrough of the tools and techniques used to analyze data and generate predictive models. After introducing the basic concepts of data science, the book builds on these foundations to explain data science techniques using Python-based Jupyter Notebooks. The techniques include making tables and data frames, computing statistics, managing data, creating data visualizations, and building machine learning models. Each chapter breaks down the process into simple steps and components so students with no more than a high school algebra background will still find the concepts and code intelligible. Explanations are reinforced with linked practice questions throughout to check reader understanding. The book also covers advanced topics such as neural networks and deep learning, the basis of many recent and startling advances in machine learning and artificial intelligence. With their trademark humor and clear explanations, Saltz and Stanton provide a gentle introduction to this powerful data science tool. Included with this title: LMS Cartridge: Import this title’s instructor resources into your school’s learning management system (LMS) and save time. Don′t use an LMS? You can still access all of the same online resources for this title via the password-protected Instructor Resource Site.

Book Catalog of Copyright Entries

Download or read book Catalog of Copyright Entries written by Library of Congress. Copyright Office and published by . This book was released on 1959 with total page 550 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book The Law Times

    Book Details:
  • Author :
  • Publisher :
  • Release : 1851
  • ISBN :
  • Pages : 722 pages

Download or read book The Law Times written by and published by . This book was released on 1851 with total page 722 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book New York Magazine

    Book Details:
  • Author :
  • Publisher :
  • Release : 1976-08-02
  • ISBN :
  • Pages : 76 pages

Download or read book New York Magazine written by and published by . This book was released on 1976-08-02 with total page 76 pages. Available in PDF, EPUB and Kindle. Book excerpt: New York magazine was born in 1968 after a run as an insert of the New York Herald Tribune and quickly made a place for itself as the trusted resource for readers across the country. With award-winning writing and photography covering everything from politics and food to theater and fashion, the magazine's consistent mission has been to reflect back to its audience the energy and excitement of the city itself, while celebrating New York as both a place and an idea.

Book American Druggist

Download or read book American Druggist written by and published by . This book was released on 1924 with total page 758 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book National Cyclopaedia of Useful Knowledge

Download or read book National Cyclopaedia of Useful Knowledge written by and published by . This book was released on 1853 with total page 1034 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Knowledge Based Systems  Four Volume Set

Download or read book Knowledge Based Systems Four Volume Set written by Cornelius T. Leondes and published by Elsevier. This book was released on 2000-07-11 with total page 1449 pages. Available in PDF, EPUB and Kindle. Book excerpt: The design of knowledge systems is finding myriad applications from corporate databases to general decision support in areas as diverse as engineering, manufacturing and other industrial processes, medicine, business, and economics. In engineering, for example, knowledge bases can be utilized for reliable electric power system operation. In medicine they support complex diagnoses, while in business they inform the process of strategic planning. Programmed securities trading and the defeat of chess champion Kasparov by IBM's Big Blue are two familiar examples of dedicated knowledge bases in combination with an expert system for decision-making. With volumes covering "Implementation," "Optimization," "Computer Techniques," and "Systems and Applications," this comprehensive set constitutes a unique reference source for students, practitioners, and researchers in computer science, engineering, and the broad range of applications areas for knowledge-based systems.

Book Uncertainties in Neural Networks

    Book Details:
  • Author : Magnus Malmström
  • Publisher : Linköping University Electronic Press
  • Release : 2021-04-06
  • ISBN : 9179296807
  • Pages : 103 pages

Download or read book Uncertainties in Neural Networks written by Magnus Malmström and published by Linköping University Electronic Press. This book was released on 2021-04-06 with total page 103 pages. Available in PDF, EPUB and Kindle. Book excerpt: In science, technology, and engineering, creating models of the environment to predict future events has always been a key component. The models could be everything from how the friction of a tire depends on the wheels slip to how a pathogen is spread throughout society. As more data becomes available, the use of data-driven black-box models becomes more attractive. In many areas they have shown promising results, but for them to be used widespread in safety-critical applications such as autonomous driving some notion of uncertainty in the prediction is required. An example of such a black-box model is neural networks (NNs). This thesis aims to increase the usefulness of NNs by presenting an method where uncertainty in the prediction is obtained by linearization of the model. In system identification and sensor fusion, under the condition that the model structure is identifiable, this is a commonly used approach to get uncertainty in the prediction from a nonlinear model. If the model structure is not identifiable, such as for NNs, the ambiguities that cause this have to be taken care of in order to make the approach applicable. This is handled in the first part of the thesis where NNs are analyzed from a system identification perspective, and sources of uncertainty are discussed. Another problem with data-driven black-box models is that it is difficult to know how flexible the model needs to be in order to correctly model the true system. One solution to this problem is to use a model that is more flexible than necessary to make sure that the model is flexible enough. But how would that extra flexibility affect the uncertainty in the prediction? This is handled in the later part of the thesis where it is shown that the uncertainty in the prediction is bounded from below by the uncertainty in the prediction of the model with lowest flexibility required for representing true system accurately. In the literature, many other approaches to handle the uncertainty in predictions by NNs have been suggested, of which some are summarized in this work. Furthermore, a simulation and an experimental studies inspired by autonomous driving are conducted. In the simulation study, different sources of uncertainty are investigated, as well as how large the uncertainty in the predictions by NNs are in areas without training data. In the experimental study, the uncertainty in predictions done by different models are investigated. The results show that, compared to existing methods, the linearization method produces similar results for the uncertainty in predictions by NNs. An introduction video is available at https://youtu.be/O4ZcUTGXFN0 Inom forskning och utveckling har det har alltid varit centralt att skapa modeller av verkligheten. Dessa modeller har bland annat använts till att förutspå framtida händelser eller för att styra ett system till att bete sig som man önskar. Modellerna kan beskriva allt från hur friktionen hos ett bildäck påverkas av hur mycket hjulen glider till hur ett virus kan sprida sig i ett samhälle. I takt med att mer och mer data blir tillgänglig ökar potentialen för datadrivna black-box modeller. Dessa modeller är universella approximationer vilka ska kunna representera vilken godtycklig funktion som helst. Användningen av dessa modeller har haft stor framgång inom många områden men för att verkligen kunna etablera sig inom säkerhetskritiska områden såsom självkörande farkoster behövs en förståelse för osäkerhet i prediktionen från modellen. Neuronnät är ett exempel på en sådan black-box modell. I denna avhandling kommer olika sätt att tillförskaffa sig kunskap om osäkerhet i prediktionen av neuronnät undersökas. En metod som bygger på linjärisering av modellen för att tillförskaffa sig osäkerhet i prediktionen av neuronnätet kommer att presenteras. Denna metod är välbeprövad inom systemidentifiering och sensorfusion under antagandet att modellen är identifierbar. För modeller såsom neuronnät, vilka inte är identifierbara behövs det att det tas hänsyn till tvetydigheterna i modellen. En annan utmaning med datadrivna black-box modeller, är att veta om den valda modellmängden är tillräckligt generell för att kunna modellera det sanna systemet. En lösning på detta problem är att använda modeller som har mer flexibilitet än vad som behövs, det vill säga en överparameteriserad modell. Men hur påverkas osäkerheten i prediktionen av detta? Detta är något som undersöks i denna avhandling, vilken visar att osäkerheten i den överparameteriserad modellen kommer att vara begränsad underifrån av modellen med minst flexibilitet som ändå är tillräckligt generell för att modellera det sanna systemet. Som avslutning kommer dessa resultat att demonstreras i både en simuleringsstudie och en experimentstudie inspirerad av självkörande farkoster. Fokuset i simuleringsstudien är hur osäkerheten hos modellen är i områden med och utan tillgång till träningsdata medan experimentstudien fokuserar på jämförelsen mellan osäkerheten i olika typer av modeller.Resultaten från dessa studier visar att metoden som bygger på linjärisering ger liknande resultat för skattningen av osäkerheten i prediktionen av neuronnät, jämfört med existerande metoder.

Book The Irish Law Times and Solicitors  Journal

Download or read book The Irish Law Times and Solicitors Journal written by and published by . This book was released on 1889 with total page 896 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book London Catalogue of Books

Download or read book London Catalogue of Books written by and published by . This book was released on 1851 with total page 662 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Canadian Books in Print  Author and Title Index

Download or read book Canadian Books in Print Author and Title Index written by and published by University of Toronto Press. This book was released on 1975 with total page 1610 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Finding Radical Wholeness

Download or read book Finding Radical Wholeness written by Ken Wilber and published by Shambhala Publications. This book was released on 2024-06-11 with total page 489 pages. Available in PDF, EPUB and Kindle. Book excerpt: From integral philosopher Ken Wilber, a practical guide to finding a radical and complete Wholeness through a path that blends integral theory, psychology, spiritual practice, and shadow work. According to Ken Wilber, the perpetual human search for growth and fulfillment is often incomplete. In this book, Wilber integrates the wisdom of spirituality, psychology, shadow work, science, and integral theory to offer us a path to a radical and complete Wholeness of Waking Up, Growing Up, Opening Up, Cleaning Up, and Showing Up. Wilber shows readers how to apply integral theory to their everyday lives for transformation. For example, he shows how the theory of the Four Quadrants—the four perspectives through which we view the world—relates to our lives and allows us to show up and be more present. He also discusses how to evolve our multiple intelligences, how to increase our spiritual awareness, how to process what’s hidden in the depths of our consciousness, and how to enhance, deepen, and widen the feelings of bliss and love through the practice of integral tantric sex. Wilber introduces several practices—on topics such as the Witness, One Taste, and shadow work—to lead us to direct experiences that we can integrate into our lives. In this way, we truly understand Wholeness and can make room for everything life brings our way. No other path of growth includes these five categories—each of which is a unique path to wholeness. By combining them and integrating them, one comes to a realization of what Wilber calls Big Wholeness—a completeness in which everything in our experience comes together to pull us into this deep meaning, where we feel in touch not only with all of the important aspects of ourselves but also with everything in our world.

Book Popular Mechanics Magazine

Download or read book Popular Mechanics Magazine written by and published by . This book was released on 1915 with total page 1110 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Regulatory Bulletin

Download or read book Regulatory Bulletin written by Kentucky Agricultural Experiment Station and published by . This book was released on 1964 with total page 756 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Scientific Applications of Language Methods

Download or read book Scientific Applications of Language Methods written by Carlos Mart¡n Vide and published by World Scientific. This book was released on 2011 with total page 752 pages. Available in PDF, EPUB and Kindle. Book excerpt: Presenting interdisciplinary research at the forefront of present advances in information technologies and their foundations, Scientific Applications of Language Methods is a multi-author volume containing pieces of work (either original research or surveys) exemplifying the application of formal language tools in several fields, including logic and discrete mathematics, natural language processing, artificial intelligence, natural computing and bioinformatics.