Download or read book Expo 1 Pupil Book written by Jon Meier and published by Heinemann. This book was released on 2003 with total page 166 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers a lively, communicative approach to modern languages, underpinned by a clear grammatical foundation, for pupils with a lower ability. Staightforward explanations of the way that the language works are accompanied by regular reading and writing practice activities.
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Download or read book Psychological Testing written by Theresa J.B. Kline and published by SAGE Publications. This book was released on 2005-02-15 with total page 369 pages. Available in PDF, EPUB and Kindle. Book excerpt: Psychological Testing: A Practical Approach to Design and Evaluation offers a fresh and innovative approach for graduate students and faculty in the fields of testing, measurement, psychometrics, research design, and related areas of study. Author Theresa J.B. Kline guides readers through the process of designing and evaluating a test, while ensuring that the test meets the highest professional standards. The author uses simple, clear examples throughout and fully details the required statistical analyses. Topics include—but are not limited to—design of item stems and responses; sampling strategies; classical and modern test theory; IRT program examples; reliability of tests and raters; validation using content, criterion-related, and factor analytic approaches; test and item bias; and professional and ethical issues in testing.
Download or read book The Chronicle Fire Tables for 1897 written by and published by . This book was released on 1897 with total page 490 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book The Expo Book written by Gordon Linden and published by Lulu.com. This book was released on 2014-04-07 with total page 249 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Expo Book: A Guide to the Planning, Organization, Design & Operation of World Expositions
Download or read book A Great Reckoning written by Louise Penny and published by Macmillan. This book was released on 2016-08-30 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: The next novel in Louise Penny's #1 New York Times bestselling series featuring Chief Inspector Armand Gamache.
Download or read book Introduction to Probability written by Joseph K. Blitzstein and published by CRC Press. This book was released on 2014-07-24 with total page 589 pages. Available in PDF, EPUB and Kindle. Book excerpt: Developed from celebrated Harvard statistics lectures, Introduction to Probability provides essential language and tools for understanding statistics, randomness, and uncertainty. The book explores a wide variety of applications and examples, ranging from coincidences and paradoxes to Google PageRank and Markov chain Monte Carlo (MCMC). Additional application areas explored include genetics, medicine, computer science, and information theory. The print book version includes a code that provides free access to an eBook version. The authors present the material in an accessible style and motivate concepts using real-world examples. Throughout, they use stories to uncover connections between the fundamental distributions in statistics and conditioning to reduce complicated problems to manageable pieces. The book includes many intuitive explanations, diagrams, and practice problems. Each chapter ends with a section showing how to perform relevant simulations and calculations in R, a free statistical software environment.
Download or read book Linear Algebra and Optimization for Machine Learning written by Charu C. Aggarwal and published by Springer Nature. This book was released on 2020-05-13 with total page 507 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook introduces linear algebra and optimization in the context of machine learning. Examples and exercises are provided throughout the book. A solution manual for the exercises at the end of each chapter is available to teaching instructors. This textbook targets graduate level students and professors in computer science, mathematics and data science. Advanced undergraduate students can also use this textbook. The chapters for this textbook are organized as follows: 1. Linear algebra and its applications: The chapters focus on the basics of linear algebra together with their common applications to singular value decomposition, matrix factorization, similarity matrices (kernel methods), and graph analysis. Numerous machine learning applications have been used as examples, such as spectral clustering, kernel-based classification, and outlier detection. The tight integration of linear algebra methods with examples from machine learning differentiates this book from generic volumes on linear algebra. The focus is clearly on the most relevant aspects of linear algebra for machine learning and to teach readers how to apply these concepts. 2. Optimization and its applications: Much of machine learning is posed as an optimization problem in which we try to maximize the accuracy of regression and classification models. The “parent problem” of optimization-centric machine learning is least-squares regression. Interestingly, this problem arises in both linear algebra and optimization, and is one of the key connecting problems of the two fields. Least-squares regression is also the starting point for support vector machines, logistic regression, and recommender systems. Furthermore, the methods for dimensionality reduction and matrix factorization also require the development of optimization methods. A general view of optimization in computational graphs is discussed together with its applications to back propagation in neural networks. A frequent challenge faced by beginners in machine learning is the extensive background required in linear algebra and optimization. One problem is that the existing linear algebra and optimization courses are not specific to machine learning; therefore, one would typically have to complete more course material than is necessary to pick up machine learning. Furthermore, certain types of ideas and tricks from optimization and linear algebra recur more frequently in machine learning than other application-centric settings. Therefore, there is significant value in developing a view of linear algebra and optimization that is better suited to the specific perspective of machine learning.
Download or read book AP Computer Science A Premium 12th Edition Prep Book with 6 Practice Tests Comprehensive Review Online Practice written by Roselyn Teukolsky and published by Simon and Schuster. This book was released on 2024-07-02 with total page 457 pages. Available in PDF, EPUB and Kindle. Book excerpt: Be prepared for exam day with Barron’s. Trusted content from AP experts! Barron’s AP Computer Science A Premium, 12th Edition includes in‑depth content review and practice. It’s the only book you’ll need to be prepared for exam day. Written by Experienced Educators Learn from Barron’s‑‑all content is written and reviewed by AP experts Build your understanding with comprehensive review tailored to the most recent exam Get a leg up with tips, strategies, and study advice for exam day‑‑it’s like having a trusted tutor by your side Be Confident on Exam Day Sharpen your test‑taking skills with 6 full‑length practice tests–3 in the book, including a diagnostic test to target your studying, and 3 more online–plus detailed answer explanations for all questions Strengthen your knowledge with in‑depth review covering all units on the AP Computer Science A exam Reinforce your learning with dozens of clear examples and a series of multiple‑choice practice questions at the end of each review chapter Learn the key techniques and methods of modern programming with a chapter devoted to the Java language features you need to know for test day Robust Online Practice Continue your practice with 3 full‑length practice tests on Barron’s Online Learning Hub Simulate the exam experience with a timed test option Deepen your understanding with detailed answer explanations and expert advice Gain confidence with scoring to check your learning progress
Download or read book AP Computer Science A written by Roselyn Teukolsky and published by Simon and Schuster. This book was released on 2020-07-21 with total page 497 pages. Available in PDF, EPUB and Kindle. Book excerpt: Be prepared for exam day with Barron’s. Trusted content from AP experts! Barron’s AP Computer Science A: 2020-2021 includes in-depth content review and online practice. It’s the only book you’ll need to be prepared for exam day. Written by Experienced Educators Learn from Barron’s--all content is written and reviewed by AP experts Build your understanding with comprehensive review tailored to the most recent exam Get a leg up with tips, strategies, and study advice for exam day--it’s like having a trusted tutor by your side Be Confident on Exam Day Sharpen your test-taking skills with 6 full-length practice tests--3 in the book, including a diagnostic test to target your studying, and 3 more online Strengthen your knowledge with in-depth review covering all Units on the AP Computer Science A Exam Reinforce your learning with multiple-choice practice questions at the end of each chapter Interactive Online Practice Continue your practice with 3 full-length practice tests on Barron’s Online Learning Hub Simulate the exam experience with a timed test option Deepen your understanding with detailed answer explanations and expert advice Gain confidence with automated scoring to check your learning progress
Download or read book AP Computer Science A Premium 2022 2023 Comprehensive Review with 6 Practice Tests an Online Timed Test Option written by Roselyn Teukolsky and published by Simon and Schuster. This book was released on 2022-02 with total page 496 pages. Available in PDF, EPUB and Kindle. Book excerpt: At head of title: Barron's the trusted name in test prep.
Download or read book Introduction to Probability Second Edition written by Joseph K. Blitzstein and published by CRC Press. This book was released on 2019-02-08 with total page 611 pages. Available in PDF, EPUB and Kindle. Book excerpt: Developed from celebrated Harvard statistics lectures, Introduction to Probability provides essential language and tools for understanding statistics, randomness, and uncertainty. The book explores a wide variety of applications and examples, ranging from coincidences and paradoxes to Google PageRank and Markov chain Monte Carlo (MCMC). Additional application areas explored include genetics, medicine, computer science, and information theory. The authors present the material in an accessible style and motivate concepts using real-world examples. Throughout, they use stories to uncover connections between the fundamental distributions in statistics and conditioning to reduce complicated problems to manageable pieces. The book includes many intuitive explanations, diagrams, and practice problems. Each chapter ends with a section showing how to perform relevant simulations and calculations in R, a free statistical software environment. The second edition adds many new examples, exercises, and explanations, to deepen understanding of the ideas, clarify subtle concepts, and respond to feedback from many students and readers. New supplementary online resources have been developed, including animations and interactive visualizations, and the book has been updated to dovetail with these resources. Supplementary material is available on Joseph Blitzstein’s website www. stat110.net. The supplements include: Solutions to selected exercises Additional practice problems Handouts including review material and sample exams Animations and interactive visualizations created in connection with the edX online version of Stat 110. Links to lecture videos available on ITunes U and YouTube There is also a complete instructor's solutions manual available to instructors who require the book for a course.
Download or read book Recent Advances in Modeling Analysis and Systems Control Theoretical Aspects and Applications written by El Hassan Zerrik and published by Springer Nature. This book was released on 2019-08-26 with total page 275 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes recent developments in a wide range of areas, including the modeling, analysis and control of dynamical systems, and explores related applications. The book provided a forum where researchers have shared their ideas, results on theory, and experiments in application problems. The current literature devoted to dynamical systems is quite large, and the authors’ choice for the considered topics was motivated by the following considerations. Firstly, the mathematical jargon for systems theory remains quite complex and the authors feel strongly that they have to maintain connections between the people of this research field. Secondly, dynamical systems cover a wider range of applications, including engineering, life sciences and environment. The authors consider that the book is an important contribution to the state of the art in the fuzzy and dynamical systems areas.
Download or read book Public Key Cryptography PKC 2020 written by Aggelos Kiayias and published by Springer Nature. This book was released on 2020-04-29 with total page 658 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two-volume set LNCS 12110 and 12111 constitutes the refereed proceedings of the 23rd IACR International Conference on the Practice and Theory of Public-Key Cryptography, PKC 2020, held in Edinburgh, UK, in May 2020. The 44 full papers presented were carefully reviewed and selected from 180 submissions. They are organized in topical sections such as: functional encryption; identity-based encryption; obfuscation and applications; encryption schemes; secure channels; basic primitives with special properties; proofs and arguments; lattice-based cryptography; isogeny-based cryptography; multiparty protocols; secure computation and related primitives; post-quantum primitives; and privacy-preserving schemes.
Download or read book Formal Verification of Floating Point Hardware Design written by David M. Russinoff and published by Springer Nature. This book was released on 2022-03-03 with total page 448 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the first book to focus on the problem of ensuring the correctness of floating-point hardware designs through mathematical methods. Formal Verification of Floating-Point Hardware Design, Second Edition advances a verification methodology based on a unified theory of register-transfer logic and floating-point arithmetic that has been developed and applied to the formal verification of commercial floating-point units over the course of more than two decades, during which the author was employed by several major microprocessor design companies. The theory is extended to the analysis of several algorithms and optimization techniques that are commonly used in commercial implementations of elementary arithmetic operations. As a basis for the formal verification of such implementations, high-level specifications of the basic arithmetic instructions of several major industry-standard floating-point architectures are presented, including all details pertaining to the handling of exceptional conditions. The methodology is illustrated in the comprehensive verification of a variety of state-of-the-art commercial floating-point designs developed by Arm Holdings. This revised edition reflects the evolving microarchitectures and increasing sophistication of Arm processors, and the variation in the design goals of execution speed, hardware area requirements, and power consumption. Many new results have been added to Parts I—III (Register-Transfer Logic, Floating-Point Arithmetic, and Implementation of Elementary Operations), extending the theory and describing new techniques. These were derived as required in the verification of the new RTL designs described in Part V.
