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Author: Carl Czerny Publisher: Warner Bros. Publications ISBN: 9781859090725 Category : Music Languages : en Pages :
Book Description
A brand new edition from Faber Music of Carl Czerny's famous piano studies. These 101 exercises cover a wide range of piano technique in a clear and concise manner, focusing on strengthening fingers, developing stylistic awareness and improving technical control. Edited by one the UK's leading piano pedagogues Christine Brown, there are also helpful practice notes included, making this an invaluable resource for every pianist, whether beginner or returning to piano study.
Author: Carl Czerny Publisher: Warner Bros. Publications ISBN: 9781859090725 Category : Music Languages : en Pages :
Book Description
A brand new edition from Faber Music of Carl Czerny's famous piano studies. These 101 exercises cover a wide range of piano technique in a clear and concise manner, focusing on strengthening fingers, developing stylistic awareness and improving technical control. Edited by one the UK's leading piano pedagogues Christine Brown, there are also helpful practice notes included, making this an invaluable resource for every pianist, whether beginner or returning to piano study.
Author: Stephen Boyd Publisher: Cambridge University Press ISBN: 1316518965 Category : Business & Economics Languages : en Pages : 477
Book Description
A groundbreaking introduction to vectors, matrices, and least squares for engineering applications, offering a wealth of practical examples.
Author: Marc Peter Deisenroth Publisher: Cambridge University Press ISBN: 1108569323 Category : Computers Languages : en Pages : 392
Book Description
The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability and statistics. These topics are traditionally taught in disparate courses, making it hard for data science or computer science students, or professionals, to efficiently learn the mathematics. This self-contained textbook bridges the gap between mathematical and machine learning texts, introducing the mathematical concepts with a minimum of prerequisites. It uses these concepts to derive four central machine learning methods: linear regression, principal component analysis, Gaussian mixture models and support vector machines. For students and others with a mathematical background, these derivations provide a starting point to machine learning texts. For those learning the mathematics for the first time, the methods help build intuition and practical experience with applying mathematical concepts. Every chapter includes worked examples and exercises to test understanding. Programming tutorials are offered on the book's web site.
Author: Ron Mancini Publisher: Newnes ISBN: 0750677015 Category : Technology & Engineering Languages : en Pages : 470
Book Description
The operational amplifier ("op amp") is the most versatile and widely used type of analog IC, used in audio and voltage amplifiers, signal conditioners, signal converters, oscillators, and analog computing systems. Almost every electronic device uses at least one op amp. This book is Texas Instruments' complete professional-level tutorial and reference to operational amplifier theory and applications. Among the topics covered are basic op amp physics (including reviews of current and voltage division, Thevenin's theorem, and transistor models), idealized op amp operation and configuration, feedback theory and methods, single and dual supply operation, understanding op amp parameters, minimizing noise in op amp circuits, and practical applications such as instrumentation amplifiers, signal conditioning, oscillators, active filters, load and level conversions, and analog computing. There is also extensive coverage of circuit construction techniques, including circuit board design, grounding, input and output isolation, using decoupling capacitors, and frequency characteristics of passive components. The material in this book is applicable to all op amp ICs from all manufacturers, not just TI. Unlike textbook treatments of op amp theory that tend to focus on idealized op amp models and configuration, this title uses idealized models only when necessary to explain op amp theory. The bulk of this book is on real-world op amps and their applications; considerations such as thermal effects, circuit noise, circuit buffering, selection of appropriate op amps for a given application, and unexpected effects in passive components are all discussed in detail. *Published in conjunction with Texas Instruments *A single volume, professional-level guide to op amp theory and applications *Covers circuit board layout techniques for manufacturing op amp circuits.
Author: Melvin L. Silberman Publisher: John Wiley & Sons ISBN: 1118046692 Category : Business & Economics Languages : en Pages : 333
Book Description
When it was first published in 1995, Mel Silberman's 101 Ways to Make Training Active became an instant bestseller. Now this revised and updated second edition offers the same dynamic approach and several completely new case examples. The examples support each exercise and highlight real-time uses of the highly successful Active Training method. In addition, the book includes 200 training tips that form the nuts-and-bolts of successful active training. These tips incorporated in the book's top ten lists show how to build quality, activity, variety, and direction into your training programs. For the first time 101 Ways to Make Training Active features a CD-ROM containing all the original "Top Ten Trainers Tips and Techniques" lists for easy reproduction and distribution.
Author: Jacob Cohen Publisher: Routledge ISBN: 1134742770 Category : Psychology Languages : en Pages : 625
Book Description
Statistical Power Analysis is a nontechnical guide to power analysis in research planning that provides users of applied statistics with the tools they need for more effective analysis. The Second Edition includes: * a chapter covering power analysis in set correlation and multivariate methods; * a chapter considering effect size, psychometric reliability, and the efficacy of "qualifying" dependent variables and; * expanded power and sample size tables for multiple regression/correlation.
Author: Jorge Nocedal Publisher: Springer Science & Business Media ISBN: 0387400656 Category : Mathematics Languages : en Pages : 686
Book Description
Optimization is an important tool used in decision science and for the analysis of physical systems used in engineering. One can trace its roots to the Calculus of Variations and the work of Euler and Lagrange. This natural and reasonable approach to mathematical programming covers numerical methods for finite-dimensional optimization problems. It begins with very simple ideas progressing through more complicated concepts, concentrating on methods for both unconstrained and constrained optimization.
Author: Carl Czerny
Author: Carl Czerny
Author: Carl Czerny
Author: Stephen Boyd
Author: Marc Peter Deisenroth
Author: Ron Mancini
Author: Melvin L. Silberman
Author: Jacob Cohen
Author: Carl Czerny
Author: Giuseppe Buonamici
Author: Jorge Nocedal