Author: Tony Marvuglio
Publisher: Alfred Music
ISBN: 9781457401107
Category : Music
Languages : en
Pages : 56
Book Description
Live Sound Basics is designed to have you running PAs and mixers in no time. This book provides the foundation necessary to understand and use live audio equipment so that every performance has a professional sound. It's a must for any performer!
Ultimate Beginner Tech Start Series®: Live Sound Basics
Author: Tony Marvuglio
Publisher: Alfred Music
ISBN: 9781457401107
Category : Music
Languages : en
Pages : 56
Book Description
Live Sound Basics is designed to have you running PAs and mixers in no time. This book provides the foundation necessary to understand and use live audio equipment so that every performance has a professional sound. It's a must for any performer!
Publisher: Alfred Music
ISBN: 9781457401107
Category : Music
Languages : en
Pages : 56
Book Description
Live Sound Basics is designed to have you running PAs and mixers in no time. This book provides the foundation necessary to understand and use live audio equipment so that every performance has a professional sound. It's a must for any performer!
Live Sound Basics
Author: Tony Marvuglio
Publisher: Alfred Music
ISBN: 9780769290553
Category : Music
Languages : en
Pages : 0
Book Description
Live Sound Basics is designed to have you running PAs and mixers in no time. This book provides the foundation necessary to understand and use live audio equipment so that every performance has a professional sound. It's a must for any performer!
Publisher: Alfred Music
ISBN: 9780769290553
Category : Music
Languages : en
Pages : 0
Book Description
Live Sound Basics is designed to have you running PAs and mixers in no time. This book provides the foundation necessary to understand and use live audio equipment so that every performance has a professional sound. It's a must for any performer!
R for Everyone
Author: Jared P. Lander
Publisher: Addison-Wesley Professional
ISBN: 0134546997
Category : Computers
Languages : en
Pages : 1456
Book Description
Statistical Computation for Programmers, Scientists, Quants, Excel Users, and Other Professionals Using the open source R language, you can build powerful statistical models to answer many of your most challenging questions. R has traditionally been difficult for non-statisticians to learn, and most R books assume far too much knowledge to be of help. R for Everyone, Second Edition, is the solution. Drawing on his unsurpassed experience teaching new users, professional data scientist Jared P. Lander has written the perfect tutorial for anyone new to statistical programming and modeling. Organized to make learning easy and intuitive, this guide focuses on the 20 percent of R functionality you’ll need to accomplish 80 percent of modern data tasks. Lander’s self-contained chapters start with the absolute basics, offering extensive hands-on practice and sample code. You’ll download and install R; navigate and use the R environment; master basic program control, data import, manipulation, and visualization; and walk through several essential tests. Then, building on this foundation, you’ll construct several complete models, both linear and nonlinear, and use some data mining techniques. After all this you’ll make your code reproducible with LaTeX, RMarkdown, and Shiny. By the time you’re done, you won’t just know how to write R programs, you’ll be ready to tackle the statistical problems you care about most. Coverage includes Explore R, RStudio, and R packages Use R for math: variable types, vectors, calling functions, and more Exploit data structures, including data.frames, matrices, and lists Read many different types of data Create attractive, intuitive statistical graphics Write user-defined functions Control program flow with if, ifelse, and complex checks Improve program efficiency with group manipulations Combine and reshape multiple datasets Manipulate strings using R’s facilities and regular expressions Create normal, binomial, and Poisson probability distributions Build linear, generalized linear, and nonlinear models Program basic statistics: mean, standard deviation, and t-tests Train machine learning models Assess the quality of models and variable selection Prevent overfitting and perform variable selection, using the Elastic Net and Bayesian methods Analyze univariate and multivariate time series data Group data via K-means and hierarchical clustering Prepare reports, slideshows, and web pages with knitr Display interactive data with RMarkdown and htmlwidgets Implement dashboards with Shiny Build reusable R packages with devtools and Rcpp Register your product at informit.com/register for convenient access to downloads, updates, and corrections as they become available.
Publisher: Addison-Wesley Professional
ISBN: 0134546997
Category : Computers
Languages : en
Pages : 1456
Book Description
Statistical Computation for Programmers, Scientists, Quants, Excel Users, and Other Professionals Using the open source R language, you can build powerful statistical models to answer many of your most challenging questions. R has traditionally been difficult for non-statisticians to learn, and most R books assume far too much knowledge to be of help. R for Everyone, Second Edition, is the solution. Drawing on his unsurpassed experience teaching new users, professional data scientist Jared P. Lander has written the perfect tutorial for anyone new to statistical programming and modeling. Organized to make learning easy and intuitive, this guide focuses on the 20 percent of R functionality you’ll need to accomplish 80 percent of modern data tasks. Lander’s self-contained chapters start with the absolute basics, offering extensive hands-on practice and sample code. You’ll download and install R; navigate and use the R environment; master basic program control, data import, manipulation, and visualization; and walk through several essential tests. Then, building on this foundation, you’ll construct several complete models, both linear and nonlinear, and use some data mining techniques. After all this you’ll make your code reproducible with LaTeX, RMarkdown, and Shiny. By the time you’re done, you won’t just know how to write R programs, you’ll be ready to tackle the statistical problems you care about most. Coverage includes Explore R, RStudio, and R packages Use R for math: variable types, vectors, calling functions, and more Exploit data structures, including data.frames, matrices, and lists Read many different types of data Create attractive, intuitive statistical graphics Write user-defined functions Control program flow with if, ifelse, and complex checks Improve program efficiency with group manipulations Combine and reshape multiple datasets Manipulate strings using R’s facilities and regular expressions Create normal, binomial, and Poisson probability distributions Build linear, generalized linear, and nonlinear models Program basic statistics: mean, standard deviation, and t-tests Train machine learning models Assess the quality of models and variable selection Prevent overfitting and perform variable selection, using the Elastic Net and Bayesian methods Analyze univariate and multivariate time series data Group data via K-means and hierarchical clustering Prepare reports, slideshows, and web pages with knitr Display interactive data with RMarkdown and htmlwidgets Implement dashboards with Shiny Build reusable R packages with devtools and Rcpp Register your product at informit.com/register for convenient access to downloads, updates, and corrections as they become available.
El-Hi Textbooks in Print
Author:
Publisher:
ISBN:
Category : Education
Languages : en
Pages : 742
Book Description
Publisher:
ISBN:
Category : Education
Languages : en
Pages : 742
Book Description
Low GWP (A2L) Refrigerant Safety
Author: Jason Obrzut, CMHE
Publisher: ESCO Institute
ISBN: 193004481X
Category : Education
Languages : en
Pages : 98
Book Description
As the HVACR industry continues to move forward and innovate, the refrigerants that were once so commonplace are now being phased out. Replacing them are more energy efficient, environmentally friendlier refrigerants, known as Low GWP refrigerants. Many of these new refrigerants are classified by ASHRAE as A2L, or slightly flammable. The industry is also seeing expanded use of some hydrocarbon (A3) refrigerants, such as propane and isobutane. Students and technicians will require additional training for the safe handling and transportation of these refrigerants. The Low GWP refrigerant program manual covers: Refrigerant safety Introduction to Low GWP refrigerants Refrigerant properties and characteristics The refrigeration cycle Working with refrigerant blends Proper installation and service guidelines Flammable refrigerant considerations Explanation of the associated codes and standards for A2L refrigerants
Publisher: ESCO Institute
ISBN: 193004481X
Category : Education
Languages : en
Pages : 98
Book Description
As the HVACR industry continues to move forward and innovate, the refrigerants that were once so commonplace are now being phased out. Replacing them are more energy efficient, environmentally friendlier refrigerants, known as Low GWP refrigerants. Many of these new refrigerants are classified by ASHRAE as A2L, or slightly flammable. The industry is also seeing expanded use of some hydrocarbon (A3) refrigerants, such as propane and isobutane. Students and technicians will require additional training for the safe handling and transportation of these refrigerants. The Low GWP refrigerant program manual covers: Refrigerant safety Introduction to Low GWP refrigerants Refrigerant properties and characteristics The refrigeration cycle Working with refrigerant blends Proper installation and service guidelines Flammable refrigerant considerations Explanation of the associated codes and standards for A2L refrigerants
Introduction to Food Engineering
Author: R. Paul Singh
Publisher: Gulf Professional Publishing
ISBN: 0080574491
Category : Technology & Engineering
Languages : en
Pages : 787
Book Description
Food engineering is a required class in food science programs, as outlined by the Institute for Food Technologists (IFT). The concepts and applications are also required for professionals in food processing and manufacturing to attain the highest standards of food safety and quality.The third edition of this successful textbook succinctly presents the engineering concepts and unit operations used in food processing, in a unique blend of principles with applications. The authors use their many years of teaching to present food engineering concepts in a logical progression that covers the standard course curriculum. Each chapter describes the application of a particular principle followed by the quantitative relationships that define the related processes, solved examples, and problems to test understanding.The subjects the authors have selected to illustrate engineering principles demonstrate the relationship of engineering to the chemistry, microbiology, nutrition and processing of foods. Topics incorporate both traditional and contemporary food processing operations.
Publisher: Gulf Professional Publishing
ISBN: 0080574491
Category : Technology & Engineering
Languages : en
Pages : 787
Book Description
Food engineering is a required class in food science programs, as outlined by the Institute for Food Technologists (IFT). The concepts and applications are also required for professionals in food processing and manufacturing to attain the highest standards of food safety and quality.The third edition of this successful textbook succinctly presents the engineering concepts and unit operations used in food processing, in a unique blend of principles with applications. The authors use their many years of teaching to present food engineering concepts in a logical progression that covers the standard course curriculum. Each chapter describes the application of a particular principle followed by the quantitative relationships that define the related processes, solved examples, and problems to test understanding.The subjects the authors have selected to illustrate engineering principles demonstrate the relationship of engineering to the chemistry, microbiology, nutrition and processing of foods. Topics incorporate both traditional and contemporary food processing operations.
R For Dummies
Author: Andrie de Vries
Publisher: John Wiley & Sons
ISBN: 1119963133
Category : Computers
Languages : en
Pages : 470
Book Description
Master the programming language of choice among statisticians and data analysts worldwide Coming to grips with R can be tough, even for seasoned statisticians and data analysts. Enter R For Dummies, the quick, easy way to master all the R you'll ever need. Requiring no prior programming experience and packed with practical examples, easy, step-by-step exercises, and sample code, this extremely accessible guide is the ideal introduction to R for complete beginners. It also covers many concepts that intermediate-level programmers will find extremely useful. Master your R ABCs ? get up to speed in no time with the basics, from installing and configuring R to writing simple scripts and performing simultaneous calculations on many variables Put data in its place ? get to know your way around lists, data frames, and other R data structures while learning to interact with other programs, such as Microsoft Excel Make data dance to your tune ? learn how to reshape and manipulate data, merge data sets, split and combine data, perform calculations on vectors and arrays, and much more Visualize it ? learn to use R's powerful data visualization features to create beautiful and informative graphical presentations of your data Get statistical ? find out how to do simple statistical analysis, summarize your variables, and conduct classic statistical tests, such as t-tests Expand and customize R ? get the lowdown on how to find, install, and make the most of add-on packages created by the global R community for a wide variety of purposes Open the book and find: Help downloading, installing, and configuring R Tips for getting data in and out of R Ways to use data frames and lists to organize data How to manipulate and process data Advice on fitting regression models and ANOVA Helpful hints for working with graphics How to code in R What R mailing lists and forums can do for you
Publisher: John Wiley & Sons
ISBN: 1119963133
Category : Computers
Languages : en
Pages : 470
Book Description
Master the programming language of choice among statisticians and data analysts worldwide Coming to grips with R can be tough, even for seasoned statisticians and data analysts. Enter R For Dummies, the quick, easy way to master all the R you'll ever need. Requiring no prior programming experience and packed with practical examples, easy, step-by-step exercises, and sample code, this extremely accessible guide is the ideal introduction to R for complete beginners. It also covers many concepts that intermediate-level programmers will find extremely useful. Master your R ABCs ? get up to speed in no time with the basics, from installing and configuring R to writing simple scripts and performing simultaneous calculations on many variables Put data in its place ? get to know your way around lists, data frames, and other R data structures while learning to interact with other programs, such as Microsoft Excel Make data dance to your tune ? learn how to reshape and manipulate data, merge data sets, split and combine data, perform calculations on vectors and arrays, and much more Visualize it ? learn to use R's powerful data visualization features to create beautiful and informative graphical presentations of your data Get statistical ? find out how to do simple statistical analysis, summarize your variables, and conduct classic statistical tests, such as t-tests Expand and customize R ? get the lowdown on how to find, install, and make the most of add-on packages created by the global R community for a wide variety of purposes Open the book and find: Help downloading, installing, and configuring R Tips for getting data in and out of R Ways to use data frames and lists to organize data How to manipulate and process data Advice on fitting regression models and ANOVA Helpful hints for working with graphics How to code in R What R mailing lists and forums can do for you
Change Agent
Author: Daniel Suarez
Publisher: Penguin
ISBN: 110198466X
Category : Fiction
Languages : en
Pages : 418
Book Description
2045. Kenneth Durand leads Interpol's most effective team against genetic crime, hunting down black market labs that perform illegal procedures, augmenting embryos and rapidly accelerating human evolution-- and preying on human-trafficking victims to experiment and advance their technology. One figure looms behind it all: Marcus Demang Wyckes, leader of a cartel known as the Huli jing. When Durand is forcibly dosed with a radical new change agent, he wakes from a coma weeks later to find he's been genetically transformed into Wyckes. Determined to restore his original DNA, Durand hasn't anticipated just how difficult locating his enemy will be.
Publisher: Penguin
ISBN: 110198466X
Category : Fiction
Languages : en
Pages : 418
Book Description
2045. Kenneth Durand leads Interpol's most effective team against genetic crime, hunting down black market labs that perform illegal procedures, augmenting embryos and rapidly accelerating human evolution-- and preying on human-trafficking victims to experiment and advance their technology. One figure looms behind it all: Marcus Demang Wyckes, leader of a cartel known as the Huli jing. When Durand is forcibly dosed with a radical new change agent, he wakes from a coma weeks later to find he's been genetically transformed into Wyckes. Determined to restore his original DNA, Durand hasn't anticipated just how difficult locating his enemy will be.
Dune (Movie Tie-In)
Author: Frank Herbert
Publisher: Penguin
ISBN: 0593640349
Category : Fiction
Languages : en
Pages : 897
Book Description
• DUNE: PART TWO • THE MAJOR MOTION PICTURE COMING NOVEMBER 3rd, 2023 Directed by Denis Villeneuve, screenplay by Denis Villeneuve and Jon Spaihts, based on the novel Dune by Frank Herbert • Starring Timothée Chalamet, Zendaya, Rebecca Ferguson, Josh Brolin, Austin Butler, Florence Pugh, Dave Bautista, Christopher Walken, Stephen McKinley Henderson, Léa Seydoux, with Stellan Skarsgård, with Charlotte Rampling, and Javier Bardem Frank Herbert’s classic masterpiece—a triumph of the imagination and one of the bestselling science fiction novels of all time. Set on the desert planet Arrakis, Dune is the story of Paul Atreides−who would become known as Maud'Dib—and of a great family's ambition to bring to fruition humankind’s most ancient and unattainable dream. A stunning blend of adventure and mysticism, environmentalism and politics, Dune won the first Nebula Award, shared the Hugo Award, and formed the basis of what is undoubtedly the grandest epic in science fiction.
Publisher: Penguin
ISBN: 0593640349
Category : Fiction
Languages : en
Pages : 897
Book Description
• DUNE: PART TWO • THE MAJOR MOTION PICTURE COMING NOVEMBER 3rd, 2023 Directed by Denis Villeneuve, screenplay by Denis Villeneuve and Jon Spaihts, based on the novel Dune by Frank Herbert • Starring Timothée Chalamet, Zendaya, Rebecca Ferguson, Josh Brolin, Austin Butler, Florence Pugh, Dave Bautista, Christopher Walken, Stephen McKinley Henderson, Léa Seydoux, with Stellan Skarsgård, with Charlotte Rampling, and Javier Bardem Frank Herbert’s classic masterpiece—a triumph of the imagination and one of the bestselling science fiction novels of all time. Set on the desert planet Arrakis, Dune is the story of Paul Atreides−who would become known as Maud'Dib—and of a great family's ambition to bring to fruition humankind’s most ancient and unattainable dream. A stunning blend of adventure and mysticism, environmentalism and politics, Dune won the first Nebula Award, shared the Hugo Award, and formed the basis of what is undoubtedly the grandest epic in science fiction.
An Introduction to Applied Multivariate Analysis with R
Author: Brian Everitt
Publisher: Springer Science & Business Media
ISBN: 1441996508
Category : Mathematics
Languages : en
Pages : 284
Book Description
The majority of data sets collected by researchers in all disciplines are multivariate, meaning that several measurements, observations, or recordings are taken on each of the units in the data set. These units might be human subjects, archaeological artifacts, countries, or a vast variety of other things. In a few cases, it may be sensible to isolate each variable and study it separately, but in most instances all the variables need to be examined simultaneously in order to fully grasp the structure and key features of the data. For this purpose, one or another method of multivariate analysis might be helpful, and it is with such methods that this book is largely concerned. Multivariate analysis includes methods both for describing and exploring such data and for making formal inferences about them. The aim of all the techniques is, in general sense, to display or extract the signal in the data in the presence of noise and to find out what the data show us in the midst of their apparent chaos. An Introduction to Applied Multivariate Analysis with R explores the correct application of these methods so as to extract as much information as possible from the data at hand, particularly as some type of graphical representation, via the R software. Throughout the book, the authors give many examples of R code used to apply the multivariate techniques to multivariate data.
Publisher: Springer Science & Business Media
ISBN: 1441996508
Category : Mathematics
Languages : en
Pages : 284
Book Description
The majority of data sets collected by researchers in all disciplines are multivariate, meaning that several measurements, observations, or recordings are taken on each of the units in the data set. These units might be human subjects, archaeological artifacts, countries, or a vast variety of other things. In a few cases, it may be sensible to isolate each variable and study it separately, but in most instances all the variables need to be examined simultaneously in order to fully grasp the structure and key features of the data. For this purpose, one or another method of multivariate analysis might be helpful, and it is with such methods that this book is largely concerned. Multivariate analysis includes methods both for describing and exploring such data and for making formal inferences about them. The aim of all the techniques is, in general sense, to display or extract the signal in the data in the presence of noise and to find out what the data show us in the midst of their apparent chaos. An Introduction to Applied Multivariate Analysis with R explores the correct application of these methods so as to extract as much information as possible from the data at hand, particularly as some type of graphical representation, via the R software. Throughout the book, the authors give many examples of R code used to apply the multivariate techniques to multivariate data.