Author: Susan Baing
Publisher:
ISBN: 9780195578850
Category : History
Languages : en
Pages : 341
Book Description
Save Buk: PNG Upper Secondary - History Grade 12
Author: Susan Baing
Publisher:
ISBN: 9780195578867
Category : History
Languages : en
Pages : 320
Book Description
Publisher:
ISBN: 9780195578867
Category : History
Languages : en
Pages : 320
Book Description
Save Buk: PNG Upper Secondary - History Grade 11
Author: Susan Baing
Publisher:
ISBN: 9780195578850
Category : History
Languages : en
Pages : 341
Book Description
Publisher:
ISBN: 9780195578850
Category : History
Languages : en
Pages : 341
Book Description
Chemistry Twelve
Author: Reddy Kuama
Publisher:
ISBN: 9780195578805
Category : Chemistry
Languages : en
Pages : 438
Book Description
Publisher:
ISBN: 9780195578805
Category : Chemistry
Languages : en
Pages : 438
Book Description
The World Book Encyclopedia
Author:
Publisher:
ISBN:
Category : Encyclopedias and dictionaries
Languages : en
Pages : 554
Book Description
An encyclopedia designed especially to meet the needs of elementary, junior high, and senior high school students.
Publisher:
ISBN:
Category : Encyclopedias and dictionaries
Languages : en
Pages : 554
Book Description
An encyclopedia designed especially to meet the needs of elementary, junior high, and senior high school students.
Eleven
Author: Christine McRae
Publisher:
ISBN: 9780195578713
Category : Mathematics
Languages : en
Pages : 511
Book Description
Publisher:
ISBN: 9780195578713
Category : Mathematics
Languages : en
Pages : 511
Book Description
Key Features of Modern History
Author: Bruce Dennett
Publisher:
ISBN: 9780195516333
Category : History, Modern
Languages : en
Pages : 482
Book Description
Publisher:
ISBN: 9780195516333
Category : History, Modern
Languages : en
Pages : 482
Book Description
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.
Curriculum Overload A Way Forward
Author: OECD
Publisher: OECD Publishing
ISBN: 9264819703
Category :
Languages : en
Pages : 98
Book Description
Schools are constantly under pressure to keep up with the pace of changes in society. In parallel, societal demands for what schools should teach are also constantly changing; often driven by political agendas, ideologies, or parental pressures, to add global competency, digital literacy, data literacy, environmental literacy, media literacy, social-emotional skills, etc. This “curriculum expansion” puts pressure on policy makers and schools to add new contents to already crowded curriculum.
Publisher: OECD Publishing
ISBN: 9264819703
Category :
Languages : en
Pages : 98
Book Description
Schools are constantly under pressure to keep up with the pace of changes in society. In parallel, societal demands for what schools should teach are also constantly changing; often driven by political agendas, ideologies, or parental pressures, to add global competency, digital literacy, data literacy, environmental literacy, media literacy, social-emotional skills, etc. This “curriculum expansion” puts pressure on policy makers and schools to add new contents to already crowded curriculum.
Economics in One Lesson
Author: Henry Hazlitt
Publisher: Crown Currency
ISBN: 0307760626
Category : Business & Economics
Languages : en
Pages : 220
Book Description
With over a million copies sold, Economics in One Lesson is an essential guide to the basics of economic theory. A fundamental influence on modern libertarianism, Hazlitt defends capitalism and the free market from economic myths that persist to this day. Considered among the leading economic thinkers of the “Austrian School,” which includes Carl Menger, Ludwig von Mises, Friedrich (F.A.) Hayek, and others, Henry Hazlitt (1894-1993), was a libertarian philosopher, an economist, and a journalist. He was the founding vice-president of the Foundation for Economic Education and an early editor of The Freeman magazine, an influential libertarian publication. Hazlitt wrote Economics in One Lesson, his seminal work, in 1946. Concise and instructive, it is also deceptively prescient and far-reaching in its efforts to dissemble economic fallacies that are so prevalent they have almost become a new orthodoxy. Economic commentators across the political spectrum have credited Hazlitt with foreseeing the collapse of the global economy which occurred more than 50 years after the initial publication of Economics in One Lesson. Hazlitt’s focus on non-governmental solutions, strong — and strongly reasoned — anti-deficit position, and general emphasis on free markets, economic liberty of individuals, and the dangers of government intervention make Economics in One Lesson every bit as relevant and valuable today as it has been since publication.
Publisher: Crown Currency
ISBN: 0307760626
Category : Business & Economics
Languages : en
Pages : 220
Book Description
With over a million copies sold, Economics in One Lesson is an essential guide to the basics of economic theory. A fundamental influence on modern libertarianism, Hazlitt defends capitalism and the free market from economic myths that persist to this day. Considered among the leading economic thinkers of the “Austrian School,” which includes Carl Menger, Ludwig von Mises, Friedrich (F.A.) Hayek, and others, Henry Hazlitt (1894-1993), was a libertarian philosopher, an economist, and a journalist. He was the founding vice-president of the Foundation for Economic Education and an early editor of The Freeman magazine, an influential libertarian publication. Hazlitt wrote Economics in One Lesson, his seminal work, in 1946. Concise and instructive, it is also deceptively prescient and far-reaching in its efforts to dissemble economic fallacies that are so prevalent they have almost become a new orthodoxy. Economic commentators across the political spectrum have credited Hazlitt with foreseeing the collapse of the global economy which occurred more than 50 years after the initial publication of Economics in One Lesson. Hazlitt’s focus on non-governmental solutions, strong — and strongly reasoned — anti-deficit position, and general emphasis on free markets, economic liberty of individuals, and the dangers of government intervention make Economics in One Lesson every bit as relevant and valuable today as it has been since publication.
UNESCO Guidebook on Textbook Research and Textbook Revision
Author: Falk Pingel
Publisher: UNESCO
ISBN: 923104141X
Category : Education
Languages : en
Pages : 83
Book Description
Publisher: UNESCO
ISBN: 923104141X
Category : Education
Languages : en
Pages : 83
Book Description