With realistic practice, proven strategies, and expert guidance, Kaplan's GED Test Prep Plus 2019 gives you everything you need to pass the test. Kaplan is the official partner for live online prep for the GED test and our content is 100% aligned with the GED test objectives. For more information, visit kaptest.com/gedlive.While other GED guides are intended for classroom use, our book is designed for self-study so you can prep at your own pace, on your own schedule. We’re so confident that GED Test Prep Plus 2019 offers the guidance you need that we guarantee it: After studying with our boo... [Read More]
This is the second edition of John Zelle's Python Programming, updated for Python 3. This book is designed to be used as the primary textbook in a college-level first course in computing. It takes a fairly traditional approach, emphasizing problem solving, design, and programming as the core skills of computer science. However, these ideas are illustrated using a non-traditional language, namely Python. Although Python is used as the language, teaching Python is not the main point of this book. Rather, Python is used to illustrate fundamental principles of design and programming that apply in ... [Read More]
Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible.Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You’ll get a complete, big-picture understanding of t... [Read More]
A manifesto for a mathematical revolutionForget everything you've been taught about math. In Burn Math Class, Jason Wilkes takes the traditional approach to how we learn math--with its unwelcoming textbooks, unexplained rules, and authoritarian assertions-and sets it on fire.Focusing on how mathematics is created rather than on mathematical facts, Wilkes teaches the subject in a way that requires no memorization and no prior knowledge beyond addition and multiplication. From these simple foundations, Burn Math Class shows how mathematics can be (re)invented from scratch without preexisting tex... [Read More]
This is the first textbook on pattern recognition to present the Bayesian viewpoint. The book presents approximate inference algorithms that permit fast approximate answers in situations where exact answers are not feasible. It uses graphical models to describe probability distributions when no other books apply graphical models to machine learning. No previous knowledge of pattern recognition or machine learning concepts is assumed. Familiarity with multivariate calculus and basic linear algebra is required, and some experience in the use of probabilities would be helpful though not essential... [Read More]
An Active Learning Approach to Teaching the Main Ideas in Computing Explorations in Computing: An Introduction to Computer Science and Python Programming teaches computer science students how to use programming skills to explore fundamental concepts and computational approaches to solving problems. Tbook gives beginning students an introduction to computer science concepts and computer programming. Designed for CS0 and CS1 courses, it is very well suited for alternative lecture styles, including flipped classrooms. Prepares Students for Advanced Work in Computer ScienceA revised and updated ve... [Read More]
Now in its third edition, Mathematical Concepts in the Physical Sciences, 3rd Edition provides a comprehensive introduction to the areas of mathematical physics. It combines all the essential math concepts into one compact, clearly written reference. This book is intended for students who have had a two-semester or three-semester introductory calculus course. Its purpose is to help students develop, in a short time, a basic competence in each of the many areas of mathematics needed in advanced courses in physics, chemistry, and engineering. Students are given sufficient depth to gain a so... [Read More]
An introductory textbook on data analysis and statistics written especially for students in the social sciences and allied fieldsQuantitative analysis is an increasingly essential skill for social science research, yet students in the social sciences and related areas typically receive little training in it―or if they do, they usually end up in statistics classes that offer few insights into their field. This textbook is a practical introduction to data analysis and statistics written especially for undergraduates and beginning graduate students in the social sciences and allied fields, such... [Read More]
Would you like to have better solutions to your problems? Struggling to understand why things went wrong when you did everything right? Learn to Think in Systems can help you with these problems. Systems surround us and we might not even be aware of it. Your household is a system. The bakery on the corner is a system. Your class at school, your department at work, and your weekend soccer team made of wholehearted dads is a system too. You are a vital part of more complex systems like your country, the economy, or the world; learn about their changing nature, and find optimal solutions to pro... [Read More]
This book is about relations between three different areas of mathematics and theoretical computer science: combinatorial group theory, cryptography, and complexity theory. It is explored how non-commutative (infinite) groups, which are typically studied in combinatorial group theory, can be used in public key cryptography. It is also shown that there is a remarkable feedback from cryptography to combinatorial group theory because some of the problems motivated by cryptography appear to be new to group theory, and they open many interesting research avenues within group theory. Then, complexit... [Read More]
Learn How to Properly Analyze Categorical DataAnalysis of Categorical Data with R presents a modern account of categorical data analysis using the popular R software. It covers recent techniques of model building and assessment for binary, multicategory, and count response variables and discusses fundamentals, such as odds ratio and probability estimation. The authors give detailed advice and guidelines on which procedures to use and why to use them. The Use of R as Both a Data Analysis Method and a Learning ToolRequiring no prior experience with R, the text offers an introduction to the essen... [Read More]
"Deserves a spot next to Fast Food Nation and To Kill a Mockingbird in America’s high school curriculums. To say it may save lives is self-evident.” —New York Times Book Review (Editor's Choice)NEW YORK TIMES BESTSELLER • A BEST BOOK OF THE YEAR: San Francisco Chronicle, Chrisitian Science Monitor, Amazon, Kirkus, Winnipeg Free PressOne of the decade's most original and masterfully reported books, A Deadly Wandering by Pulitzer Prize–winning New York Times journalist Matt Richtel interweaves the cutting-edge science of attention with the tensely plotted story of a mysterious ... [Read More]
Learning Processing, Second Edition, is a friendly start up guide to Processing, a free, open source alternative to expensive software and daunting programming languages. Requiring no previous experience, this book is for the true programming beginner. It teaches the basic building blocks of programming needed to create cutting edge graphics applications including interactive art, live video processing, and data visualization. Step by step examples, thorough explanations, hands on exercises, and sample code, supports your learning curve. A unique lab style manual, the book gives graphic and we... [Read More]
Mathematics: Compiled from the Best Authors, and Intended to Be the Text-Book of the Course of Private Lectures on These Sciences i Height : 1.06 In Length : 9.69 In Width : 7.44 In Weight
Mathematics, Compiled from the Best Authors and Intended to Be the Text-Book of the Course of Private Lectures on These Sciences in the University
Mathematics, Compiled from the Best Authors and Intended to Be the Text-Book of the Course of Private Lectures on These Sciences in the University
Mathematics, Compiled from the Best Authors and Intended to Be the Text-Book of the Course of Private Lectures on These Sciences in the University
Mathematics, Compiled from the Best Authors and Intended to Be the Text-Book of the Course of Private Lectures on These Sciences in the University
Mathematics, Compiled from the Best Authors and Intended to Be the Text-Book of the Course of Private Lectures on These Sciences in the University
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