Vector Basic Training
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| Author | : Von Glitschka |
| Publisher | : New Riders |
| Total Pages | : 494 |
| Release | : 2015-09-21 |
| Genre | : Computers |
| ISBN | : 013416508X |
Attention, designers, it’s time to get serious about your creative process. For too long you’ve allowed yourself to go soft, relying on your software to do all of your creative work at the expense of your craftsmanship. This book will NOT show you how to use every tool and feature in Adobe Illustrator. This book WILL, however, teach you the importance of drawing out your ideas, analyzing the shapes, and then methodically building them precisely in vector form using the techniques explained in this book. In Vector Basic Training, Second Edition acclaimed illustrative designer Von Glitschka takes you through his systematic process for creating the kind of precise vector graphics that separate the pros from the mere toolers. Along the way, he’ll whip your drawing skills into shape and show you how to create elegant curves and precise anchor points for your designs. In addition to new illustrative examples throughout the book, this edition includes an all-new chapter on how to apply color and detail to your illustrations using tried-and-true methods that you’ll use over and over again. You’ll also get access to over seven hours of all-new HD video tutorials and source files so you can follow along with Von as he walks you through his entire process. Whether you’re creating illustrations in Adobe Illustrator, Affinity Designer, CorelDRAW, or even Inkscape, you’ll be able to use Von’s techniques to establish a successful creative process for crafting consistently precise illustrations every single time you pick you up your pen, stylus, or mouse. In Vector Basic Training, Second Edition, you’ll learn: The tools and shortcuts that make up a design pro’s creative arsenal How to use “The Clockwork Method” to create accurate curves every time When and where to set just the right number of anchor points for any design How to build shapes quickly using basic Illustrator tools and plug-ins Techniques for art directing yourself to get the results you desire Fundamental methods for applying color and detail to your illustrations
| Author | : Von Glitschka |
| Publisher | : Pearson Education |
| Total Pages | : 524 |
| Release | : 2010-12-22 |
| Genre | : Computers |
| ISBN | : 0132490781 |
Listen up, designers, and wipe those grins off your faces! It’s time to get serious about your design work. For too long you’ve allowed yourself to go soft, relying on your software to do all of your creative work for you. This book will NOT show you how to use every tool and feature in Adobe Illustrator. This book WILL, however, teach you the importance of drawing out your ideas, analyzing the shapes, and then methodically building them precisely in vector form using the methods covered in this book. ¿ In Vector Basic Training, acclaimed iillustrative designer Von Glitschka takes you through his systematic process for creating the kind of precise vector graphics that separate the pros from the toolers and hacks. Along the way, he’ll whip your drawing skills into shape and show you how to create elegant curves and precise anchor points for your designs. Between the book and the video tutorials on the included DVD, you’ll be ready for active creative duty in zero hundred hours or less.¿ ¿ In Vector Basic Training, you’ll learn: ¿The tools, plugins, and shortcuts that make up a design pro’s creative armament How to use “The Clockwork Method” to create accurate curves every time When and where to set just the right number of anchor points for any design How to build shapes quickly using familiar Illustrator tools Techniques for art directing yourself so that your work gets the response you desire Why symmetry is your friend and how to use it effectively in your designs Available by download: Von Glitschka reports for duty in over an hour’s worth of video tutorials that walk you through all of the techniques explained in the book. Also included: downloadable art files you can use to follow along on your own. See the instructions for download at the end of your ebook.
| Author | : R. Shankar |
| Publisher | : Springer |
| Total Pages | : 371 |
| Release | : 2013-12-20 |
| Genre | : Science |
| ISBN | : 1489967982 |
Based on course material used by the author at Yale University, this practical text addresses the widening gap found between the mathematics required for upper-level courses in the physical sciences and the knowledge of incoming students. This superb book offers students an excellent opportunity to strengthen their mathematical skills by solving various problems in differential calculus. By covering material in its simplest form, students can look forward to a smooth entry into any course in the physical sciences.
| Author | : Von R. Glitschka |
| Publisher | : Pearson Education |
| Total Pages | : 456 |
| Release | : 2010-12-22 |
| Genre | : Computers |
| ISBN | : 0132711761 |
This enhanced e-book combines video and text to create a learning experience that is engaging, informative and fun. In addition to the full text of Vector Basic Training, you’ll find high-quality video training that brings the topics to life through friendly visual instruction from experts and industry professionals. Listen up, designers, and wipe those grins off your faces! It’s time to get serious about your design work. For too long you’ve allowed yourself to slack off, relying on your software to do all of your creative work for you. This book will NOT show you how to use every tool and feature in Adobe Illustrator. This book WILL, however, teach you the importance of drawing out your ideas, analyzing the shapes, and then methodically building them precisely in vector form using the techniques explained in this book. In Vector Basic Training, acclaimed illustrative designer Von Glitschka takes you through his systematic process for creating the kind of precise vector graphics that separate the pros from the mere toolers. Along the way, he’ll whip your drawing skills into shape and show you how to create elegant curves and precise anchor points for your designs. The book and accompanying video tutorials will get you ready for active creative duty in zero hundred hours or less. In Vector Basic Training, you’ll learn: ¿The tools, plugins, and shortcuts that make up a design pro’s creative armament How to use “The Clockwork Method” to create accurate curves every time When and where to set just the right number of anchor points for any design How to build shapes quickly using familiar Illustrator tools Techniques for art directing yourself so that your work gets the response you desire Why symmetry is your friend and how to use it effectively in your designs Von Glitschka reports for duty in over 4 hours’ worth of video tutorials that walk you through all the techniques explained in the book. Art files you can use to follow along with the book’s samples are downloadable separately (see last page of your eBook for download instructions).
| Author | : Stephen Boyd |
| Publisher | : Cambridge University Press |
| Total Pages | : 477 |
| Release | : 2018-06-07 |
| Genre | : Business & Economics |
| ISBN | : 1316518965 |
A groundbreaking introduction to vectors, matrices, and least squares for engineering applications, offering a wealth of practical examples.
| Author | : Bernhard Scholkopf |
| Publisher | : MIT Press |
| Total Pages | : 645 |
| Release | : 2018-06-05 |
| Genre | : Computers |
| ISBN | : 0262536579 |
A comprehensive introduction to Support Vector Machines and related kernel methods. In the 1990s, a new type of learning algorithm was developed, based on results from statistical learning theory: the Support Vector Machine (SVM). This gave rise to a new class of theoretically elegant learning machines that use a central concept of SVMs—-kernels—for a number of learning tasks. Kernel machines provide a modular framework that can be adapted to different tasks and domains by the choice of the kernel function and the base algorithm. They are replacing neural networks in a variety of fields, including engineering, information retrieval, and bioinformatics. Learning with Kernels provides an introduction to SVMs and related kernel methods. Although the book begins with the basics, it also includes the latest research. It provides all of the concepts necessary to enable a reader equipped with some basic mathematical knowledge to enter the world of machine learning using theoretically well-founded yet easy-to-use kernel algorithms and to understand and apply the powerful algorithms that have been developed over the last few years.
| Author | : Marc Peter Deisenroth |
| Publisher | : Cambridge University Press |
| Total Pages | : 392 |
| Release | : 2020-04-23 |
| Genre | : Computers |
| ISBN | : 1108569323 |
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 | : Daniel Navarro |
| Publisher | : Lulu.com |
| Total Pages | : 617 |
| Release | : 2013-01-13 |
| Genre | : Computers |
| ISBN | : 1326189727 |
"Learning Statistics with R" covers the contents of an introductory statistics class, as typically taught to undergraduate psychology students, focusing on the use of the R statistical software and adopting a light, conversational style throughout. The book discusses how to get started in R, and gives an introduction to data manipulation and writing scripts. From a statistical perspective, the book discusses descriptive statistics and graphing first, followed by chapters on probability theory, sampling and estimation, and null hypothesis testing. After introducing the theory, the book covers the analysis of contingency tables, t-tests, ANOVAs and regression. Bayesian statistics are covered at the end of the book. For more information (and the opportunity to check the book out before you buy!) visit http://ua.edu.au/ccs/teaching/lsr or http://learningstatisticswithr.com
| Author | : Hadley Wickham |
| Publisher | : "O'Reilly Media, Inc." |
| Total Pages | : 521 |
| Release | : 2016-12-12 |
| Genre | : Computers |
| ISBN | : 1491910364 |
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 the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you've learned along the way. You'll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true "signals" in your dataset Communicate—learn R Markdown for integrating prose, code, and results
| Author | : Matthias Beck |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 185 |
| Release | : 2010-08-17 |
| Genre | : Mathematics |
| ISBN | : 1441970231 |
The Art of Proof is designed for a one-semester or two-quarter course. A typical student will have studied calculus (perhaps also linear algebra) with reasonable success. With an artful mixture of chatty style and interesting examples, the student's previous intuitive knowledge is placed on solid intellectual ground. The topics covered include: integers, induction, algorithms, real numbers, rational numbers, modular arithmetic, limits, and uncountable sets. Methods, such as axiom, theorem and proof, are taught while discussing the mathematics rather than in abstract isolation. The book ends with short essays on further topics suitable for seminar-style presentation by small teams of students, either in class or in a mathematics club setting. These include: continuity, cryptography, groups, complex numbers, ordinal number, and generating functions.
