A survey of the built environment distills the work of legendary author and illustrator Francis D. K. Ching into a single volume Introduction to Architecture presents the essential texts and drawings of Francis D. K. Ching for those new to architecture and design. With his typical highly graphic approach, this is the first introductory text from Ching that surveys the design of spaces, buildings, and cities. In an easy to understand format, readers will explore the histories and theories of architecture, design elements and process, and the technical aspects of the contemporary profession of architecture. The book explains the experience and practice of architecture and allied disciplines for future professionals, while those who love the beauty of architecture drawing will delight in the gorgeous illustrations included. Overview of the issues and practices of architecture in an all-in-one introductory text Includes new chapters and introductory essays by James Eckler, and features more than 1,000 drawings throughout Professor Ching is the bestselling author of numerous books on architecture and design, all published by Wiley; his works have been translated into 16 languages and are regarded as classics for their renowned graphical presentation For those pursuing a career in architecture or anyone who loves architectural design and drawing, Introduction to Architecture presents a beautifully illustrated and comprehensive guide to the subject.

The bestselling guide to architectural drawing, with new information, examples, and resources
Architectural Graphics is the classic bestselling reference by one of the leading global authorities on architectural design drawing, Francis D.K. Ching. Now in its sixth edition, this essential guide offers a comprehensive introduction to using graphic tools and drafting conventions to translate architectural ideas into effective visual presentations, using hundreds of the author's distinctive drawings to illustrate the topic effectively. This updated edition includes new information on orthographic projection in relation to 3D models, and revised explanations of line weights, scale and dimensioning, and perspective drawing to clarify some of the most difficult concepts. New examples of modern furniture, APA facilities, and presentation layout provide more up-to-date visuals, and the Reference Center features all new animations, videos, and practice exercises.
Architectural graphics are key tools for conveying design through representation on paper or on screen, and this book is the ultimate guide to mastering the skill, then applying your talent to create more effective design communication.
Understand multiview, paraline, and perspective drawing
Master interior sections using a variety of techniques
Render tonal value, enhance depth, and convey illumination
Develop professional-quality layouts for presentations
Architectural graphics both inform the design process and serve as the means by which a design is interpreted and built. Complete mastery of the tools and conventions is essential to the successful outcome of any project, and mistakes can cause confusion, time delays, increased costs, and possible catastrophe. Architectural Graphics is the comprehensive guide to professional architectural drawing, with insight from a leading authority in the field.

Using Francis D.K. Ching's signature presentation, all of the architectural topics covered in this other books are distilled here to serve as an essential one-volume reference. It is the only dictionary that provides concise, accurate definitions illustrated with finely detailed, hand-rendered drawings. From Arch to Wood, every concept, technology, material and detail important to architects and designers are presented in Ching's unique style. Combining text and drawing, each term is givena minimumdouble-pagespread on large format trim size, so that the term can be comprehensively explored, graphically showing relations between concepts and sub-terms. This long-awaited revision brings the latest concepts and technology of 21st century architecture, design and construction to this classic reference work. It is sure to be by the side ofand used by any serious architect or designer.

A breakthrough trading book that provides powerful insights on profitable technical patterns and strategies The Art and Science of Technical Analysis is a groundbreaking work that bridges the gaps between the academic view of markets, technical analysis, and profitable trading. The book explores why randomness prevails in markets most, but not all, of the time and how technical analysis can be used to capture statistically validated patterns in certain types of market conditions. The belief of the book is that buying and selling pressure causes patterns in prices, but that these technical patterns are only effective in the presence of true buying/selling imbalance. The Art and Science of Technical Analysis is supported by extensive statistical analysis of the markets, which will debunk some tools and patterns such as Fibonacci analysis, and endorse other tools and trade setups. In addition, this reliable resource discusses trader psychology and trader learning curves based on the author's extensive experience as a trader and trainer of traders.* Offers serious traders a way to think about market problems, understand their own performance, and help find a more productive path forward* Includes extensive research to validate specific money-making patterns and strategies* Written by an experienced market practitioner who has trained and worked with many top traders Filled with in-depth insights and practical advice, The Art and Science of Technical Analysis will give you a realistic sense of how markets behave, when and how technical analysis works, and what it really takes to trade successfully.

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Evidence–Based Technical Analysis examines how you can apply the scientific method, and recently developed statistical tests, to determine the true effectiveness of technical trading signals. Throughout the book, expert David Aronson provides you with comprehensive coverage of this new methodology, which is specifically designed for evaluating the performance of rules/signals that are discovered by data mining.

Discover the Ideal Investment Strategy for Yourself and Your Clients "To enhance investment results and boost creativity, Jim Ware replaces the maxim know your investments with know yourself. And he gives us specific testing tools to do the job."-Dean LeBaron, Founder, Batterymarch Financial Management, Chairman, Virtualquest.company, and investment author and commentator "Many investment firms fail, even though they are run by intelligent, qualified professionals, because they lack creativity. This book can rescue you. Jim Ware explains how to organize your business to encourage creative thinking. In five years, your customers will be working with an advisor who read this book, so make sure you are the one who did."-Ralph Wanger, President, Acorn Investment Trust, CFA and author of A Zebra in Lion Country: Ralph Wanger's Guide to Investment Survival "Jim Ware has a great knack for understanding people and successful investing. This unusual combination of skills creates a rare find: useful insights to improve investment performance through helping people work together better. Jim's wit and humor make this a fun read as well!" -Dee Even, Senior Investment Officer, Allstate Insurance Company, Property & Casualty "The Psychology of Money represents a major step toward development of a portfolio theory that recognizes human dynamics and differences among people. Jim's content is solid, and his presentation is engaging. This book ought to be on every practitioner's bookshelf."-Kenneth O. Doyle, University of Minnesota, Author, The Social Meanings of Money and Property: In Search of a Talisman "Finally, an insightful look at the human side of investing. A step-by-step guide to enhancing management performance to increase returns."- Abbie Smith, PhD, Professor of Accounting.University of Chicago Business School

This is not a book. It is a one-of-a-kind immersive learning experience through which you can become―or teach others to be―a powerful data storyteller.
Let’s practice! helps you build confidence and credibility to create graphs and visualizations that make sense and weave them into action-inspiring stories. Expanding upon best seller storytelling with data’s foundational lessons, Let’s practice! delivers fresh content, a plethora of new examples, and over 100 hands-on exercises. Author and data storytelling maven Cole Nussbaumer Knaflic guides you along the path to hone core skills and become a well-practiced data communicator. Each chapter includes:
● Practice with Cole: exercises based on real-world examples first posed for you to consider and solve, followed by detailed step-by-step illustration and explanation
● Practice on your own: thought-provoking questions and even more exercises to be assigned or worked through individually, without prescribed solutions
● Practice at work: practical guidance and hands-on exercises for applying storytelling with data lessons on the job, including instruction on when and how to solicit useful feedback and refine for greater impact
The lessons and exercises found within this comprehensive guide will empower you to master―or develop in others―data storytelling skills and transition your work from acceptable to exceptional. By investing in these skills for ourselves and our teams, we can all tell inspiring and influential data stories!

Structural Analysis of Historic Buildings offers the most' complete, detailed, and authentic data available on the materials, calculation methods, and design techniques used by architects and engineers of the nineteenth and early twentieth centuries. It provides today's building professionals with information needed to analyze, modify, and certify historic buildings for modern use. Among the many important features of this book not available in any other single volume are:
* More than 350 line drawings and diagrams taken directly from original sources such as the Carnegie Steele Company's Pocket Companion (1893) and Frank Kidder's The Architect's and Builder's Pocketbook (1902)
* Hard-to-find data on period structural components, such as cast-iron columns and beams, wrought-iron columns and beams, and fireproof terra cotta floor arches
* Methods for determining what kind of loads structural components were originally designed to bear and methods to determine if they are still capable of performing as intended
* Extensive coverage of historical foundation systems and empirical design methods for load-bearing masonry buildings
For any building professional involved in the rapidly growing field of restoring, preserving, and adapting historic buildings, Structural Analysis of Historic Buildings is an invaluable structural handbook.

Rem Koolhaas has defined architecture as a chaotic adventure. Nothing could be more true than that of the last two decades. Never has architecture been so unbridled and so extraordinary: the architectural cast has never been so wide and their works so diverse. What though if you are new to the subject? How is it possible to make sense of this seemingly unruly architectural landscape? There are so many different types of architecture, so many designers with such varying and even contradictory approaches. This book is a much needed navigation guide for anyone interested in modern architecture. Organised chronologically, it enables you to find your way through one of the most prolific periods of building design. It looks at buildings in often contrasting styles that have been built almost simultaneously across the world with their roots in very different tendencies and schools of thought. A loose but effective framework is provided, which pulls all these multiple threads together, while key buildings are described individually with a unique clarity and precision. Covers seminal works, such as Guggenheim Bilbao and the Jewish Museum in Berlin. Features key architects: Norman Foster, Zaha Hadid, Herzog & de Meuron, Toyo Ito, Rem Koolhaas, Jean Nouvel and Renzo Piano Illustrated with more than 220 colour images Order your copy today.

Frontier Assemblages offers a new framework for thinking about resource frontiers in Asia
-Presents an empirical understanding of resource frontiers and provides tools for broader engagements and linkages
-Filled with rich ethnographic and historical case studies and contains contributions from noted scholars in the field
-Explores the political ecology of extraction, expansion and production in marginal spaces in Asia
-Maps the flows, frictions, interests and imaginations that accumulate in Asia to transformative effect
-Brings together noted anthropologists, geographers and sociologists

Data Science gets thrown around in the press like it's magic. Major retailers are predicting everything from when their customers are pregnant to when they want a new pair of Chuck Taylors. It's a brave new world where seemingly meaningless data can be transformed into valuable insight to drive smart business decisions. But how does one exactly do data science? Do you have to hire one of these priests of the dark arts, the "data scientist," to extract this gold from your data? Nope. Data science is little more than using straight-forward steps to process raw data into actionable insight. And in Data Smart , author and data scientist John Foreman will show you how that's done within the familiar environment of a spreadsheet. Why a spreadsheet? It's comfortable! You get to look at the data every step of the way, building confidence as you learn the tricks of the trade. Plus, spreadsheets are a vendor-neutral place to learn data science without the hype. But don't let the Excel sheets fool you. This is a book for those serious about learning the analytic techniques, the math and the magic, behind big data. Each chapter will cover a different technique in a spreadsheet so you can follow along: Mathematical optimization, including non-linear programming and genetic algorithms Clustering via k-means, spherical k-means, and graph modularity Data mining in graphs, such as outlier detection Supervised AI through logistic regression, ensemble models, and bag-of-words models Forecasting, seasonal adjustments, and prediction intervals through monte carlo simulation Moving from spreadsheets into the R programming language You get your hands dirty as you work alongside John through each technique. But never fear, the topics are readily applicable and the author laces humor throughout. You'll even learn what a dead squirrel has to do with optimization modeling, which you no doubt are dying to know.

A thought-provoking look at statistical learning theory and its role in understanding human learning and inductive reasoning</bA joint endeavor from leading researchers in the fields of philosophy and electrical engineering, An Elementary Introduction to Statistical Learning Theory is a comprehensive and accessible primer on the rapidly evolving fields of statistical pattern recognition and statistical learning theory. Explaining these areas at a level and in a way that is not often found in other books on the topic, the authors present the basic theory behind contemporary machine learning and uniquely utilize its foundations as a framework for philosophical thinking about inductive inferencePromoting the fundamental goal of statistical learning, knowing what is achievable and what is not, this book demonstrates the value of a systematic methodology when used along with the needed techniques for evaluating the performance of a learning system. First, an introduction to machine learning is presented that includes brief discussions of applications such as image recognition, speech recognition, medical diagnostics, and statistical arbitrage. To enhance accessibility, two chapters on relevant aspects of probability theory are provided. Subsequent chapters feature coverage of topics such as the pattern recognition problem, optimal Bayes decision rule, the nearest neighbor rule, kernel rules, neural networks, support vector machines, and boostingAppendices throughout the book explore the relationship between the discussed material and related topics from mathematics, philosophy, psychology, and statistics, drawing insightful connections between problems in these areas and statistical learning theory. All chapters conclude with a summary section, a set of practice questions, and a reference sections that supplies historical notes and additional resources for further studyAn Elementary Introduction to Statistical Learning Theory is an excellent book for courses on statistical learning theory, pattern recognition, and machine learning at the upper-undergraduate and graduatelevels. It also serves as an introductory reference for researchers and practitioners in the fields of engineering, computer science, philosophy, and cognitive science that would like to further their knowledge of the topic.

When engineers, computer scientists, and economists need to learn how to read, think about, and create proofs, they turn to Solow. In order to make the material more relevant, the exercises in each chapter have been revised and expanded. New and more complete discussions are included on how to use a previously-proved proposition in both the forward and backward processes. The fifth edition also presents new, self-contained chapters on uniqueness, induction, either/or, and max/min methods. Several final examples of how to read and do proofs are included in the final chapter to reinforce the reader’s knowledge of the various proof techniques.