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Improve Your Ability to Read and Interpret All Types of Construction Drawings Blueprint Reading is a step-by-step guide to reading and interpreting all types of construction drawings. Filled with hundreds of illustrations and study questions, this easy-to-use resource offers a complete overview of construction drawing basics for every aspect of the construction process- from site work, foundations, and structural systems to interior work and finishes. Covering all the latest technological advances, noted architect Sam Kubba offers detailed information on: Blueprint standards-ANSI, ISO, AWS, and ASME Computer-aided design (CAD) and computer-aided design and drafting (CADD) Lines, views, elevations, and dimensions Layouts of all construction drawing types-architectural, structural, mechanical, and electrical Specifications-MasterFormat and UniFormat Symbols-materials, electrical, plumbing, HVAC, and others How to avoid costly pitfalls on construction projects You'll also find a glossary of terms for quick reference, convenient tables and charts for identifying symbols and abbreviations, and much more. Inside This Skills-Building Guide to Construction Drawing Basics • Blueprint Standards • Blueprints and Construction Drawings: A Universal Language • Understanding Lines • Types of Views • Understanding Dimensions • Layout of Construction Drawings • Understanding Industrial Blueprints • The Meaning of Symbols • Understanding Schedules • Specifications • ISO Issues, Codes, and Building Regulations • Construction Business Environment
BASIC BLUEPRINT READING AND SKETCHING, International Edition is the ideal book to help individuals develop skills in reading and interpreting industrial drawings and prepare simple technical sketches. It is an interactive book/workbook that provides an understanding of all the technical information contained on a mechanical or CAD drawing and covers the latest ANSI, ISO, AWS and ASME standards.
A manual explaining how to read construction documents, blueprints, and schedules.
A text/workbook for technical college or high school course work. Annotation copyrighted by Book News, Inc., Portland, OR
Reading a blueprint is like reading a road map. It tells you exactly what you are required to build. Read it wrong and you will build it wrong -- and that can be expensive. This book explains how to read and interpret all types of electrical drawings and diagrams used in residential and commercial construction. There are details on electrical floor plans, lighting layouts, and schematics showing single line and block or power-riser diagrams for wiring circuits. Learn how to lay out an electrical project, what to look out for in dealing with construction specifications and drawings -- especially in terms of today's technology, how to use an engineer's scale for developing and reading site plans, and how to make up and use panel board, connected-load, and other schedules.
Print Reading for Construction is designed to assist students in reading and understanding residential and commercial prints. This practical text is suitable for vocational students, apprentices, and building trades workers who want to increase their knowledge of print reading and construction drawings. The combination text and workbook presents a thorough discussion of print reading techniques, starting with the basics of print reading and progressing to advanced topics.
Over the next few decades, machine learning and data science will transform the finance industry. With this practical book, analysts, traders, researchers, and developers will learn how to build machine learning algorithms crucial to the industry. You’ll examine ML concepts and over 20 case studies in supervised, unsupervised, and reinforcement learning, along with natural language processing (NLP). Ideal for professionals working at hedge funds, investment and retail banks, and fintech firms, this book also delves deep into portfolio management, algorithmic trading, derivative pricing, fraud detection, asset price prediction, sentiment analysis, and chatbot development. You’ll explore real-life problems faced by practitioners and learn scientifically sound solutions supported by code and examples. This book covers: Supervised learning regression-based models for trading strategies, derivative pricing, and portfolio management Supervised learning classification-based models for credit default risk prediction, fraud detection, and trading strategies Dimensionality reduction techniques with case studies in portfolio management, trading strategy, and yield curve construction Algorithms and clustering techniques for finding similar objects, with case studies in trading strategies and portfolio management Reinforcement learning models and techniques used for building trading strategies, derivatives hedging, and portfolio management NLP techniques using Python libraries such as NLTK and scikit-learn for transforming text into meaningful representations