Canadian Export Classification

This treatise begins with an introduction on the history of soil classification in Canada and discussion of the rationale for soil taxonomy. It then defines such terms as soil, pedon, and soil horizons before outlining the classification system along with identification keys. Chapters 4 through 13 describe the characteristics of the various soil orders and include information on distinguishing soils of one order from soils of other orders. Chapter 14 outlines criteria & guidelines used in differentiating classes in soil families and soil series categories. Chapter 15 provides information on distinguishing soil phases. Chapter 16 correlates Canadian soil taxonomy with other classification systems. Chapter 17 summarizes the main terminology used to describe soils at the landscape and pedon scales. The final chapter provides a system of landform classification for soil mapping.

The importance of export control laws and regulations in international trade continues to grow, not only because of the increase in world trade and technology dispersion, but also due to concerns surrounding national and regional stability and the risk of terrorism. Accordingly, familiarity with export control laws and regulations around the world has become extremely important for those involved in the international trade of dual-use or military goods, technology, and services. In this preeminent handbook, now in its third edition, two experienced professionals have gathered contributions from expert practitioners and academics. The third edition adds three new country chapters (Brazil, Israel, and Sweden) and a new separate chapter on sanctions and embargoes. In addition to chapters on the international regime in general, the book provides a practical overview of the export/import control regimes covering defence and dual-use goods and services in fourteen key jurisdictions. Country reports each follow the same structure for easy comparison. Issues and topics covered include the following and much more: • import/export legal and regulatory requirements for controlled goods and services; • sanctions for breach of such requirements (civil, administrative, or criminal); • licence application processes; • arms, dual-use and other products embargo (including chemical and biological materials and technology); and • enforcement measures. The Handbook also makes available, through an online application, all important standard export control–related forms, templates, and other related documents, all of which readers can use to draft their own documents. The Handbook is invaluable to any professional (such as lawyers, compliance key players, procurement, logistics, finance and customs practitioners) working in relation to an organisation with a need to know the specific requirements to be followed for the efficient - and legally compliant - import or export of controlled military or dual-use goods, technologies or services.

This publication provides an overview of the importing process and contains general information about import requirements. This edition contains much new and revised material brought about because of changes in the law, particularly the Customs Modernization Act. The Customs modernization provisions has fundamentally altered the process by shifting to the importer the legal responsibility for declaring the value, classification, and rate of duty applicable to entered merchandise.Chapters cover entry of goods, informed compliance, invoices, assessment of duty, classification and value, marking, special requirements for alcoholic beverages, motor vehicles and boats, import quotas, fraud, and foreign trade zones.In addition to the material provided by the U. S. Customs Service, the private commercial publisher of this book has provided a bonus chapter on how to build a tax-free import-export business.

An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives. “Written by three experts in the field, Deep Learning is the only comprehensive book on the subject.” —Elon Musk, cochair of OpenAI; cofounder and CEO of Tesla and SpaceX Deep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts. Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning. The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models. Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors.