Emergency Response Guidebook

Emergency Response Guidebook
Author: U.S. Department of Transportation
Publisher: Simon and Schuster
Total Pages: 352
Release: 2013-06-03
Genre: House & Home
ISBN: 1626363765

Does the identification number 60 indicate a toxic substance or a flammable solid, in the molten state at an elevated temperature? Does the identification number 1035 indicate ethane or butane? What is the difference between natural gas transmission pipelines and natural gas distribution pipelines? If you came upon an overturned truck on the highway that was leaking, would you be able to identify if it was hazardous and know what steps to take? Questions like these and more are answered in the Emergency Response Guidebook. Learn how to identify symbols for and vehicles carrying toxic, flammable, explosive, radioactive, or otherwise harmful substances and how to respond once an incident involving those substances has been identified. Always be prepared in situations that are unfamiliar and dangerous and know how to rectify them. Keeping this guide around at all times will ensure that, if you were to come upon a transportation situation involving hazardous substances or dangerous goods, you will be able to help keep others and yourself out of danger. With color-coded pages for quick and easy reference, this is the official manual used by first responders in the United States and Canada for transportation incidents involving dangerous goods or hazardous materials.

Mathematics for Machine Learning

Mathematics for Machine Learning
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.

Arabic Alphabet Notebook

Arabic Alphabet Notebook
Author: Broyhill Publications
Publisher:
Total Pages: 152
Release: 2015-11-05
Genre:
ISBN: 9780989541121

This blank and lined page notebook will bring excitement to learning the Arabic Alphabet. Use the wide-ruled lined pages to practice your letters, write a story, or use at school. Fun for both children, adults and teachers, the Arabic Alphabet Notebook is ready for your notes, dreams, ideas and everything in between! 75 sheets/150 white wide-ruled blank lined pages with a colorful, glossy, flexible cover.

Catalogue

Catalogue
Author: Montgomery Ward
Publisher:
Total Pages: 608
Release: 1928
Genre: Commercial catalogs
ISBN:

Montgomery Ward

Montgomery Ward
Author: Montgomery Ward
Publisher:
Total Pages: 688
Release: 1936
Genre: Advertising, Direct-mail
ISBN:

Catalogue ...

Catalogue ...
Author: Montgomery Ward
Publisher:
Total Pages: 606
Release: 1929
Genre: Commercial catalogs
ISBN: