Pocket Ref

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Author :
Release : 2010-09
Genre : Science
Kind :
Book Rating : 620/5 ( reviews)

Pocket Ref - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Pocket Ref write by . This book was released on 2010-09. Pocket Ref available in PDF, EPUB and Kindle. Among the many topics covered in this handy, pocket-sized guide are air and gases, carpentry and construction, pipes, pumps, computers, electronics, geology, math, surveying and mapping, and weights and measures. Includes tables, charts, drawings, lists & formulas.

Pocket Ref 4th Edition

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Author :
Release : 2017-09-18
Genre :
Kind :
Book Rating : 290/5 ( reviews)

Pocket Ref 4th Edition - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Pocket Ref 4th Edition write by Thomas Glover. This book was released on 2017-09-18. Pocket Ref 4th Edition available in PDF, EPUB and Kindle. Pocket Ref 4th edition. The concise all-purpose pocket-sized reference book featuring abundant information on many subjects, hundreds of tables, maps, formulas, constants and conversions. If you need to know it, it is in this book!

Desk Ref

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Author :
Release : 2010-05-01
Genre : Reference
Kind :
Book Rating : 606/5 ( reviews)

Desk Ref - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Desk Ref write by Thomas J. Glover. This book was released on 2010-05-01. Desk Ref available in PDF, EPUB and Kindle. Air and Gases -Explosive Limits of Gases and Vapors-New Automotive Trailer Wiring and Connector Guide -- Updated images Chemistry and Physics Element and Element Property Tables -- Updated Periodic Table of Elements --. Major Update Elementary Particles -- Updated Computer ASCII and ALT Codes -- Major Update First Aid- Priorities --Updated CPR -- Updated Mouth to Mouth Breathing -- Updated Hypothermia -- Updated Poisoning --Updated Small Animal Artificial Respiration and CPR -- New Blood Type Distribution in the USA --New Holidays --Updated American Sign Language -- New Military Rank and Grade – Air Force, Army, Navy, Marines --Updated State Population --Updated North American Area Codes -- Updated Worldwide Area Codes -- Updated Dialing Instructions for Countries -- Updated Airports USA -- Updated Major World Airports -- Updated Airline Two Letter Codes --Updated Airline Toll-Free Phone Numbers --Updated Lost Credit Card Phone Numbers -- Updated Car Rental Phone Numbers -- Updated Country Codes – 2 and 3 Letter -- Updated General Science - Body Mass Index – CDC, Atlanta GA -- New Fuels and Combustion Temperatures -- New Flame or Material Color Combustion Temperatures -- New Animal Names – Groups, Male, Female, Baby --New Geology - Gold, Silver and Diamond Classification -- Updated Earthquakes – The Largest and Deadliest --New Volcanic Explosive Index --New Money - Currency Exchange Rates -- Updated Pumps and Tanks - Capacities of Large Tanks and Cylinders -- New Propane Tank Sizes -- Updated Surveying and Mapping -Magnetic Declination Map -- Major Update Weather -Dew Point Tables C and F -- New Welding -SMAW Electrode Amperages -- Major Update SMAW Electrode Amperages -- Major Update SMAW Electrode Amperages -- Major Update SMAW Electrode Amperages -- Major Update Electrode Brand Conversion --Major Update

Data Pipelines Pocket Reference

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Author :
Release : 2021-02-10
Genre : Computers
Kind :
Book Rating : 807/5 ( reviews)

Data Pipelines Pocket Reference - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Data Pipelines Pocket Reference write by James Densmore. This book was released on 2021-02-10. Data Pipelines Pocket Reference available in PDF, EPUB and Kindle. Data pipelines are the foundation for success in data analytics. Moving data from numerous diverse sources and transforming it to provide context is the difference between having data and actually gaining value from it. This pocket reference defines data pipelines and explains how they work in today's modern data stack. You'll learn common considerations and key decision points when implementing pipelines, such as batch versus streaming data ingestion and build versus buy. This book addresses the most common decisions made by data professionals and discusses foundational concepts that apply to open source frameworks, commercial products, and homegrown solutions. You'll learn: What a data pipeline is and how it works How data is moved and processed on modern data infrastructure, including cloud platforms Common tools and products used by data engineers to build pipelines How pipelines support analytics and reporting needs Considerations for pipeline maintenance, testing, and alerting

Machine Learning Pocket Reference

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Release : 2019-08-27
Genre : Computers
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Book Rating : 49X/5 ( reviews)

Machine Learning Pocket Reference - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Machine Learning Pocket Reference write by Matt Harrison. This book was released on 2019-08-27. Machine Learning Pocket Reference available in PDF, EPUB and Kindle. With detailed notes, tables, and examples, this handy reference will help you navigate the basics of structured machine learning. Author Matt Harrison delivers a valuable guide that you can use for additional support during training and as a convenient resource when you dive into your next machine learning project. Ideal for programmers, data scientists, and AI engineers, this book includes an overview of the machine learning process and walks you through classification with structured data. You’ll also learn methods for clustering, predicting a continuous value (regression), and reducing dimensionality, among other topics. This pocket reference includes sections that cover: Classification, using the Titanic dataset Cleaning data and dealing with missing data Exploratory data analysis Common preprocessing steps using sample data Selecting features useful to the model Model selection Metrics and classification evaluation Regression examples using k-nearest neighbor, decision trees, boosting, and more Metrics for regression evaluation Clustering Dimensionality reduction Scikit-learn pipelines