Lynda.com.Watson.Analytics.Fundamentals-ELOHiM

Section
Appz
Group
ELOHiM
Size
167,16 MB
Files
14
Date
2016-10-08

NFO


                ▄▄▄                          ▄▄▄
               █████▄              ▄▄▄     ▄█████
          ▄▄▄▄  ▀█████         ▄▄█▓█████▄▄  █████          ▄▄▄          ▄▄▄▄
      ▄██████████▄████▓       █████████████  ████        ▄█████        ██████
     ███▓▀▀▀▀█████▓████      █████▀   ▀████▓ ▓███   ▄██▄  █████▓      ▓██████
   ░▓███▄    ▄████ ████     █████▓     ▓█████▓███   ████   ██████▄   ▄██████▓
    ████████████▀  ████     █████       █████████   ████▄██▄███████▄███▀████▓
    ▀███▄  ▄▄▄   ▄████▀     ▓████       █████████   ████████▓███ ▀██▓▀  ████
      ▀███▄████▄█████      ██████       ████▓█████▄▓████ ▀▀ ████   ▀    ████
 ▄████▄  ▀▀████████▓       ███████     ▓▓██▀███▀ ▀██████▄██▄ ███        ████
 █████████ ▀█▓▀ █████▄▄   ░▓███████▄▄▄████▄██▓     ▀████████████        ████
 ██████████▄  ▄▄  ▀▀█████▄▄▓████▀███████▀▄███    ▄▄ ████████████ ▓▄▄▄▄  ████▓░
 ▓█████████████▓▓█▄▄  ▀▀▓▓█████▓░  ▀▀▀ ▄ ▀████▄ ▀██ ████████████ ████▀ ▄███▓
  ▀███▓▓▓█████████████▄▄▄ ▀▀███▀ ▄███████▄ ▀▀███▄ ▓ ███▓███▓████ ▓█▀ ▄███▀▀
    ▀▀▀            ▀▀▀▓▓███▄▄▄▄▄███████▀▀▀▀▓   ▀▀   ███▓ ▀▀ ████ ▀  ▀▓▓█▄▄
                           ▀▀▀▀▀▀                    ▀▀     ▀██▀       ▀▀▀▀▀

     RELEASE NAME....: Lynda.com.Watson.Analytics.Fundamentals-ELOHiM
     RELEASE DATE....: 2016-10-08
     RELEASE SIZE....: 12x15Mb
     FORMAT..........: Bookware
     LANGUAGE........: English
     URL.............: http://www.lynda.com

     IBM Watson Analytics (WA) is a smarter solution for data analytics,
     providing automated discovery and visualization features that you can't
     find anywhere else. Learn how to use this powerful yet easy-to-use
     cloud-based tool for data science and business analytics. Chris Dutton
     shows how to use features such as machine learning and predictive
     analyticsΓÇöminimizing the learning curve and maximizing your proficiency
     with Watson's tools. Discover how to import and refine data from local or
     cloud-based sources; build new calculations, hierarchies, and data groups
     on the fly; and leverage cognitive starting points, natural language
     queries, and dynamic insights. Find out how to auto-detect trends and
     correlations and generate predictive models and decision trees quickly.
     Plus, learn how to create and share visualizations, dashboards, and
     infographics to bring your insights to life.
     
     Topics include:
     * Reviewing key differentiators
     * Navigating the 3 Ds of Watson Analytics: data, discovery, and display
     * Importing, joining, and refining data
     * Using natural language querying
     * Understanding key drivers
     * Interpreting decision trees
     * Displaying insights
     * Assembling multitabbed displays and dashboard filters
     * Modifying and sharing displays
     
     Subjects: Big Data, IT, Watson Analytics
     Author: Chris Dutton
     Level: Intermediate
     Duration: 1h 6m
     Released: 10/4/2016

Files

PathSize
e-lwaf.r0014,31 MB
e-lwaf.r0114,31 MB
e-lwaf.r0214,31 MB
e-lwaf.r0314,31 MB
e-lwaf.r0414,31 MB
e-lwaf.r0514,31 MB
e-lwaf.r0614,31 MB
e-lwaf.r0714,31 MB
e-lwaf.r0814,31 MB
e-lwaf.r0914,31 MB
e-lwaf.r109,80 MB
e-lwaf.rar14,31 MB
e-lwaf.sfv252 B
elohim.nfo2,88 KB