Meta-Analytics: Consensus Approaches and System Patterns for Data Analysis presents an exhaustive set of patterns for data science to use on any machine learning based data analysis task.
Author(s): Steven Simske
340 Pages
Computers + Internet, Artificial Intelligence
Description
Book Synopsis
Meta-Analytics: Consensus Approaches and System Patterns for Data Analysis presents an exhaustive set of patterns for data science to use on any machine learning based data analysis task. The book virtually ensures that at least one pattern will lead to better overall system behavior than the use of traditional analytics approaches. The book is 'meta' to analytics, covering general analytics in sufficient detail for readers to engage with, and understand, hybrid or meta- approaches. The book has relevance to machine translation, robotics, biological and social sciences, medical and healthcare informatics, economics, business and finance.
Inn addition, the analytics within can be applied to predictive algorithms for everyone from police departments to sports analysts.
Dimensions (Overall): 9.25 Inches (H) x 7.5 Inches (W) x .71 Inches (D)
Weight: 1.3 Pounds
Suggested Age: 22 Years and Up
Number of Pages: 340
Genre: Computers + Internet
Sub-Genre: Artificial Intelligence
Publisher: Morgan Kaufmann Publishers
Theme: General
Format: Paperback
Author: Steven Simske
Language: English
Street Date: March 13, 2019
TCIN: 1011875047
UPC: 9780128146231
Item Number (DPCI): 247-29-1298
Origin: Made in the USA or Imported
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Shipping details
Estimated ship dimensions: 0.71 inches length x 7.5 inches width x 9.25 inches height
Estimated ship weight: 1.3 pounds
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