Meta Analytics

Book Meta Analytics Cover

Download or read online Meta Analytics PDF book by Steven Simske in ePUB, PDF or Kindle eBooks. Published by Morgan Kaufmann in 10 March 2019 the book become immediate popular and critical acclaim in Computers books with total hardcover page 340. Click Download Book button to get book file. Read some info about this book below.

  • Author : Steven Simske
  • Publisher : Morgan Kaufmann
  • Release : 10 March 2019
  • ISBN : 9780128146248
  • Page : 340 pages
  • Language : English
  • Total View : 8523 Views
  • File Size : 41,5 Mb

Meta Analytics Book PDF summary

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. Provides comprehensive and systematic coverage of machine learning-based data analysis tasks Enables rapid progress towards competency in data analysis techniques Gives exhaustive and widely applicable patterns for use by data scientists Covers hybrid or ‘meta’ approaches, along with general analytics Lays out information and practical guidance on data analysis for practitioners working across all sectors

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Meta-Analytics

Meta-Analytics
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Meta-Analytics PDF book is popular Computers book written by Steven Simske. The book was released by Morgan Kaufmann in 10 March 2019 with total hardcover pages 340. 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

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