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{ "item_title" : "Graph Models for Deep Learning", "item_author" : [" Stephen Donald Huff "], "item_description" : "This course provides a detailed executive-level review of contemporary topics in graph modeling theory with specific focus on Deep Learning theoretical concepts and practical applications. The ideal student is a technology professional with a basic working knowledge of statistical methods. As an 'executive review', this text presents a distillation of essential information without the clutter of formulae, charts, graphs, references and footnotes. Thus, the student will not have a 'textbook' experience (or expense) while reviewing its contents. Instead, the student will quickly pass through a surprising wealth of actionable, easily-digestible technological information without the distraction of extemporaneous considerations.", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/1/72/376/126/1723761265_b.jpg", "price_data" : { "retail_price" : "24.99", "online_price" : "24.99", "our_price" : "24.99", "club_price" : "24.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Graph Models for Deep Learning|Stephen Donald Huff

Graph Models for Deep Learning : An Executive Review of Hot Technology

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Overview

This course provides a detailed executive-level review of contemporary topics in graph modeling theory with specific focus on Deep Learning theoretical concepts and practical applications. The ideal student is a technology professional with a basic working knowledge of statistical methods. As an 'executive review', this text presents a distillation of essential information without the clutter of formulae, charts, graphs, references and footnotes. Thus, the student will not have a 'textbook' experience (or expense) while reviewing its contents. Instead, the student will quickly pass through a surprising wealth of actionable, easily-digestible technological information without the distraction of extemporaneous considerations.

This item is Non-Returnable

Details

  • ISBN-13: 9781723761263
  • ISBN-10: 1723761265
  • Publisher: Independently Published
  • Publish Date: September 2018
  • Dimensions: 9 x 6 x 0.41 inches
  • Shipping Weight: 0.59 pounds
  • Page Count: 176

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