AI Machine Learning: A Quickstudy Laminated Reference Guide

by Allison, Kyle
5 out of 5 Customer Rating
ISBN: 9781423250821
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$7.03

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Overview

Essential exploration of artificial intelligence and its key roles, components, uses, benefits and challenges within a wide range of real-world applications. Dr. Kyle Allison, senior executive, professor, speaker and author who is focused on all things digital uses his multi-faceted knowledge and experience from teaching and consulting to offer valuable and succinct need-to-know facts in 6 laminated pages. Working on digital strategies of all sizes including retailers like Best Buy, Dick's Sporting Goods, VF Corporation and more, Dr. Allison focuses on the most important functions of AI for business strategy in our famous QuickStudy format that gives more answers per page than any other source. AI has the power to improve performance, ensure quality standards and boost the output of resources. At this price do not miss this eye-opening tool that can offer you direction for the use of AI for everything from data management and finance to customer service, human resources, and more.
6 page laminated reference includes:
  • AI & ML
    • Key Roles
    • ML: Supervised vs. Unsupervised
  • Data Management
    • Data Cleaning & Preprocessing
    • High-Quality Data
  • Neural Networks & Deep Learning (NNDL)
    • Benefits
    • Challenges & Limitations
    • Neural Networks (NNs)
    • Deep Learning (DL)
    • Applications of NNDL
  • Ethics
    • Key Principles
    • Benefits
    • Challenges
    • Examples
  • ChatGPT
    • Best Practices
    • Example Prompts
  • Real-World Applications - each with Key Components, Uses, Benefits & Challenges
    • Customer Service
    • Data Analytics
    • Education
    • Finance
    • Government
    • Health Care
    • Human Resources
    • Information Technology (IT)
    • Legal Services
    • Marketing
    • Robotics
    • Supply Chain
  • Format: Trade Paperback
  • Author: Allison, Kyle
  • ISBN: 9781423250821
  • Condition: New
  • Dimensions: 11.00 x 0.06
  • Number Of Pages: 6
  • Publication Year: 2024
Language: English

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