Artificial Intelligence for Business : 9780136556619

Artificial Intelligence for Business

Published by
Pearson Higher Ed USA
In stock
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Artificial Intelligence for Business is your plain-English guide to Artificial Intelligence (AI) and Machine Learning (ML): how they work, what they can and cannot do, and how to start profiting from them. Writing for nontechnical executives and professionals, Doug Rose demystifies AI/ML technology with intuitive analogies and explanations honed through years of teaching and consulting. Rose explains everything from early expert systems to advanced deep learning networks.

First, Rose explains how AI and ML emerged, exploring pivotal early ideas that continue to influence the field. Next, he deepens your understanding of key ML concepts, showing how machines can create strategies and learn from mistakes. Then, Rose introduces current powerful neural networks: systems inspired by the structure and function of the human brain. He concludes by introducing leading AI applications, from automated customer interactions to event prediction. Throughout, Rose stays focused on business: applying these technologies to leverage new opportunities and solve real problems.
  • Compare the ways a machine can learn, and explore current leading ML algorithms
  • Start with the right problems, and avoid common AI/ML project mistakes
  • Use neural networks to automate decision-making and identify unexpected patterns
  • Help neural networks learn more quickly and effectively
  • Harness AI chatbots, virtual assistants, virtual agents, and conversational AI applications
Table of contents
  • Chapter 1: What Is Artificial Intelligence?
  • Chapter 2: The Rise of Machine Learning
  • Chapter 3: Zeroing in on the Best Approach
  • Chapter 4: Common AI Applications
  • Chapter 5: Putting AI to Work on Big Data
  • Chapter 6: Weighing Your Options
  • Chapter 7: What Is Machine Learning?
  • Chapter 8: Different Ways a Machine Learns
  • Chapter 9: Popular Machine Learning Algorithms
  • Chapter 10: Applying Machine Learning Algorithms
  • Chapter 11: Words of Advice
  • Chapter 12: What Are Artificial Neural Networks?
  • Chapter 13: Artificial Neural Networks in Action
  • Chapter 14: Letting Your Network Learn
  • Chapter 15: Using Neural Networks to Classify or Cluster
  • Chapter 16: Key Challenges
  • Chapter 17: Harnessing the Power of Natural Language Processing
  • Chapter 18: Automating Customer Interactions
  • Chapter 19: Improving Data-Based Decision-Making
  • Chapter 20: Using Machine Learning to Predict Events and Outcomes
  • Chapter 21: Building Artificial Minds