Artificial Intelligence for Business
by
Doug Rose
Book Details
Format
Paperback / Softback
Book Series
Pearson Business Analytics Series
ISBN-10
0136556612
ISBN-13
9780136556619
Publisher
Pearson Education (US)
Imprint
Pearson
Country of Manufacture
US
Country of Publication
GB
Publication Date
Mar 19th, 2021
Print length
272 Pages
Weight
478 grams
Dimensions
17.90 x 23.10 x 1.80 cms
Ksh 4,150.00
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The Easy Introduction to Machine Learning (Ml) for Nontechnical People--In Business and Beyond
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.
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
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