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OverviewArtificial 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 Full Product DetailsAuthor: Doug RosePublisher: Pearson Education (US) Imprint: Pearson Edition: 2nd edition Dimensions: Width: 17.80cm , Height: 1.80cm , Length: 22.90cm Weight: 0.440kg ISBN: 9780136556619ISBN 10: 0136556612 Pages: 272 Publication Date: 12 March 2021 Audience: Professional and scholarly , Professional & Vocational Format: Paperback Publisher's Status: Active Availability: Not yet available This item is yet to be released. You can pre-order this item and we will dispatch it to you upon its release. Table of ContentsChapter 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 MindsReviewsAuthor InformationDoug Rose has been transforming organizations through technology, training, and process optimization for more than 25 years. He is the author of the Project Management Institute (PMI) first major publication on the agile framework, Leading Agile Teams. He is also the author of Data Science: Create Teams That Ask the Right Questions and Deliver Real Value and Enterprise Agility for Dummies. Doug has a master degree (MS) in information management, a law degree (JD) from Syracuse University, and a BA from the University of Wisconsin-Madison. He is also a Scaled Agile Framework Program Consultant (SPC), Certified Technical Trainer (CTT+), Certified Scrum Professional (CSP-SM), Certified Scrum Master (CSM), PMI Agile Certified Professional (PMI-ACP), Project Management Professional (PMP), and Certified Developer for Apache Hadoop (CCDH). You can attend his lively and engaging business and project management courses at the University of Chicago or online through LinkedIn Learning. Doug works through Doug Enterprises, an organization with an office in whatever city he lives. Currently he lives in Atlanta, Georgia, where he spends his free time either riding a stationary recumbent bike or explaining the Marvel Universe to his son. Tab Content 6Author Website:Countries AvailableAll regions |