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Artificial Intelligence and Machine Learning for Business

2018-07
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Release : 2018-07
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Kind : eBook
Book Rating : 345/5 ( reviews)

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Book Synopsis Artificial Intelligence and Machine Learning for Business by : Steven Finlay

Download or read book Artificial Intelligence and Machine Learning for Business written by Steven Finlay. This book was released on 2018-07. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence (AI) and Machine Learning are now mainstream business tools. They are being applied across many industries to increase profits, reduce costs, save lives and improve customer experiences. Organizations which understand these tools and know how to use them are benefiting at the expense of their rivals. Artificial Intelligence and Machine Learning for Business cuts through the hype and technical jargon that is often associated with these subjects. It delivers a simple and concise introduction for managers and business people. The focus is very much on practical application and how to work with technical specialists (data scientists) to maximize the benefits of these technologies. This third edition has been substantially revised and updated. It contains several new chapters and covers a broader set of topics than before, but retains the no-nonsense style of the original.

Artificial Intelligence and Machine Learning in Business Management

2021-11-05 Business & Economics
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Release : 2021-11-05
Genre : Business & Economics
Kind : eBook
Book Rating : 114/5 ( reviews)

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Book Synopsis Artificial Intelligence and Machine Learning in Business Management by : Sandeep Kumar Panda

Download or read book Artificial Intelligence and Machine Learning in Business Management written by Sandeep Kumar Panda. This book was released on 2021-11-05. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence and Machine Learning in Business Management The focus of this book is to introduce artificial intelligence (AI) and machine learning (ML) technologies into the context of business management. The book gives insights into the implementation and impact of AI and ML to business leaders, managers, technology developers, and implementers. With the maturing use of AI or ML in the field of business intelligence, this book examines several projects with innovative uses of AI beyond data organization and access. It follows the Predictive Modeling Toolkit for providing new insight on how to use improved AI tools in the field of business. It explores cultural heritage values and risk assessments for mitigation and conservation and discusses on-shore and off-shore technological capabilities with spatial tools for addressing marketing and retail strategies, and insurance and healthcare systems. Taking a multidisciplinary approach for using AI, this book provides a single comprehensive reference resource for undergraduate, graduate, business professionals, and related disciplines.

Artificial Intelligence and Machine Learning for Business for Non-Engineers

2019-11-22 Computers
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Release : 2019-11-22
Genre : Computers
Kind : eBook
Book Rating : 998/5 ( reviews)

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Book Synopsis Artificial Intelligence and Machine Learning for Business for Non-Engineers by : Stephan S. Jones

Download or read book Artificial Intelligence and Machine Learning for Business for Non-Engineers written by Stephan S. Jones. This book was released on 2019-11-22. Available in PDF, EPUB and Kindle. Book excerpt: The next big area within the information and communication technology field is Artificial Intelligence (AI). The industry is moving to automate networks, cloud-based systems (e.g., Salesforce), databases (e.g., Oracle), AWS machine learning (e.g., Amazon Lex), and creating infrastructure that has the ability to adapt in real-time to changes and learn what to anticipate in the future. It is an area of technology that is coming faster and penetrating more areas of business than any other in our history. AI will be used from the C-suite to the distribution warehouse floor. Replete with case studies, this book provides a working knowledge of AI’s current and future capabilities and the impact it will have on every business. It covers everything from healthcare to warehousing, banking, finance and education. It is essential reading for anyone involved in industry.

Artificial Intelligence in Practice

2019-04-15 Business & Economics
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Release : 2019-04-15
Genre : Business & Economics
Kind : eBook
Book Rating : 985/5 ( reviews)

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Book Synopsis Artificial Intelligence in Practice by : Bernard Marr

Download or read book Artificial Intelligence in Practice written by Bernard Marr. This book was released on 2019-04-15. Available in PDF, EPUB and Kindle. Book excerpt: Cyber-solutions to real-world business problems Artificial Intelligence in Practice is a fascinating look into how companies use AI and machine learning to solve problems. Presenting 50 case studies of actual situations, this book demonstrates practical applications to issues faced by businesses around the globe. The rapidly evolving field of artificial intelligence has expanded beyond research labs and computer science departments and made its way into the mainstream business environment. Artificial intelligence and machine learning are cited as the most important modern business trends to drive success. It is used in areas ranging from banking and finance to social media and marketing. This technology continues to provide innovative solutions to businesses of all sizes, sectors and industries. This engaging and topical book explores a wide range of cases illustrating how businesses use AI to boost performance, drive efficiency, analyse market preferences and many others. Best-selling author and renowned AI expert Bernard Marr reveals how machine learning technology is transforming the way companies conduct business. This detailed examination provides an overview of each company, describes the specific problem and explains how AI facilitates resolution. Each case study provides a comprehensive overview, including some technical details as well as key learning summaries: Understand how specific business problems are addressed by innovative machine learning methods Explore how current artificial intelligence applications improve performance and increase efficiency in various situations Expand your knowledge of recent AI advancements in technology Gain insight on the future of AI and its increasing role in business and industry Artificial Intelligence in Practice: How 50 Successful Companies Used Artificial Intelligence to Solve Problems is an insightful and informative exploration of the transformative power of technology in 21st century commerce.

Artificial Intelligence for Business

2020-12-09 Business & Economics
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Release : 2020-12-09
Genre : Business & Economics
Kind : eBook
Book Rating : 663/5 ( reviews)

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Book Synopsis Artificial Intelligence for Business by : Doug Rose

Download or read book Artificial Intelligence for Business written by Doug Rose. This book was released on 2020-12-09. Available in PDF, EPUB and Kindle. Book excerpt: 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. 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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