Bøger om Machine learning

Although AI technology has become mature, affordable, and robust and promises immense business value, implementations often fail with broken budgets and dispirited staff in its wake. According to the author, the problem is always the same. The project methods we use for designing and implementing traditional IT do not work for AI. Thus, the high failure rate is not caused by the technology but by how we run the projects. In the book, the author explains how AI differs from traditional IT. He then provides an easy-to-follow step-by-step method to identify the main challenges, write the business case, plan the project, design the solution, get the users on board, and deliver tangible business value.Finally, a book that shows you how to apply artificial intelligence to everyday problems. The author has deep practical experience with AI and generously shares it with his readers. ★★★★★ Martin Boberg, CEO, DictionDan’s book brings us a practical approach to reap the potential of AI. Although the technology is sophisticated, he explains it simply and shows how it can be applied to solve critical business problems. I can recommend the book to anyone involved with business optimisation.★★★★★ Nicolai Hofsø, Director of P2P, Vertical, Mobile & Fintech, Visma e-conomicsOver the years, I have read many books on AI, studied articles, taken academic courses, and spoken to countless fellow AI practitioners. This book sums it up neatly and gives valuable answers on practically implementing AI into your organisation.★★★★★ Christian M. Prip, Head of Data Consulting, Netcompany