دانلود کتاب هوش مصنوعی در مدیریت کسب و کار

This textbook is a practical guide for Artificial Intelligence in business management, co-authored by Dr Teoh Teik Toe from Nanyang Technological University and Goh YuJin.Itprovidesmanylearningmaterialsandpracticalexamples accumulated over the years in applying Artificial Intelligence to business applications as practitioners.  Dr Teoh has been conducting research in Big Data, Deep Learning, Cyber-security, Artificial Intelligence, Machine Learning, and Software Development for more than 25 years. His works have been published in more than 50 journals, conference proceedings, books, and book chapters. He holds a PhD in Computer Engineering from Nanyang Technological University (NTU); a Doctor of Business Administration from the University of Newcastle; a Master of Law from the National University of Singapore (NUS); LLB and LLM from the University of London (UoL); and Chartered Financial Analyst (CFA), Association of Chartered Certified Accountants (ACCA), and Chartered Institute of Management Accoun-tants (CIMA) qualification. With over 15 years of experience in Data Mining, Quantitative Analysis, Data Statistics, Finance, Accounting, and Law, he is passion-ate about the synergy between business and technology. He believes that Artificial Intelligence should be accessible to everyone and is eager to share his knowledge of the field.  Throughout his career, Dr Teoh has taught Artificial Intelligence to students from all backgrounds and levels of experience, including those with limited programming knowledge. Under his guidance, many of his students gained confidence in writing their own AI programs.  Yu Jin is an Artificial Intelligence Engineer with four years of working expe-rience. He enjoys the challenges of using data to improve business processes and has 1.5 years of teaching experience in AI and Data Science. He coauthored two conference publications on AI and deep learning and is passionate about applying AI to a variety of use cases and making it accessible to everyone.  Artificial Intelligence is a broad field that involves creating systems capable of executing tasks that typically require human intelligence. With applications in time series, images, videos, speech, and text data, AI has become versatile enough to be applied across all types of businesses. However, developing develop good Artificial Intelligence programs requires a deep understanding of the field. While concepts used in self-driving cars and virtual assistants like Amazon’s Alexa may seem very complex and difficult to grasp, this book will cover them in a step-by-step manner with code snippets to provide tangible examples for readers to learn from. This approach ensures that the lessons are easy to follow.  This book aims to provide readers with an easy-to-understand explanation on how Artificial Intelligence can be applied to alleviate various pain points faced by businesses. We hope to empower individuals who are eager to learn about Artificial Intelligence and apply it to solve business problems. By introducing readers to the potential of Artificial Intelligence, this book seeks to help them understand how to make the most of the technology and how it can be used for their business. Through the materials compiled in this book, readers will gain the knowledge they need on how to create such systems to solve business problems.  Part I of the book introduces readers to various key concepts required to understand how Artificial Intelligence algorithms are developed. Topics in Artificial Intelligence such as classification, regression, and clustering are covered to build a solid foundation for beginners. Readers will be taught various methods of applying Artificial Intelligence to unstructured data to handle a wide variety of data appropriately.  This builds the foundation for Part II, where readers will be exposed to how Artificial Intelligence can be applied to various aspects of business. Various implementations of Artificial Intelligence are shared, allowing readers to generate their own Artificial Intelligence algorithms to perform various tasks such as lead scoring, contract analysis, SWOT analysis using reviews, and product demand forecasting.