Dr. Teik Toe Teoh is an academic director and senior lecturer at Nanyang Business School, NTU. He has over 25 years of experience as a highly experienced researcher in big data, deep learning, cybersecurity, artificial intelligence, machine learning, and software development. His works have been published in more than 50 journals, conferences, books, and book chapters, including the textbook “Artificial Intelligence with Python,” published with Springer in 2022. Dr. Teoh holds a PhD in Computer Engineering from NTU; a Doctor of Business Administration from the University of Newcastle; and a Master of Law from NUS, LLB, and LLM from UoL, as well as certifications in CFA, ACCA, and CIMA. He has more than 15 years of experience in data mining, quantitative analysis, data statistic, finance, accounting, and law and is high passionate about the synergy between business and technology.Goh Yu Jin is an artificial intelligence engineer with 4 years of professional experience and 1.5 years of teaching experience in artificial intelligence. He holds a bachelor’s degree in Information Systems Technology and Design, specializing in artificial intelligence. He has coauthored two conference publications on the subject and is passionate about applying AI to a wide variety of use cases and making complex concepts easy to understand for everyone.

“The book can be recommended for two different audiences. The first part of the book is for people wanting to learn AI programming, while the second part is well tailored to meet and/or support the needs of business management professionals.” (Thierry Edoh, Computing Reviews, April 17, 2024)

• Part I: Artificial Intelligence Algorithms.- Chapter 1. Introduction to Artificial Intelligence.- Chapter 2. Regression.- Chapter 3. Classification.- Chapter 4. Clustering.- Chapter 5. Time Series.- Chapter 6. Convolutional Neural Networks.- Chapter 7. Text Mining.- Chapter 8. Chatbot, Speech and NLP.- Part II: Applications of Artificial Intelligence in Business Management.- Chapter 9. AI in Human Resource Management.- Chapter 10. AI in Sales.- Chapter 11. AI in Marketing.- Chapter 12. AI in Supply Chain Management.- Chapter 13. AI in Operations Management.- Chapter 14. AI in Corporate Finance.- Chapter 15. AI in Business Law.- Chapter 16. AI in Business Strategy.- References.- Index.

Dr. Teik Toe Teoh is an academic director and senior lecturer at Nanyang Business School, NTU. He has over 25 years of experience as a highly experienced researcher in big data, deep learning, cybersecurity, artificial intelligence, machine learning, and software development. His works have been published in more than 50 journals, conferences, books, and book chapters, including the textbook “Artificial Intelligence with Python,” published with Springer in 2022. Dr. Teoh holds a PhD in Computer Engineering from NTU; a Doctor of Business Administration from the University of Newcastle; and a Master of Law from NUS, LLB, and LLM from UoL, as well as certifications in CFA, ACCA, and CIMA. He has more than 15 years of experience in data mining, quantitative analysis, data statistic, finance, accounting, and law and is high passionate about the synergy between business and technology.Goh Yu Jin is an artificial intelligence engineer with 4 years of professional experience and 1.5 years of teaching experience in artificial intelligence. He holds a bachelor’s degree in Information Systems Technology and Design, specializing in artificial intelligence. He has coauthored two conference publications on the subject and is passionate about applying AI to a wide variety of use cases and making complex concepts easy to understand for everyone.

“The book can be recommended for two different audiences. The first part of the book is for people wanting to learn AI programming, while the second part is well tailored to meet and/or support the needs of business management professionals.” (Thierry Edoh, Computing Reviews, April 17, 2024)

• Part I: Artificial Intelligence Algorithms.- Chapter 1. Introduction to Artificial Intelligence.- Chapter 2. Regression.- Chapter 3. Classification.- Chapter 4. Clustering.- Chapter 5. Time Series.- Chapter 6. Convolutional Neural Networks.- Chapter 7. Text Mining.- Chapter 8. Chatbot, Speech and NLP.- Part II: Applications of Artificial Intelligence in Business Management.- Chapter 9. AI in Human Resource Management.- Chapter 10. AI in Sales.- Chapter 11. AI in Marketing.- Chapter 12. AI in Supply Chain Management.- Chapter 13. AI in Operations Management.- Chapter 14. AI in Corporate Finance.- Chapter 15. AI in Business Law.- Chapter 16. AI in Business Strategy.- References.- Index.

Dr. Teik Toe Teoh is an academic director and senior lecturer at Nanyang Business School, NTU. He has over 25 years of experience as a highly experienced researcher in big data, deep learning, cybersecurity, artificial intelligence, machine learning, and software development. His works have been published in more than 50 journals, conferences, books, and book chapters, including the textbook “Artificial Intelligence with Python,” published with Springer in 2022. Dr. Teoh holds a PhD in Computer Engineering from NTU; a Doctor of Business Administration from the University of Newcastle; and a Master of Law from NUS, LLB, and LLM from UoL, as well as certifications in CFA, ACCA, and CIMA. He has more than 15 years of experience in data mining, quantitative analysis, data statistic, finance, accounting, and law and is high passionate about the synergy between business and technology.Goh Yu Jin is an artificial intelligence engineer with 4 years of professional experience and 1.5 years of teaching experience in artificial intelligence. He holds a bachelor’s degree in Information Systems Technology and Design, specializing in artificial intelligence. He has coauthored two conference publications on the subject and is passionate about applying AI to a wide variety of use cases and making complex concepts easy to understand for everyone.

“The book can be recommended for two different audiences. The first part of the book is for people wanting to learn AI programming, while the second part is well tailored to meet and/or support the needs of business management professionals.” (Thierry Edoh, Computing Reviews, April 17, 2024)

• Part I: Artificial Intelligence Algorithms.- Chapter 1. Introduction to Artificial Intelligence.- Chapter 2. Regression.- Chapter 3. Classification.- Chapter 4. Clustering.- Chapter 5. Time Series.- Chapter 6. Convolutional Neural Networks.- Chapter 7. Text Mining.- Chapter 8. Chatbot, Speech and NLP.- Part II: Applications of Artificial Intelligence in Business Management.- Chapter 9. AI in Human Resource Management.- Chapter 10. AI in Sales.- Chapter 11. AI in Marketing.- Chapter 12. AI in Supply Chain Management.- Chapter 13. AI in Operations Management.- Chapter 14. AI in Corporate Finance.- Chapter 15. AI in Business Law.- Chapter 16. AI in Business Strategy.- References.- Index.