General introduction (without math)
- 簡禎富，工業3.5：台灣企業邁向智慧製造與數位決策的戰略，天下雜誌，2019
- Alex J. Gutman and Jordan Goldmeier, Becoming a Data Head: How to Think, Speak, and Understand Data Science, Statistics, and Machine Learning, Wiley, 2021.
- John Maccormick, Nine Algorithms That Changed the Future: The Ingenious Ideas That Drive Today’s Computers, Princeton Univ Press, 2013. (陳正芬譯，改變世界的九大演算法：讓今日電腦無所不能的最強概念，經濟新潮社，2014)
- Cade Metz, Genius Makers: The Mavericks Who Brought AI to Google, Facebook, and the World, Dutton, 2021. (王曉伯譯，AI製造商沒說的祕密: 企業巨頭的搶才大戰如何改寫我們的世界?，時報文化，2022)
- Andrew Ng, How to Build Your Career in AI, 2023. (Free ebook, new)
- Annalyn Ng and Kenneth Soo , Numsense! Data Science for the Layman: No Math Added, 2017. (沈佩誼譯，文科生也看得懂的資料科學，碁峰，2018)
- Cathy O'Neil, Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy, 2016 (許瑞宋譯，大數據的傲慢與偏見：一個「圈內數學家」對演算法霸權的警告與揭發，大寫出版，2017)