讀書寫作
4/23/2024
4/22/2024
一些常聽的 Podcast 節目和培養英文聽力的方法
一些常聽的 Podcast 節目 (*),適合坐車、(讓眼睛) 休息、睡前、或運動時聽
- AI with AI
- American Public Media: Marketplace
- BBC World Service: BBC News, The Climate Question
- Causal Bandits Podcast by Alex Molak (new)
- Conversations with Tyler
- Financial Times: Behind the Money, News Briefing
- Freakonomics Radio
4/17/2024
10 個改變世界的統計觀念
Leda Liang, Ten Statistical Ideas that Changed the World, (YouTube, Stanford course, Tibshirani's GitHub)
4/16/2024
Some books and information on machine learning and AI
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)
4/13/2024
Transforming AI
Transforming AI | NVIDIA GTC 2024 Panel Hosted by Jensen Huang (Attention Is All You Need)
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