2024年3月22日 星期五
2024年3月21日 星期四
2024年3月20日 星期三
2024年3月16日 星期六
我的五年計畫
2020年3月10日我啟動了一個五年計畫。今天是2024年3月16日，也就是這個計畫已經進行到第5年了。到了明年的3月10日就屆滿5年了。檢視我的日記和一些工作檔案，我發現這個五年計畫雖然有少許項目需要再加強，而大部分則進度如預期，有些甚至還超前了些許。預計這個計畫可以繼續延伸到我離開這個塵世的那一天。
這計畫的綱要如下：
- 推動運用新科技學習福音與英文。
- 推動以家庭為中心的福音學習與教導。
- 昌盛己的家族。
- 創業與發展事業。
- 天天寫日記。
這計畫的目前進度如下：
- 推動運用新科技學習福音與英文：我有12位學生，每週與我在線學習英文。使用的科技包括 Quizlet，ChatGPT，Google Apps，Grammarly，Yahoo 字典...
- 推動以家庭為中心的福音學習與教導：我有一個 Facebook 個人頁面，以及一個福音研習班 Line 群組。我在這兩個平台上，持續分享以家庭為中心的福音學習與教導。
- 昌盛己的家族：我有一個家族 Line 群組，在這個平台上我分享我的才能，來教導自立。也分享在生活中落實耶穌基督福音的見證，希望能帶領後代子孫們歸向基督。
- 創業與發展事業：我的事業是著作，包括獨特的「英文」學習方法，獨特的「程式設計」案例研究，獨特的「機率」案例研究，獨特的「家庭會計試算表」，獨特的教學「影片製作」經驗。
- 天天寫日記：我從2004年3月3日起至今，養成了天天寫日記的習慣。
2024年3月13日 星期三
2024年3月11日 星期一
Learning AI
User
I have a degree in civil engineering from university and over 50 years of experience as a computer programmer. Now, I'm eager to delve into self-studying AI. What steps should I take?
ChatGPT
That's a fantastic decision! Self-studying AI can be a rewarding journey, especially with your background in computer programming and civil engineering. Here's a roadmap to get you started:
Learn Python: Python is one of the most popular programming languages for AI and machine learning. Since you already have programming experience, you might find it relatively easy to pick up Python. There are plenty of online resources and tutorials available for free.
Understand the Basics of Machine Learning: Start with understanding the fundamentals of machine learning, including supervised learning, unsupervised learning, and reinforcement learning. You can find numerous online courses, books, and tutorials covering these topics.
Take Online Courses: Enroll in online courses specifically tailored to AI and machine learning. Some popular platforms offering such courses include Coursera, edX, Udacity, and Khan Academy. Look for courses that cover topics like neural networks, deep learning, and natural language processing.
Read Books: There are many excellent books on AI and machine learning that can provide you with in-depth knowledge and insights. Some recommended titles include "Deep Learning" by Ian Goodfellow, Yoshua Bengio, and Aaron Courville, "Artificial Intelligence: A Modern Approach" by Stuart Russell and Peter Norvig, and "Pattern Recognition and Machine Learning" by Christopher M. Bishop.
Practice with Projects: Hands-on experience is crucial for mastering AI and machine learning concepts. Work on projects where you can apply what you've learned. You can start with simple projects like image classification or sentiment analysis and gradually move on to more complex ones.
Stay Updated: AI is a rapidly evolving field, so it's essential to stay updated with the latest developments, research papers, and trends. Follow influential researchers and organizations in the AI community, read research papers, and participate in online forums and communities.
Specialize: Depending on your interests and goals, consider specializing in specific areas of AI, such as computer vision, natural language processing, or reinforcement learning. Deepening your knowledge in a particular domain can open up more opportunities for you.
Join AI Communities: Join online AI communities and forums where you can interact with fellow learners, ask questions, and share knowledge. Networking with others in the field can provide valuable insights and support.
Remember that learning AI is a continuous process, so be patient and persistent in your efforts. Good luck on your self-study journey!
2024年3月8日 星期五
2024年3月1日 星期五
訂閱：
文章 (Atom)