Learning
Around six years ago, I realized that the depth and breadth of knowledge that I need to maintain is exponentially increasing. So, since I'm a visual learner, I organized all the information that I knew in a mind map format and build upon it over time.
In the following sections, I will share with you some of the topics of the mind map that I've acquired. Unfortunately, I can only transfer theories, not the experiences behind them. It is up to audience to put them into practice.
Topics from my knowledge arsenal that I'd like to share 🤗
I vividly remember the first programming course (in C language) that I took. I was lost in the syntax and concepts of it. This series of videos are self-initiatedly recoded for the Programming II lab that I had and I tried to give a big picture to the students. I have a video showing how to make the best out of Google Colab and use its underlaying Linux operating system.
This series aims to share the valuable insights I gained from my former colleagues and my Coursera machine learning specialization with my peers. Understanding these fundamental concepts is crucial. Once you grasp this meta-knowledge, you'll be equipped to utilize code generation tools effectively for implementation. However, familiarizing yourself with these concepts is essential regardless.
Statistics and Probability in AI
Coming soon. Stay tuned!