Instead of AI, let’s talk instead of Elon Musk!
Elon Musk talks of first principles thinking.
That means you boil down a process to its fundamental parts and work backward through each building block to connect to the essential elements. This approach needs more in-depth thinking but provides for deeper learning.
In other words, first principles thinking is the act of identifying the fundamental parts that you know are true and building up from there. When applied in this context (learning AI), we can connect complex ideas to simple ones, especially to ideas you already know.
You may have tried to learn Machine learning and Deep Learning previously with limited success.
In my experience of teaching machine learning and deep learning, three problems inhibit effective learning. Often, these are missed by industry practitioners but are all too familiar to teachers – especially if they teach in class (face to face)
- Cognitive dependencies – ideas depend on other ideas that need to be explained first.
- Cognitive overload – there is too much information. Most of it is good. But you don’t know which sequence to approach the topic.
- First-principles thinking – i.e., how things tie back to each other.
If these ideas resonate with you, you have come to the right place!