Linear Algebra - Linear Systems - Part 1
It’s not enough to use off-the-shelf tools; you need to understand the math that powers them all. In this post, I talk about one of AI’s core pillars: Linear Algebra.
ReadWhy do we need math for AI?
Artificial Intelligence seems like magic for us, but behind the algorithms is something much more grounded: math. If you are training a neural network or fine-tuning a recommendation engine, mathematics is essential. If you are serious about working in AI, you can't afford to skip the math.
ReadUsing Artificial Intelligence with Intelligence
I discuss how AI is becoming integral to daily life and the importance of using it wisely. Sharing my journey, I highlight the technical skills I’ve gained—like prompt tuning and data structuring—to make the most of AI tools. The productivity boost has been remarkable, and I believe AI is transforming from a simple tool into a daily partner, set to reshape our work and achievements.
ReadLearning How to Learn
Learning is a continuous process shaped by various factors, allowing us to gain knowledge, skills, and values. People learn uniquely—through observation, note-taking, visual aids, or a combination of methods. I rely on practical tools like notebooks for effective learning, preferring simplicity over digital apps. Taking notes and practicing reinforce understanding, while mistakes offer feedback essential for improvement. Lifelong learning is critical to adapting to new personal and professional challenges.
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