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.
ReadArtificial 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.
ReadI 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.
ReadExplore a balanced approach to tech trends, learning how to stay informed about emerging topics like AI without getting overwhelmed. Discover tips for tracking relevant advancements that enhance your professional growth.
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