On my way to „Speak Machine,“ I just finished a fantastic course delving into the fascinating world of machine learning paradigms: supervised, unsupervised, semi-supervised, and reinforcement learning.
And that’s not all! The course also introduced me to fundamental algorithms:
- Decision Trees
- K-Nearest Neighbor
- K-Mean Clustering
- Regression
- Naive Bayes
I have a strong feeling this is just the beginning. There’s so much more to explore and learn, even for a non-developer like myself. I believe every „creative“ among us can find immense value and a certain relief in understanding these technological foundations.
Acquiring these skills acts as a powerful preemptive measure against the deluge of AI urban legends, buzzword bingo, and false fears, allowing us to focus on real (but sometimes underestimated) concerns.
This journey is incredibly exciting, and I’m eager to merge these fresh insights with my creative UX heritage.
What strange beasts may arise from this mixture?