I Wanted To Build AI. Instead I Met Linear Algebra
The author reflects on their journey into machine learning, initially believing it to be straightforward. However, they soon realized the importance of understanding linear algebra as the foundation of machine learning concepts. This realization prompted a shift in their learning approach, emphasizing the need to grasp the underlying mathematics while building models.
- ▪The author started learning machine learning with confidence, thinking it was simple.
- ▪They discovered that linear algebra is crucial for understanding machine learning.
- ▪The realization of the importance of math led them to change their learning strategy.
Opening excerpt (first ~120 words) tap to expand
try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3916409) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } VishnuRv Posted on May 24 I Wanted To Build AI. Instead I Met Linear Algebra #ai #machinelearning #beginners #learning ML Detective logs (2 Part Series) 1 Escaping the tutorial trap and starting my ML training arc 2 I Wanted To Build AI. Instead I Met Linear Algebra When I first started learning machine learning, I was genuinely confident.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at DEV.to (Top).
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