I’m a Front End Web Developer Learning Machine Learning From Scratch
Elchin Nasirov, a front-end web developer, has embarked on a journey to learn machine learning from scratch. He has created a study plan and documented his progress over the first 30 days, focusing on essential mathematical foundations and practical applications. Nasirov emphasizes the importance of building small projects to reinforce his understanding of machine learning concepts.
- ▪Nasirov started with prerequisites in linear algebra, calculus, and probability.
- ▪He built projects like a house price predictor and a spam email classifier using regression techniques.
- ▪The author found that practical application of concepts helped solidify his understanding of machine learning.
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 === 362090) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Elchin Nasirov Posted on May 23 I’m a Front End Web Developer Learning Machine Learning From Scratch #tensorflow #machinelearning #ai #webdev Hey, I'm a web developer - building UIs with React, TypeScript, Tailwind, and modern web tools. A few months ago, I decided to step into Machine Learning. No prior ML background. Just curiosity and basic Python knowledge.I started Andrew Ng’s Machine Learning Specialization and created my own study plan.
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