https://danialjfz.github.io/myblog/categories/ai/ml/Recent content in AI/ML on Neural OdysseyHugo -- gohugo.ioenDanialj999@gmail.com (Danial Jafarzadeh)Danialj999@gmail.com (Danial Jafarzadeh)© 2026 Danial JafarzadehThu, 20 Nov 2025 00:00:00 +0000https://danialjfz.github.io/myblog/posts/neural-networks-intuition/Thu, 20 Nov 2025 00:00:00 +0000Danialj999@gmail.com (Danial Jafarzadeh)https://danialjfz.github.io/myblog/posts/neural-networks-intuition/<blockquote> <p><strong>Abstract</strong><br> This piece explains neural networks from the intuition upward: what a neuron is, why layers help, how gradient descent changes weights, and why backpropagation is less mystical than it sounds. It is written for readers who want the concepts to feel concrete before diving deeper into the math.</p>https://danialjfz.github.io/myblog/posts/ml-mistakes-to-avoid/Wed, 19 Nov 2025 00:00:00 +0000Danialj999@gmail.com (Danial Jafarzadeh)https://danialjfz.github.io/myblog/posts/ml-mistakes-to-avoid/<blockquote> <p><strong>Abstract</strong><br> This post is a checklist of failure modes that quietly ruin ML projects: bad data inspection, leakage, weak evaluation, class imbalance, and irreproducible experiments. The point is not to be dramatic about mistakes, but to make the debugging habits explicit before they cost days of work.</p>https://danialjfz.github.io/myblog/posts/build-your-first-ml-model/Tue, 18 Nov 2025 00:00:00 +0000Danialj999@gmail.com (Danial Jafarzadeh)https://danialjfz.github.io/myblog/posts/build-your-first-ml-model/<blockquote> <p><strong>Abstract</strong><br> This post walks through a first end-to-end ML workflow using a real image classification task. The goal is not just to train a model, but to build the habits that matter in practice: checking data, splitting correctly, choosing a simple baseline, and evaluating results without fooling yourself.</p>