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Before I started learning machine learning, I pictured AI as some kind of magic box that already "knew" the answer. Deep learning flipped that picture completely — AI starts out knowing nothing at all
Sebelum belajar machine learning, saya pikir AI itu semacam kotak ajaib yang "tahu" jawabannya. Setelah masuk ke materi deep learning, gambaran itu berubah total — AI nggak tahu apa-apa di awal. Ia be
by Muhammad Ariel Shakaramiro In Part 1, I covered the theory behind Supervised vs Unsupervised Learning, and in Part 2 I put the supervised side into practice — training a model to recognize Iris spe
by Muhammad Ariel Shakaramiro Di Part 1 saya bahas teori Supervised vs Unsupervised Learning, dan di Part 2 saya praktikkan sisi supervised-nya — melatih model buat mengenali spesies Iris dari label y
by Muhammad Ariel Shakaramiro In Part 1, I covered the theory behind Supervised vs Unsupervised Learning and how to measure model performance. Now it's time to go hands-on: training an actual model th
by Muhammad Ariel Shakaramiro Di Part 1, saya bahas teori Supervised vs Unsupervised Learning dan cara mengukur performa model. Sekarang saatnya praktik langsung: melatih model beneran yang bisa menge
by Muhammad Ariel Shakaramiro Whenever people hear "Machine Learning," the mental image often jumps straight to robots or AI that "thinks for itself." The reality is much simpler: a computer learns pa
by Muhammad Ariel Shakaramiro Setiap kali orang dengar "Machine Learning," bayangannya sering langsung lompat ke robot atau AI yang "mikir sendiri." Padahal intinya jauh lebih sederhana: komputer bela
If you think baldness is purely a matter of genetics, here's a plot twist: a few surprisingly sensible patterns show up once you dig into age, smoking habits, and stress levels together. This post wal
