https://ramareksotinoyo.com/Recent content on Rama ReksotinoyoHugoen-usThu, 02 Apr 2026 00:00:00 +0000https://ramareksotinoyo.com/posts/turunan-berantai/Thu, 02 Apr 2026 00:00:00 +0000https://ramareksotinoyo.com/posts/turunan-berantai/<p>Satu dari banyaknya bagian terindah dari pustaka-pustaka <em>deep learning</em> seperti <em>pytorch</em>, <em>tensorflow</em> dan lain-lain adalah bagian perhitungan <em>gradient</em>-nya, perhitungan yang digunakan pada saat proses <em>backpropagation</em>. Bagaimana tidak, saya ingat betul ketika di SMA dan kuliah hasil turunannya bergantung pada ekspresi yang diturunkan. Apakah itu variabel, konstanta, atau kombinasi keduanya. Pada saat akhir perkuliahan, tepatnya pada saat mengerjakan skripsi, saya berpikir, rasanya tidak mungkin jika ini dilakukan secara manual, karena untuk setiap ekspresi baru, turunannya harus dihitung ulang secara manual.</p>https://ramareksotinoyo.com/posts/avoid-cherry-picking-data/Mon, 01 Jan 2024 00:00:00 +0000https://ramareksotinoyo.com/posts/avoid-cherry-picking-data/<p>I often cherry-pick samples from a population, even though there are many talented statisticians out there who have developed appropriate sampling methods for sampling needs. To avoid this fallacy, I am forced to learn about probability sampling.</p> <p>In this post, I&rsquo;ll talk about implementing cluster sampling in C. Cluster sampling is one of those handy statistical sampling methods for pulling samples from a population. There are other cool probability sampling techniques too—like simple random sampling, stratified random sampling, and others—but let’s focus on cluster sampling for now.</p>https://ramareksotinoyo.com/csfree/Mon, 01 Jan 0001 00:00:00 +0000https://ramareksotinoyo.com/csfree/Download CSFreehttps://ramareksotinoyo.com/projects/Mon, 01 Jan 0001 00:00:00 +0000https://ramareksotinoyo.com/projects/projects