#machine-learning

Articles tagged with #machine-learning

Intent Classification with TF-IDF + Logistic Regression
The previous two notes used TF-IDF to measure similarity between texts (FAQ search). This time the approach is different: TF-IDF is used as a feature to train a classifier that predicts the intent beh
Sep 6, 20264 min read
Klasifikasi Intent dengan TF-IDF + Logistic Regression
Dua catatan sebelumnya bahas TF-IDF untuk mengukur kemiripan teks (pencarian FAQ). Kali ini pendekatannya beda: TF-IDF dipakai sebagai fitur untuk melatih classifier yang memprediksi intent (niat) dar
Sep 6, 20264 min read
Building a Simple TF-IDF Q&A Search Engine
After understanding how TF-IDF works in my previous note, I tried using it to build something real: an FAQ search engine. A user types a free-form question, the system finds the most similar question
Sep 6, 20264 min read
Membangun Sistem Tanya-Jawab Sederhana dengan TF-IDF
Setelah paham cara kerja TF-IDF di catatan sebelumnya, saya coba pakai langsung untuk membangun sesuatu yang nyata: mesin pencari FAQ. User ketik pertanyaan bebas, sistem cari pertanyaan paling mirip
Sep 6, 20264 min read
Text Vectorizer Explained: BoW, N-gram, TF-IDF, and Word Embedding
Computers can't read words the way humans do — everything has to be converted into numbers before a machine learning model can process it. That conversion is what's called a text vectorizer. In this n
Sep 6, 20266 min read4
Text Vectorizer: BoW, N-gram, TF-IDF, dan Word Embedding Dijelaskan
Komputer tidak bisa membaca kata seperti manusia — semuanya harus diubah jadi angka dulu sebelum bisa diproses model machine learning. Proses inilah yang disebut text vectorizer. Di catatan ini saya j
Sep 6, 20265 min read1