<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>ML &amp; Modeling on Kim Won Tae</title><link>https://wontaekim89.github.io/categories/ml--modeling/</link><description>Recent content in ML &amp; Modeling on Kim Won Tae</description><generator>Hugo -- gohugo.io</generator><language>ko</language><copyright>© 2026 Kim Won Tae</copyright><lastBuildDate>Wed, 28 Feb 2024 18:26:27 +0900</lastBuildDate><atom:link href="https://wontaekim89.github.io/categories/ml--modeling/index.xml" rel="self" type="application/rss+xml"/><item><title>Vector DB란 무엇일까? 그리고 어떤 Vector DB를 사용해야할까? (2)</title><link>https://wontaekim89.github.io/posts/90/</link><pubDate>Wed, 28 Feb 2024 18:26:27 +0900</pubDate><guid>https://wontaekim89.github.io/posts/90/</guid><description/></item><item><title>Vector DB란 무엇일까? 그리고 어떤 Vector DB를 사용해야할까? (1)</title><link>https://wontaekim89.github.io/posts/89/</link><pubDate>Tue, 27 Feb 2024 23:42:55 +0900</pubDate><guid>https://wontaekim89.github.io/posts/89/</guid><description/></item><item><title>이제 Tabular Data는 MLP 대신 FT-Transformer를 써야하는 이유!</title><link>https://wontaekim89.github.io/posts/87/</link><pubDate>Fri, 23 Feb 2024 00:57:54 +0900</pubDate><guid>https://wontaekim89.github.io/posts/87/</guid><description/></item><item><title>Weight initialization(He, Xavier, LeCun)</title><link>https://wontaekim89.github.io/posts/85/</link><pubDate>Sat, 17 Feb 2024 20:30:39 +0900</pubDate><guid>https://wontaekim89.github.io/posts/85/</guid><description/></item><item><title>Pytorch의 'AutoGrad' 과정을 하나하나 뜯어보자!</title><link>https://wontaekim89.github.io/posts/84/</link><pubDate>Wed, 07 Feb 2024 18:11:27 +0900</pubDate><guid>https://wontaekim89.github.io/posts/84/</guid><description/></item><item><title>[Norm] L2 Norm? L1 Norm? 이제 제대로 알고 사용하자!</title><link>https://wontaekim89.github.io/posts/80/</link><pubDate>Fri, 19 Jan 2024 08:46:46 +0900</pubDate><guid>https://wontaekim89.github.io/posts/80/</guid><description/></item><item><title>[Imbalance Data] 불균형데이터를 극복하고 모델을 학습하는 방법</title><link>https://wontaekim89.github.io/posts/79/</link><pubDate>Wed, 17 Jan 2024 18:02:13 +0900</pubDate><guid>https://wontaekim89.github.io/posts/79/</guid><description/></item><item><title>[행렬곱/행렬과 벡터의 곱]행렬곱이 딥러닝이랑 무슨 관계이길래?</title><link>https://wontaekim89.github.io/posts/78/</link><pubDate>Wed, 17 Jan 2024 01:39:00 +0900</pubDate><guid>https://wontaekim89.github.io/posts/78/</guid><description/></item><item><title>[AutoML] AutoGluon으로 빠르게 여러 ML모델들을 비교 테스트해보자!</title><link>https://wontaekim89.github.io/posts/77/</link><pubDate>Tue, 16 Jan 2024 14:40:00 +0900</pubDate><guid>https://wontaekim89.github.io/posts/77/</guid><description/></item><item><title>[Pytorch Profiler]파이토치 프로파일러를 통해 모델 성능 모니터링하기!</title><link>https://wontaekim89.github.io/posts/76/</link><pubDate>Wed, 10 Jan 2024 18:04:08 +0900</pubDate><guid>https://wontaekim89.github.io/posts/76/</guid><description/></item><item><title>[ML 확률과 통계] 확률 변수와 확률 분포</title><link>https://wontaekim89.github.io/posts/73/</link><pubDate>Mon, 25 Dec 2023 18:36:02 +0900</pubDate><guid>https://wontaekim89.github.io/posts/73/</guid><description/></item><item><title>[ML 확률과 통계] 순열과 조합</title><link>https://wontaekim89.github.io/posts/72/</link><pubDate>Thu, 21 Dec 2023 23:14:30 +0900</pubDate><guid>https://wontaekim89.github.io/posts/72/</guid><description/></item><item><title>컨텐츠 기반 추천 vs 협업 필터링</title><link>https://wontaekim89.github.io/posts/56/</link><pubDate>Mon, 26 Jun 2023 10:17:26 +0900</pubDate><guid>https://wontaekim89.github.io/posts/56/</guid><description/></item><item><title>[Real-time Instance Segmentation] 화상대화 배경제거 (1)</title><link>https://wontaekim89.github.io/posts/23/</link><pubDate>Mon, 09 Jan 2023 11:48:57 +0900</pubDate><guid>https://wontaekim89.github.io/posts/23/</guid><description/></item><item><title>[Meta Learning] Few-Shot Learning을 알아보자!</title><link>https://wontaekim89.github.io/posts/8/</link><pubDate>Thu, 29 Sep 2022 11:46:10 +0900</pubDate><guid>https://wontaekim89.github.io/posts/8/</guid><description/></item><item><title>[VGG]VGGNet을 한번 파헤쳐보자!</title><link>https://wontaekim89.github.io/posts/4/</link><pubDate>Sat, 17 Sep 2022 14:54:42 +0900</pubDate><guid>https://wontaekim89.github.io/posts/4/</guid><description/></item><item><title>[차원축소]차원축소 모델 비교분석_의료</title><link>https://wontaekim89.github.io/posts/7/</link><pubDate>Tue, 13 Sep 2022 18:30:15 +0900</pubDate><guid>https://wontaekim89.github.io/posts/7/</guid><description/></item><item><title>[CNN]CNN(Convolutional Neural Networks) : 합성곱 신경망을 파헤쳐보자!</title><link>https://wontaekim89.github.io/posts/5/</link><pubDate>Wed, 07 Sep 2022 14:22:28 +0900</pubDate><guid>https://wontaekim89.github.io/posts/5/</guid><description/></item></channel></rss>