<rss xmlns:atom="http://www.w3.org/2005/Atom" version="2.0"><channel><title>ML - Tag - Yoshi's Software Blog</title><link>/tags/ml/</link><description>ML - Tag - Yoshi's Software Blog</description><generator>Hugo -- gohugo.io</generator><language>en</language><managingEditor>yoshi4868686@gmail.com (Yoshi Gao)</managingEditor><webMaster>yoshi4868686@gmail.com (Yoshi Gao)</webMaster><lastBuildDate>Tue, 12 Dec 2023 07:57:32 +0800</lastBuildDate><atom:link href="/tags/ml/" rel="self" type="application/rss+xml"/><item><title>How Handling Feature with Text Unstructured Data?</title><link>/how_to_handle_unstructured_text_data/</link><pubDate>Tue, 12 Dec 2023 07:57:32 +0800</pubDate><author>Yoshi Gao</author><guid>/how_to_handle_unstructured_text_data/</guid><description></description></item><item><title>System Design for Modern Recommendation System</title><link>/recsys_system_design/</link><pubDate>Sun, 24 Sep 2023 21:00:43 +0800</pubDate><author>Yoshi Gao</author><guid>/recsys_system_design/</guid><description></description></item><item><title>How to Determine the Rollout of Recommendation System?</title><link>/note_ab_testing/</link><pubDate>Sun, 17 Sep 2023 00:45:27 +0800</pubDate><author>Yoshi Gao</author><guid>/note_ab_testing/</guid><description></description></item><item><title>[ML Interview] - What’s the trade-off between bias and variance?</title><link>/ml_interview_bias_variance_trade_off/</link><pubDate>Tue, 22 Aug 2023 09:21:03 +0800</pubDate><author>Yoshi Gao</author><guid>/ml_interview_bias_variance_trade_off/</guid><description></description></item><item><title>Deploy Your ML Model in Microservice Architecture Through Jina</title><link>/introduce_deploy_ml_model_with_jina_flow/</link><pubDate>Sun, 12 Feb 2023 14:14:27 +0800</pubDate><author>Yoshi Gao</author><guid>/introduce_deploy_ml_model_with_jina_flow/</guid><description></description></item><item><title>Comparing the SVM and Logistic Regression</title><link>/note_compare_svm_and_lr/</link><pubDate>Wed, 18 Jan 2023 22:49:08 +0800</pubDate><author>Yoshi Gao</author><guid>/note_compare_svm_and_lr/</guid><description></description></item><item><title>Dealing with Unlabeled Data by Semi-Supervised Learning</title><link>/note_semi_supervised_learning/</link><pubDate>Wed, 11 Jan 2023 07:38:24 +0800</pubDate><author>Yoshi Gao</author><guid>/note_semi_supervised_learning/</guid><description></description></item><item><title>The Techniques to Handle Imbalanced Data</title><link>/note_handling_imbalanced_dataset/</link><pubDate>Tue, 03 Jan 2023 14:41:34 +0800</pubDate><author>Yoshi Gao</author><guid>/note_handling_imbalanced_dataset/</guid><description></description></item><item><title>3 Types of ML Ensemble Design Pattern</title><link>/note_ml_design_pattern_ensemble/</link><pubDate>Mon, 02 Jan 2023 18:32:57 +0800</pubDate><author>Yoshi Gao</author><guid>/note_ml_design_pattern_ensemble/</guid><description></description></item><item><title>A Way To Make Labeling Tasks Easier - Active Learning</title><link>/note_active_learning/</link><pubDate>Fri, 30 Dec 2022 09:05:28 +0800</pubDate><author>Yoshi Gao</author><guid>/note_active_learning/</guid><description></description></item></channel></rss>