Linear and Logistic Regression (Traditional Chinese)
Offered By: Amazon Web Services via AWS Skill Builder
Course Description
Overview
注意:本課程將於 11/29/2023 到期。如果您想完成本課程,請在該日期前完成。目前沒有替代課程。
如何在機器學習中做出預測?AWS 應用科學家 Naumaan Nayar 將帶領您了解關鍵點,特別是以下各種線性模型:回歸、最小平方誤差、最大概似估計、正規化、邏輯回歸、經驗損失最小化及梯度最佳化方法。
注意:本課程具有本地化的註釋/字幕。旁白保留英語。要顯示字幕,請按一下播放器右下角的 CC 按鈕。
Tags
Related Courses
Statistical Inference and Modeling for High-throughput ExperimentsHarvard University via edX Estimation for Wireless Communications –MIMO/ OFDM Cellular and Sensor Networks
Indian Institute of Technology Kanpur via Swayam Обобщенные линейные модели
Saint Petersburg State University via Coursera Введение в теорию построения процедур множественной проверки гипотез
Higher School of Economics via Coursera Bayesian Statistics: Mixture Models
University of California, Santa Cruz via Coursera