今日はNIH videocastの機械学習、統計関係の動画を紹介します。
まず、機械学習の動画です。
Machine Learning
https://videocast.nih.gov/watch=54741
Friday, June 14, 2024, 12:00:00 PM
内容紹介：Machine learning is a useful tool for discovery and pattern recognition. In this lecture, I will introduce basic concepts of supervised and unsupervised learning, describe some common learning methods, and provide illustrative examples.
Author: Ken Cheung, PhD
次は、生命科学でよく用いられるメタアナリシスの入門動画です。
Meta Analysis メタアナリシス
内容紹介: Meta-analysis a subset of systematic reviews; is a method for systematically combining pertinent qualitative and quantitative study data from several selected studies to develop a single conclusion that has greater statistical power. The objective of our presentation is to provide a brief overview of meta-analysis methodology. At the end of the brief presentation the participants will have a general understanding of the four basic steps required for a good meta-analysis.
Author: Henry Roberts, PhD
https://videocast.nih.gov/watch=54739
次は同じく統計解析のロジスティック回帰分析の入門動画です。
Logistic Regression Analysis
内容紹介：In this lecture, I will present how to perform logistic regression analysis and Receiver Operating Characteristic (ROC) curve analysis including the model evaluation and results interpretation.
Author: Tianxia Wu, PhD
https://videocast.nih.gov/watch=54737