2021 NCTS Machine Learning Summer School

July 16-18, 2021

Date:

Venue:

Introduction

這個暑期學校將針對對應用機器學習在物理上感到興趣的大學生或研究生提供簡明但有系統的機器學習課程。課程中將邀請相關領域的專家講授，並同時強調基本理論與實際動手操作的能力。三天的課程裡將包含以下的主題

– Basic concepts of machine learning

– Linear and logistic regression problems

– Supervised learning methods: Support vector machine and tree-based models

– Foundations of deep learning

– Hyperparameter tuning, regularization and optimization

– Convolutional neural networks

– Unsupervised learning methods: Dimension reduction and clustering

Registration

學員名額50人，第一階段開放大二以上，對微積分及線性代數有基本概念之在學學生報名。

報名需老師推薦信一封，或能自行 git clone github repo 之證明。

Instructor

Teaching Assistants

Organizing Committee