主講人:Professor N.Balakrishnan(University of Canada)

目:Reliability Modelling and Assessment of a Heterogeneously Repaired System with Partially Relevant Recurrence Data

期:1081022日(星期二)

  間:下午14:10開始

點:科學館S433

 摘要Abstract:

In this talk, I will describe the form of a real data on repairs of systems and recurrent data.The difficulty arises from the fact that the data only contain partially relevant recurrence data. I will then describe the modeling of this problem, develop a Bayesian method of inference, and finally illustrate it with a real-life data from a large-scale industry.


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主講人:劉晉良教授(清華大學計算與建模科學研究所教授)
演講主題:~AI abc: An Introduction to Machine Learning~


活動說明:

一、時間:108年10月2日(週三)10:30開始

二、地點:淡水校園科學館C013

三、引言人:楊定揮主任

四、報名方式:(本活動列入教師參與校內教學研習活動次數統計)

報名網址:http://enroll.tku.edu.tw/course.aspx?cid=tsmx20191002

演講摘要Abstract:

Based on Google's MNIST for ML (Machine Learning) beginners, I introduce a basic knowledge (abc) of Supervised ML (an important part of Artificial Intelligence) from the perspective of algorithm, big data, and coding (abc). The audience can acquire some fundamentals of SML in one hour that include mathematical properties of Learning, algorithmic approaches to deal with Big Data, and a glimpse of Python Coding in AI. It is hoped that one can briefly understand the code given in the talk and run it successfully in one day.

This may help one to ponder whether one should spend her or his life to pursue AI. MNIST is a database of handwritten digits created by Yann LeCun, a pioneer in modern AI, and is short for Mixed National Institute of Standards and Technology.

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