機器學習基石 – 林軒田 (Machine Learning Foundations – Prof. Hsuan-Tien Lin)

臺大資訊工程學系 林軒田副教授

歡迎大家!這門課將採用英文投影片配合華文的教學講解,我們希望能藉這次華文教學的機會,將機器學習介紹給更多華人世界的入門者。課程中使用的英文投影片不會使用到艱深的英文,如果你能了解以下兩段的課程簡介,你應該也可以了解課程所使用的英文投影片。

完整課程請登錄 Coursera 平台觀看:https://www.coursera.org/program/ntumlone

Affiliate Professor Hsuan-Tien Lin, Division of Laptop or computer Science and Data Engineering, NTU

Welcome! The instructor has made a decision to train the program in Mandarin on Coursera, even though the slides of the program will be in English to ease the specialized illustrations. We hope that this selection can help introduce Machine Learning to a lot more newcomers in the Mandarin-talking world. The English-published slides will not have to have sophisticated English potential to comprehend, while. If you can comprehend the adhering to descriptions of this program, you can likely stick to the slides.

Machine learning is an exciting field with tons of programs in engineering, science, finance, and commerce. It is also a pretty dynamic field, in which quite a few new tactics are being developed every day, and the very hot tactics and theories at occasions can rise and disappear fast. Thus, users of machine learning from other fields typically encounter the dilemma of deciding upon or applying the tactics effectively. In this program, we emphasize the needed fundamentals that give any scholar of machine learning a stable basis, and enable him or her to exploit current tactics effectively, check out more tactics and theories, or probably to lead their individual in the long run.

The program approximately corresponds to the to start with fifty percent-semester of the Countrywide Taiwan College program “Machine Learning”, and the next fifty percent-semester is predicted to be on Coursera below the name “Machine Learning Tactics” soon in the long run. Primarily based on 5 many years of teaching this well-known program effectively (including successful the most prestigious teaching award of Countrywide Taiwan College) and talking about with quite a few other students actively, the instructor chooses to concentrate on what he believes to be the core matters that every scholar of the issue should really know. The students shall get pleasure from a story-like movement shifting from “When Can Machines Master” to “Why”, “How” and outside of.

For completed program you should signal up at : https://www.coursera.org/program/ntumlone