MACHINE LEARNING is the second session of ScienceOne, produced by the Institute of Automation, Chinese Academy of Sciences (CASIA). This program is organized to promote the co-building of an open, shared, and platform-driven "AI for Science" ecosystem with global partners.

In the second session, Prof. ZHU Xiangyu will provide a brief introduction to machine learning. This lecture will cover core concepts and methodologies, including Forms of Learning, Supervised Learning, Model Selection and Optimization, Linear Regression and Classification, Nonparametric Models, and Ensemble Learning.

This course is designed for university students, teachers, and those interested in computer technology and AI. It aims to introduce the core principles and methods of machine learning in an accessible and understandable manner, helping you to easily build a knowledge framework for data-driven intelligence systems. With detailed explanations, we expect that you will be able to understand the intricacies of learning algorithms and develop an interest in further studies of related fields.

The following provides the detailed information for the Lecture 2 of  ScienceOne:  Machine Learning

Date & Time:
15:00 – 16:00 (Beijing Time, GMT+8), March 17, 2026

Join Microsoft Teams Meeting:

Meeting Link: https://teams.live.com/dl/launcher/launcher.html?url=%2F_%23%2Fmeet%2F9396775725181%3Fp%3D9CLI190f85yeUkcqA3%26anon%3Dtrue&type=meet&deeplinkId=7efaefd2-e03f-405f-941c-32cc9d60766e&directDl=true&msLaunch=true&enableMobilePage=true&suppressPrompt=true

Meeting ID: 939 677 572 518 1

Passcode: Zh2Wq2

For more information, please visit ANSO's official website: http://www.anso.org.cn/News_Media/News/202603/t20260304_825009.html

Lecture Schedule for ScienceOne:

Lecture 1 Panshi · One-stop Scientific Research Platform 19 Jan.
Lecture 2 Machine Learning 17 Mar.
Lecture 3 Deep Learning and Large Language Models 15 Apr. (Temporarily)
Lecture 4 AI-Ready Data Preparation 19 May (Temporarily)
Lecture 5 Reinforcement Learning and Large Language Models 16 Jun. (Temporarily)
Lecture 6 AI-driven Automatic Scientific Knowledge Discovery 14 Jul. (Temporarily)
Lecture 7 Introduction to Intelligent Computing 18 Aug. (Temporarily)
Lecture 8 Foundation of AI Agent 15 Sep. (Temporarily)
Lecture 9 AI4Science Domain-specific Applications 19 Oct. (Temporarily)