MLAPP Reading Group – Spring 2025 2025年春季第三届“斛兵”机器学习读书会

Introduction 介绍

The MLAPP Reading Group is a semester-long program for HFUT students beginning their study of machine learning. It aims to build a broad and rigorous understanding of the field through systematic study of the MLAPP book. Sessions combine student-led presentations with guidance and feedback from faculty mentors, covering both foundational concepts and more advanced topics.

“斛兵”机器学习读书会是供合肥工业大学的机器学习领域的入门学生系统的一个学期内学习完毕《概率机器学习》这本书，这对于更好更广泛的理解机器学习至关重要。我们将采用学生主导并汇报、导师指导点评的方式，并以远快于本科机器学习基础课程的速度学习机器学习及相关领域的前沿知识。

The reading group provides a foundation for research in artificial intelligence. 学成之后将基本具备从事人工智能相关科研的基础。

The 2025 reading group has concluded. 第三届2025年春季机器学习读书会圆满完成！新闻稿

Outstanding presenters will receive awards and gifts from Dean Richang Hong. 最佳报告人将会获得洪院长颁发的奖品，敬请期待！

The 2024 reading group has concluded. 第二届2024年春季学习读书会圆满完成！请查看图片！

The 2023 reading group has concluded. Read the news report (in Chinese). 第一届2023年春季学习读书会圆满完成并为最佳报告人颁奖！请查看新闻稿。

请在飞书问卷报名：https://kjyq8je1lf.feishu.cn/share/base/form/shrcnur6bNFkHj94ZpBfWNVC11e

Resources

MLAPP: https://probml.github.io/pml-book/
PRML: https://www.microsoft.com/en-us/research/uploads/prod/2006/01/Bishop-Pattern-Recognition-and-Machine-Learning-2006.pdf
概率机器学习 by 朱军: http://www.tup.tsinghua.edu.cn/bookscenter/book_09652101.html
Deep Learning: https://www.deeplearningbook.org/
统计学习方法 by 李航: https://book.douban.com/subject/33437381/
动手学深度学习: https://zh.d2l.ai/

Schedule

Number	Content	Materials	Presenter	Date
1	Book 1 - Introduction and Foundations	mlapp-1,2. prml-1,2	Wenbo Hu	March 3 (TBD)
2	Book 1 - Linear Models	mlapp-7,8. prml-chap3,4.
3	Book 1 - Deep Neural Networks	mlapp-16. prml-5,28.
4	Book 1 - Nonparametric Methods	mlapp-14,16. prml-6,7
5	Book 1 - Beyond Supervised Learning	mlapp-25
6	Book 2 - Fundamentals (Probability, Bayesian Statistics, Information Theory)
7	Book 2 - Fundamentals (Probabilistic Graphical Models)	mlapp-19, prml-8
8	Book 2 - Fundamentals (Optimization)
9	Book 2 - Inference (Overview, SSM, Exact Inference)	mlapp-18,19
10	Book 2 - Inference (Variational Inference)
11	Book 2 - Inference (Monte Carlo)	mlapp-10, 12
12	Book 2 - Prediction	mlapp-15
13	Book 2 - Generation
14	Book 2 - Discovery
15	Book 2 - Action
16	Book 2 - Large Language Models

Prerequisites 要求

Background in calculus, linear algebra, probability, and statistics, and familiarity with at least one programming language. 完成微积分、线性代数、概率论与数理统计以及任意一种编程语言。
Prior exposure to machine learning through courses or textbooks. 阅读过机器学习相关书籍。

How to Join 如何加入

Register using the form. 点击链接报名 https://kjyq8je1lf.feishu.cn/share/base/form/shrcnUCtcBhjZpnjGdMK8mMUwdd
Undergraduates and early-stage graduate students are welcome.欢迎本科生和低年级研究生加入！
Places are limited. Please contact Wenbo Hu for details. (Email: wenbohu[at]hfut.edu.cn) 名额有限，请联系胡文波老师。
Please also watch for spring 2025 announcements from academic advisers and faculty. 也可以请关注2025年春季学期辅导员老师的通知。

Mentors

Wenbo Hu
Richang Hong