希音算法实习生-智能选品&促销方向
实习兼职信息技术类地点：南京状态：招聘
包括英文材料
机器学习+
https://www.youtube.com/watch?v=0oyDqO8PjIg
Learn about machine learning and AI with this comprehensive 11-hour course from @LunarTech_ai.
https://www.youtube.com/watch?v=i_LwzRVP7bg
Learn Machine Learning in a way that is accessible to absolute beginners.
https://www.youtube.com/watch?v=NWONeJKn6kc
Learn the theory and practical application of machine learning concepts in this comprehensive course for beginners.
https://www.youtube.com/watch?v=PcbuKRNtCUc
Learn about all the most important concepts and terms related to machine learning and AI.
因果推断+
https://web.stanford.edu/~swager/causal_inf_book.pdf
How best to understand and characterize causality is an age-old question in philosophy.
算法+
https://roadmap.sh/datastructures-and-algorithms
Step by step guide to learn Data Structures and Algorithms in 2025
https://www.hellointerview.com/learn/code
A visual guide to the most important patterns and approaches for the coding interview.
https://www.w3schools.com/dsa/
XGBoost+
[英文] What is XGBoost?
https://www.ibm.com/think/topics/xgboost
XGBoost (eXtreme Gradient Boosting) is a distributed, open-source machine learning library that uses gradient boosted decision trees, a supervised learning boosting algorithm that makes use of gradient descent.
https://www.youtube.com/watch?v=BJXt-WdeJJo
takes a deep dive into one of the most powerful machine learning algorithm, eXtreme Gradient Boosting, using a Jupyter notebook with Python.
还有更多 •••
相关职位
实习阿里巴巴研究型实
1. 自然语言处理、机器学习、数据挖掘、人工智能等相关专业的硕士生/博士生； 2. 熟悉多模态表征学习及搜广推召回/排序应用建模，有多模态预训练/SFT/应用实践经验者优先； 3. 熟练掌握Tenso
更新于 2026-03-20杭州
实习阿里巴巴研究型实
1. 计算机、人工智能、数学等相关专业在读硕士或博士。 2. 扎实的机器学习与深度学习理论基础，熟练掌握Python，精通PyTorch等主流框架。 3. 有多模态领域、大模型等领域有相关实践者优先。
更新于 2026-03-20北京|杭州
实习淘天集团研究型实
1. 计算机、人工智能、数学等相关专业在读硕士或博士。 2. 扎实的机器学习与深度学习理论基础，熟练掌握Python，精通PyTorch等主流框架。 3. 有多模态领域、大模型等领域有相关实践者优先。
更新于 2026-01-27北京|杭州
实习淘天集团研究型实
1. 自然语言处理、机器学习、数据挖掘、人工智能等相关专业的硕士生/博士生； 2. 熟悉多模态表征学习及搜广推召回/排序应用建模，有多模态预训练/SFT/应用实践经验者优先； 3. 熟练掌握Tenso
更新于 2026-01-27杭州