滴滴国际事业群IBG-算法实习生
实习兼职算法类地点：杭州状态：招聘
包括英文材料
学历+
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.
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.
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.
强化学习+
https://cloud.google.com/discover/what-is-reinforcement-learning?hl=en
Reinforcement learning (RL) is a type of machine learning where an "agent" learns optimal behavior through interaction with its environment.
https://huggingface.co/learn/deep-rl-course/unit0/introduction
This course will teach you about Deep Reinforcement Learning from beginner to expert. It’s completely free and open-source!
https://www.kaggle.com/learn/intro-to-game-ai-and-reinforcement-learning
Build your own video game bots, using classic and cutting-edge algorithms.
相关职位
实习技术类
1. 参与国际化网约车交易策略算法的优化与迭代，包括司乘匹配，序列建模，运筹优化等方向 2. 使用机器学习/强化学习等算法和技术，优化成交率等核心业务指标
更新于 2025-09-03
实习技术类
面对国际化外卖业务复杂的多边业务交易市场，使用深度学习、机器学习、因果推断等工具，设计最核心的交易匹配算法与策略，支持国际化所有国家和城市，直接提升国际化业务核心指标，助力滴滴在国际市场的成功。 研究主要包括国际外卖场景下时间预估、奖励策略等，持续提升用户体验与履约指标；
更新于 2025-07-22
实习技术类
1.宏观供需预测相关数据分析，评估现有模型预测效果，对badcase进行深入分析，引导下一轮迭代优化 2.宏观供需预测算法开发优化，结合业界前沿案例，实现市场指标预估的优化提升，优化特殊日期，天气下预估效果 3.根据业务需求，进行制定指标未来6周，小时/天/周维度的预测
更新于 2025-08-20