小米广告算法实习生
实习兼职地点：北京状态：招聘
工作描述
任职要求 1、熟悉常用的机器学习算法，例如GBDT、LR、LTR，深度学习Wide&Deep/DeepFM等； 2、熟悉常用的特征工程方法； 3、熟练掌握Python,Scala,C++,Java中两门以上编程语言； 4、熟悉Tensorflow/PaddlePaddle等常用分布式深度学习框架，熟悉Spark/Ha…
登录查看完整工作描述
微信扫码，1秒登录
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.
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/
GBDT+
https://developers.google.com/machine-learning/decision-forests/intro-to-gbdt
Like bagging and boosting, gradient boosting is a methodology applied on top of another machine learning algorithm.
https://scikit-learn.org/stable/modules/ensemble.html
Ensemble methods combine the predictions of several base estimators built with a given learning algorithm in order to improve generalizability / robustness over a single estimator.
深度学习+
https://d2l.ai/
Interactive deep learning book with code, math, and discussions.
DeepFM+
https://d2l.ai/chapter_recommender-systems/deepfm.html
DeepFM consists of an FM component and a deep component which are integrated in a parallel structure.
https://deeprs-tutorial.github.io/WWW_DNN.pdf
特征工程+
https://www.ibm.com/think/topics/feature-engineering
Feature engineering preprocesses raw data into a machine-readable format. It optimizes ML model performance by transforming and selecting relevant features.
https://www.kaggle.com/learn/feature-engineering
Better features make better models. Discover how to get the most out of your data.
Python+
https://liaoxuefeng.com/books/python/introduction/index.html
中文，免费，零起点，完整示例，基于最新的Python 3版本。
https://www.learnpython.org/
a free interactive Python tutorial for people who want to learn Python, fast.
https://www.youtube.com/watch?v=K5KVEU3aaeQ
Master Python from scratch 🚀 No fluff—just clear, practical coding skills to kickstart your journey!
https://www.youtube.com/watch?v=rfscVS0vtbw
This course will give you a full introduction into all of the core concepts in python.
Scala+
还有更多 •••
相关职位
实习算法类
基本要求 计算机、数学、统计学等相关专业硕士及以上学历 扎实的编程能力，熟练掌握 Python / C++，熟悉 Linux 开发环境 熟悉至少一种深度学习框架（PyTorch / TensorFlo
更新于 2026-07-28北京
实习算法类
1.计算机、数学相关专业硕士以上学位； 2.数据结构和算法功底扎实，熟练使用 C/C++，Python； 3.熟悉常见的机器学习算法以及TensorFlow/pytorch等主流深度学习平台； 加
更新于 2026-08-21北京
实习MEG
-计算机及其相关专业，本科及以上学历优先 -熟悉 C/C++、python语言，具备良好的开发能力 -熟悉的大模型、机器学习算法 -具备良好的逻辑思维能力、学习能力、沟通能力和团队协作能力 -2027
更新于 2026-09-14北京
实习MEG
-计算机及其相关专业，本科及以上学历优先 -熟悉C/C++、Shell/Python语言，具有良好的开发素养 -了解常用的内容推荐、机器学习算法 -具备良好的逻辑思维能力、学习能力、沟通能力、团队协作
更新于 2026-09-14上海