阿里巴巴算法工程师-机器学习
校招全职阿里控股2026届秋季应届生招聘地点:北京 | 杭州状态:招聘
任职要求
1. 熟悉常用机器学习算法,熟悉模式识别、深度学习、增强学习、联邦学习等相关领域; 2. 极佳的工程实现能力,精通C/C++、Java、Python等至少一门编程语言; 3. 有数理分析方面良好的素养以及数理统计概率论基础; 4. 良好的数据敏感能力,较强的逻辑分析能力; 5. 学习能力强,对新事物保有好奇心,并能快速适应新环境;良好的沟…
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工作职责
我们专注于大数据之上的机器学习算法研究与应用,如果你了解机器学习、深度学习、强化学习、迁移学习、主动学习、特征提取与稀疏学习、等级学习等相关知识,对人工智能抱有极大的热情,勇于挑战各种实际应用难题,欢迎加入我们! 具体职责包括但不限于: 1. 负责机器学习、深度学习领域的技术研发工作,包括但不限于神经元网络模型设计与优化、强化学习、迁移学习、主动学习、维度降低、核方法、谱方法、特征提取与稀疏学习、等级学习、推荐、随机优化等的算法和系统研发等; 2. 负责机器学习尤其是深度学习前沿问题的探索与研究,结合未来实际应用场景,提供全面的技术解决方案; 3. 负责提供分布式的算法解决方案,大幅提升算法计算规模和性能; 4. 负责提供大数据分析建模方案,沉淀行业解决方案,协助拓展业务边界。
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/
模式识别+
https://www.mathworks.com/discovery/pattern-recognition.html
Pattern recognition is the process of classifying input data into objects, classes, or categories using computer algorithms based on key features or regularities.
https://www.microsoft.com/en-us/research/wp-content/uploads/2006/01/Bishop-Pattern-Recognition-and-Machine-Learning-2006.pdf
Pattern recognition has its origins in engineering, whereas machine learning grew out of computer science.
深度学习+
https://d2l.ai/
Interactive deep learning book with code, math, and discussions.
还有更多 •••