QInzhengk/Math-Model-and-Machine-Learning

数学建模、美赛、美国大学生数学建模竞赛、全国大学生数学建模竞赛、华为杯研究生数学建模、国赛LaTeX模板、美赛LaTeX模板、mathorcup、电工杯、华中赛、APMCM、深圳杯、中青杯、华东杯、数维杯、东三省数学建模、认证杯、数学建模书籍、常用matlab算法、国赛评阅要点、软件模型算法汇总、智能算法、优化算法、现代的算法

📚 [.md & .ipynb] Series of Artificial Intelligence & Deep Learning, including Mathematics Fundamentals, Python Practices, NLP Application, etc. 💫 人工智能与深度学习实战，数理统计篇 | 机器学习篇 | 深度学习篇 | 自然语言处理篇 | 工具实践 Scikit & Tensoflow & PyTorch 篇 | 行业应用 & 课程笔记

😎 A curated list of awesome lists across all machine learning topics. | 机器学习/深度学习/人工智能一切主题 (学习范式/任务/应用/模型/道德/交叉学科/数据集/框架/教程) 的资源列表汇总。

This is the notes of the way of machine learning study. You may find something useful in it.

My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接

Master the fundamentals of machine learning, deep learning, and mathematical optimization by building key concepts and models from scratch using Python.

快速上手AI理论及应用实战：基础知识、Transformer、NLP、ML、DL、竞赛。含大量注释及数据集，力求每一位能看懂并复现。

Machine learning and deep learning resources

The AI Compendium, previously called the ML Compendium, curates resources and explanations of machine learning (ML) and deep learning, from a business problem through data, AI, engineering, and product.