凸优化课程
凸优化课程可以帮助您学习线性规划、对偶理论和梯度下降方法。您可以掌握制定优化问题、分析凸集以及将算法应用到实际工作中的技能。许多课程都会介绍 MATLAB、Python 库和优化软件等工具，这些工具支持在机器学习、人工智能和 Operator 研究等领域实施解决方案。
热门凸优化课程和认证
状态：新状态：免费试用University of Pittsburgh
您将获得的技能: NumPy, Matplotlib, Linear Algebra, Pandas (Python Package), Data Manipulation, Applied Mathematics, Data Visualization, Python Programming, Data Analysis, Data Science, Regression Analysis, Data Visualization Software, Mathematics and Mathematical Modeling, Probability & Statistics, Statistics, Numerical Analysis, Mathematical Modeling, Machine Learning, Computational Logic, Logical Reasoning
状态：免费试用University of Alberta
您将获得的技能: 概率分布, 深度学习, 机器学习算法, 人工神经网络, 线性代数, 强化学习, 功能工程, 机器学习, 伪代码, 监督学习
状态：免费试用Alberta Machine Intelligence Institute
您将获得的技能: MLOps（机器学习 Operator）, 负责任的人工智能, 模型评估, 持续监测, 风险缓解, 道德标准与行为, 利益攸关方沟通, 运行分析, AI 赋能, 性能指标, 模型部署, 机器学习, 应用机器学习, 系统集成, 企业战略, 数据维护, 业务运营, 数据伦理
状态：免费试用Johns Hopkins University
您将获得的技能: 概率与统计, 统计分析, 模型评估, 统计建模, 回归分析, 数据分析, 统计推理, 逻辑回归
状态：免费试用DeepLearning.AI
您将获得的技能: 描述性统计, 统计分析, 概率与统计, 应用数学, 机器学习算法, 概率分布, 抽样（统计）, NumPy, 统计假设检验, 数值分析, Machine Learning 方法, A/B 测试, 贝叶斯统计, 线性代数, 降维, 机器学习, 统计推理, 微积分, 数据预处理, 概率
状态：新状态：免费试用您将获得的技能: Hugging Face, Large Language Modeling, MLOps (Machine Learning Operations), Generative AI, Artificial Intelligence and Machine Learning (AI/ML), AI Product Strategy, Transfer Learning, Applied Machine Learning, AI Personalization, Model Deployment, Model Evaluation, Responsible AI, Performance Tuning, Model Based Systems Engineering, Program Evaluation, Analysis
状态：免费试用Imperial College London
您将获得的技能: 衍生产品, 机器学习算法, Python 程序设计, 人工神经网络, 线性代数, 回归分析, 微积分, 高等数学, 数学建模
状态：预览您将获得的技能: Model Evaluation, MLOps (Machine Learning Operations), Generative AI, Continuous Monitoring, Google Cloud Platform, Predictive Modeling, Responsible AI, Data Quality
您将获得的技能: Model Evaluation, Generative AI, Continuous Monitoring, MLOps (Machine Learning Operations), Model Deployment, Machine Learning Methods, Applied Machine Learning
您将获得的技能: Model Evaluation, Image Analysis, Amazon Web Services, Image Quality, Computer Vision, Model Deployment, Data Import/Export, Anomaly Detection, Data Science, Machine Learning, Cloud Computing
状态：免费试用Imperial College London
您将获得的技能: 应用数学, 机器学习算法, Python 程序设计, 线性代数, Jupyter, NumPy, Algorithm
状态：免费试用University of Colorado System
您将获得的技能: Bayesian Network, Numerical Analysis, Estimation, Simulations, Matlab, Mathematical Modeling, Applied Mathematics, Engineering Analysis, Algorithms
总之，以下是 10 最受欢迎的 convex optimization 课程
- Linear Algebra and Regression Fundamentals for Data Science: University of Pittsburgh
- 利用函数逼近进行预测和控制: University of Alberta
- 优化机器学习性能: Alberta Machine Intelligence Institute
- 回归模型: Johns Hopkins University
- 机器学习和数据科学数学: DeepLearning.AI
- Fine-Tune & Optimize Generative AI Models: Coursera
- 机器学习数学多元微积分: Imperial College London
- Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - Français: Google Cloud
- Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - Español: Google Cloud
- Build Image Quality Inspection using AWS Lookout for Vision: Coursera
