个结果，搜索词为 "machine learning methods"
状态：免费试用Fractal Analytics
您将获得的技能: 统计建模, 数据操作, 回归分析, 数据清理, 决策树学习, 监督学习, 机器学习算法, 数据处理, 预测建模, 应用程序部署, 无监督学习, 应用机器学习, 机器学习, 功能工程, 异常检测, 探索性数据分析
状态：预览University of Minnesota
您将获得的技能: 应用数学, 线性代数, 数据分析, Machine Learning 方法, Python 程序设计, NumPy, 应用机器学习, 数值分析, Algorithm, 降维
状态：免费试用Microsoft
您将获得的技能: 数据管道, 负责任的人工智能, 人工智能和机器学习（AI/ML）, 回归分析, 监督学习, Scikit-learn （机器学习库）, 微软 Azure, MLOps（机器学习 Operator）, 云计算管理, 应用程序部署, Virtual Machine, 应用机器学习, 机器学习, 无监督学习, 预测建模, 数据库
状态：预览National Taiwan University
您将获得的技能: Feature Engineering, Deep Learning, Statistical Machine Learning, Artificial Neural Networks, Supervised Learning, Machine Learning Algorithms, Applied Machine Learning, Decision Tree Learning, Machine Learning, Random Forest Algorithm, Unsupervised Learning, Dimensionality Reduction, Regression Analysis
状态：预览National Taiwan University
您将获得的技能: Supervised Learning, Machine Learning, Machine Learning Algorithms, Data Validation, Classification And Regression Tree (CART), Algorithms, Regression Analysis, Predictive Modeling, Feature Engineering, Artificial Intelligence, Data Ethics, Statistical Methods, Data Transformation
状态：免费试用您将获得的技能: Generative AI, Artificial Intelligence and Machine Learning (AI/ML), Responsible AI, Applied Machine Learning, Data Ethics, Machine Learning Methods, Scalability, Machine Learning, Distributed Computing, MLOps (Machine Learning Operations), Ethical Standards And Conduct, Microsoft Azure, Information Privacy
状态：免费试用New York University
您将获得的技能: Scikit-learn （机器学习库）, 回归分析, 监督学习, 统计方法, 金融服务, 强化学习, 金融, 深度学习, 张力流, 机器学习, 应用机器学习, Jupyter, 人工神经网络, 预测建模
状态：免费试用Arizona State University
您将获得的技能: Supervised Learning, Unsupervised Learning, Generative AI, Deep Learning, Image Analysis, Machine Learning Algorithms, Applied Machine Learning, Python Programming, Machine Learning, Artificial Neural Networks, Computer Vision, Computer Programming, Regression Analysis
您将获得的技能: Matplotlib, Applied Machine Learning, Random Forest Algorithm, Predictive Modeling, Predictive Analytics, Machine Learning Algorithms, Data Visualization, Machine Learning, Programming Principles, Data Manipulation, Feature Engineering, Data Cleansing, Supervised Learning, Python Programming, Data Science, Data Processing, NumPy, Pandas (Python Package)
状态：免费试用Alberta Machine Intelligence Institute
您将获得的技能: 人工智能, 监督学习, 机器学习算法, 数据伦理, 性能指标, 数据处理, 应用机器学习, 机器学习, 产品生命周期管理, 无监督学习, 业务要求, 商业分析, 数据质量
状态：免费试用Fractal Analytics
您将获得的技能: 决策树学习, 回归分析, 人工智能和机器学习（AI/ML）, 机器学习算法, 监督学习, 功能工程, 机器学习, 性能调整, 应用机器学习, 随机森林算法, Algorithm, 分类与回归树 (CART), 预测建模
与 machine learning methods 相关的搜索
总之，以下是 10 最受欢迎的 machine learning methods 课程
- 机器学习基础: Fractal Analytics
- 矩阵方法: University of Minnesota
- 面向数据科学家的 Microsoft Azure 机器学习: Microsoft
- 機器學習技法 (Machine Learning Techniques): National Taiwan University
- 機器學習基石下 (Machine Learning Foundations)---Algorithmic Foundations: National Taiwan University
- Advanced AI and Machine Learning Techniques and Capstone: Microsoft
- 金融领域机器学习导览: New York University
- Introduction to Machine Learning with Python: Arizona State University
- Machine Learning: Random Forest with Python from Scratch©: Packt
- 应用机器学习入门: Alberta Machine Intelligence Institute
