个结果，搜索词为 "machine learning algorithms"
状态：免费试用Alberta Machine Intelligence Institute
您将获得的技能: 机器学习, 机器学习算法, 项目管理, 数据处理, 数据伦理, 负责任的人工智能, 道德标准与行为, 产品生命周期管理, 数据清理, 数据质量, 功能工程, 分类与回归树 (CART), Data Validation, 业务运营, Jupyter, 应用机器学习, Machine Learning 方法, 测试数据, MLOps（机器学习 Operator）, 监督学习
状态：免费试用您将获得的技能: Data Science, Unsupervised Learning, Exploratory Data Analysis, Probability & Statistics, Machine Learning Algorithms, Applied Machine Learning, Classification And Regression Tree (CART), Data Analysis, Python Programming, Random Forest Algorithm, Dimensionality Reduction, Predictive Modeling, NumPy, Regression Analysis, Statistical Analysis, Data Processing, Deep Learning, Pandas (Python Package), Data Visualization, Data Manipulation
状态：免费试用您将获得的技能: 机器学习, 预测建模, 回归分析, Scikit-learn （机器学习库）, 降维, 决策树学习, 统计建模, 应用机器学习, 无监督学习, 功能工程, 分类与回归树 (CART), 监督学习
状态：新状态：免费试用您将获得的技能: Regression Analysis, Matplotlib, Feature Engineering, Time Series Analysis and Forecasting, Jupyter, Image Analysis, Scikit Learn (Machine Learning Library), Applied Machine Learning, Tensorflow, Data Visualization, Machine Learning Algorithms, Amazon Web Services, Python Programming, Cloud Applications, Data Transformation, Predictive Modeling, Data Processing, Health Informatics, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML)
状态：免费试用多位教师
您将获得的技能: 机器学习, Python 程序设计, 深度学习, 预测建模, 负责任的人工智能, 人工智能和机器学习（AI/ML）, 数据伦理, NumPy, 应用机器学习, 强化学习, 随机森林算法, 人工智能, 决策树学习, Jupyter, 监督学习, 分类与回归树 (CART), 功能工程, 无监督学习, 张力流, Scikit-learn （机器学习库）
状态：免费试用您将获得的技能: Feature Engineering, Applied Machine Learning, Advanced Analytics, Machine Learning, Unsupervised Learning, Workflow Management, Data Ethics, Supervised Learning, Data Validation, Classification And Regression Tree (CART), Random Forest Algorithm, Decision Tree Learning, Python Programming, Performance Tuning
是什么让您今天来到 Coursera？
状态：免费试用您将获得的技能: Unsupervised Learning, Generative AI, Large Language Modeling, Supervised Learning, Deep Learning, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Reinforcement Learning, Statistical Machine Learning, Predictive Modeling, Machine Learning Algorithms, Artificial Neural Networks, Feature Engineering, Unstructured Data, Dimensionality Reduction, Performance Metric
状态：免费试用University of Washington
您将获得的技能: 机器学习, 贝叶斯统计, 机器学习算法, 深度学习, 预测建模, 回归分析, 文本挖掘, 人工智能, 分类与回归树 (CART), 功能工程, 预测分析, 计算机视觉, 大数据, 应用机器学习, 无监督学习, 统计机器学习, 图像分析, 数据挖掘, 统计建模, 监督学习
状态：免费试用Alberta Machine Intelligence Institute
您将获得的技能: Python 程序设计, 机器学习, 回归分析, 数据处理, 机器学习算法, 业务解决方案, 分类与回归树 (CART), Scikit-learn （机器学习库）, 功能工程, 性能指标, Jupyter, 应用机器学习, 监督学习, 性能分析
状态：免费试用Imperial College London
您将获得的技能: 机器学习, Python 程序设计, 回归分析, Algorithm, 数据操作, 线性代数, 机器学习算法, 统计分析, 统计, 微积分, 数据科学, 人工神经网络, NumPy, 概率与统计, 降维, 应用数学, Jupyter, 衍生产品, 高等数学
状态：免费试用DeepLearning.AI
您将获得的技能: 描述性统计, 机器学习, A/B 测试, 贝叶斯统计, 统计分析, 线性代数, 概率分布, 微积分, 统计推理, 数据转换, 数学建模, 概率与统计, 统计假设检验, NumPy, 概率, 应用数学, 降维, 抽样（统计）, Machine Learning 方法, 数值分析
状态：新状态：免费试用Dartmouth College
您将获得的技能: Supervised Learning, Predictive Modeling, Predictive Analytics, Statistical Modeling, Machine Learning, Machine Learning Algorithms, Regression Analysis, Probability & Statistics, Linear Algebra
与 machine learning algorithms 相关的搜索
总之，以下是 10 最受欢迎的 machine learning algorithms 课程
- 机器学习真实世界中的算法: Alberta Machine Intelligence Institute
- Mastering Machine Learning Algorithms using Python: Packt
- 使用 Python 进行机器学习: IBM
- AI Driven Machine Learning with Python: EDUCBA
- 机器学习: DeepLearning.AI
- The Nuts and Bolts of Machine Learning: Google
- AI and Machine Learning Algorithms and Techniques: Microsoft
- 机器学习: University of Washington
- 机器学习算法：监督学习从头到尾: Alberta Machine Intelligence Institute
- 机器学习数学: Imperial College London
