个结果，搜索词为 "machine learning methods"
状态：免费试用多位教师
您将获得的技能: Transfer Learning, 预测建模, 决策树学习, 机器学习, 无监督学习, 监督学习, 强化学习, NumPy, 模型评估, Jupyter, 分类算法, 人工智能, 功能工程, 随机森林算法, 数据伦理, 深度学习, Scikit-learn （机器学习库）, 张力流, 应用机器学习, 数据预处理
状态：免费试用DeepLearning.AI
您将获得的技能: 应用数学, 机器学习算法, 探索性数据分析, 微积分, 线性代数, 数值分析, 描述性统计, 机器学习, 降维, 数据操作, 概率与统计, NumPy, 概率分布, 贝叶斯统计, 概率, 统计机器学习, 抽样（统计）, 数据科学, 数据转换, 统计假设检验
状态：新状态：免费试用您将获得的技能: Random Forest Algorithm, Decision Tree Learning, Data Preprocessing, Applied Machine Learning, Jupyter, Classification Algorithms, Java, Sampling (Statistics), Feature Engineering, Model Evaluation, Supervised Learning, Predictive Modeling, Machine Learning, Learning Styles, Program Evaluation, Program Implementation
状态：新状态：免费试用Dartmouth College
您将获得的技能: Supervised Learning, Model Evaluation, Predictive Modeling, Regression Analysis, Machine Learning, Statistical Modeling, Logistic Regression, Probability & Statistics, Classification Algorithms
状态：免费试用O.P. Jindal Global University
您将获得的技能: Marketing Analytics, Digital Marketing, Web Analytics, Digital Advertising, Customer Analysis, Search Engine Marketing, Supervised Learning, Online Advertising, Customer Retention, Text Mining, Predictive Analytics, Search Engine Optimization, Google Ads, Data-Driven Decision-Making, Marketing Channel, Google Analytics, Social Media Marketing, Data Ethics, Data Mining, Customer Insights
状态：免费试用状态：人工智能技能University of Pennsylvania
您将获得的技能: Statistical Machine Learning, Data Preprocessing, Model Evaluation, PyTorch (Machine Learning Library), Statistical Methods, Probability, Probability & Statistics, Sampling (Statistics), Logistic Regression, Deep Learning, Probability Distribution, Supervised Learning, Statistics, Machine Learning Methods, Machine Learning, Agentic systems, Artificial Neural Networks, Artificial Intelligence, Algorithms, Python Programming
是什么让您今天来到 Coursera？
状态：免费试用Imperial College London
您将获得的技能: 回归分析, 机器学习算法, 微积分, 线性代数, 降维, 机器学习, 应用数学, Python 程序设计, NumPy, 无监督学习, 概率与统计, Algorithm, 人工神经网络, 高等数学, Jupyter, 数据预处理, 衍生产品, 统计分析, 统计
状态：免费试用Google Cloud
您将获得的技能: Feature Engineering, Tensorflow, Model Deployment, Google Cloud Platform, MLOps (Machine Learning Operations), Embeddings, Machine Learning, Keras (Neural Network Library), Model Evaluation, Data Preprocessing, Generative AI, Applied Machine Learning, Data Cleansing, Data Quality, AI Enablement, Data Management, Supervised Learning, Scikit Learn (Machine Learning Library), Machine Learning Algorithms, Cloud Computing
状态：免费试用Alberta Machine Intelligence Institute
您将获得的技能: 机器学习算法, 模型部署, 机器学习, 决策树学习, 监督学习, 产品生命周期管理, 负责任的人工智能, MLOps（机器学习 Operator）, 模型评估, 分类算法, 项目管理, 功能工程, 应用机器学习, Jupyter, 数据伦理, Data Validation, 数据质量, 数据预处理, 业务运营, 数据清理
状态：免费试用Johns Hopkins University
您将获得的技能: Model Evaluation, PyTorch (Machine Learning Library), Unsupervised Learning, Data Preprocessing, Computer Vision, Machine Learning Algorithms, Applied Machine Learning, Image Analysis, Dimensionality Reduction, Reinforcement Learning, Feature Engineering, Convolutional Neural Networks, Regression Analysis, Classification Algorithms, Data Cleansing, Machine Learning, Data Mining, Deep Learning, Supervised Learning, Artificial Neural Networks
状态：免费试用您将获得的技能: 回归分析, 预测建模, 降维, 决策树学习, Python 程序设计, 逻辑回归, 机器学习, 监督学习, 模型评估, 分类算法, Scikit-learn （机器学习库）, 无监督学习, 应用机器学习, 数据预处理
状态：新状态：免费试用Coursera
您将获得的技能: Model Evaluation, Supervised Learning, Unsupervised Learning, Data Preprocessing, Time Series Analysis and Forecasting, Applied Machine Learning, Machine Learning Algorithms, Feature Engineering, Dimensionality Reduction, Machine Learning, Predictive Modeling, Predictive Analytics, Scikit Learn (Machine Learning Library), Classification Algorithms, Forecasting, Decision Tree Learning, Anomaly Detection, Data Manipulation, Regression Analysis, Statistical Modeling
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: DeepLearning.AI
- 机器学习和数据科学数学: DeepLearning.AI
- Improve Accuracy with ML Ensemble Methods: Coursera
- Machine Learning Fundamentals: Dartmouth College
- Machine Learning for Marketing: O.P. Jindal Global University
- AI and Machine Learning Essentials with Python: University of Pennsylvania
- 机器学习数学: Imperial College London
- Machine Learning on Google Cloud: Google Cloud
- 机器学习真实世界中的算法: Alberta Machine Intelligence Institute
- Applied Machine Learning: Johns Hopkins University
