个结果，搜索词为 "machine learning methods"
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DeepLearning.AI
您将获得的技能: 机器学习, 数据操作, 数值分析, 机器学习算法, 微积分, 数据科学, 数据转换, 概率与统计, 抽样（统计）, NumPy, 描述性统计, 降维, 统计假设检验, 统计机器学习, 应用数学, 贝叶斯统计, 探索性数据分析, 概率分布, 线性代数, 概率
状态：免费试用多位教师
您将获得的技能: 机器学习, 数据伦理, 分类算法, Scikit-learn （机器学习库）, 监督学习, 人工智能, NumPy, 强化学习, 模型评估, 迁移学习, 无监督学习, Jupyter, 数据预处理, 决策树学习, 应用机器学习, 深度学习, 随机森林算法, 张力流, 功能工程, 预测建模
状态：新状态：免费试用Dartmouth College
您将获得的技能: Artificial Neural Networks, Probability & Statistics, Bayesian Statistics, Probability Distribution, Deep Learning, Machine Learning, Supervised Learning, Statistical Methods, Data Preprocessing, Model Evaluation
状态：免费试用您将获得的技能: 机器学习, 分类算法, Scikit-learn （机器学习库）, 监督学习, 降维, 模型评估, 回归分析, 无监督学习, 决策树学习, Python 程序设计, 逻辑回归, 应用机器学习, 预测建模, 数据预处理
状态：免费试用Imperial College London
您将获得的技能: 机器学习, 机器学习算法, 统计, 微积分, 概率与统计, Algorithm, 降维, NumPy, 回归分析, 人工神经网络, 数据预处理, 应用数学, 衍生产品, Python 程序设计, Jupyter, 统计分析, 线性代数, 无监督学习, 高等数学
是什么让您今天来到 Coursera？
状态：免费试用Alberta Machine Intelligence Institute
您将获得的技能: 机器学习, 负责任的人工智能, 数据伦理, MLOps（机器学习 Operator）, 分类算法, 机器学习算法, 模型部署, 产品生命周期管理, 监督学习, 模型评估, 数据清理, 功能工程, Data Validation, 决策树学习, 应用机器学习, 项目管理, 业务运营, 数据质量, Jupyter, 数据预处理
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
状态：免费Amazon Web Services
您将获得的技能: Artificial Intelligence and Machine Learning (AI/ML), Generative AI, Deep Learning, AI Enablement, Artificial Intelligence, Amazon Web Services, Applied Machine Learning, Machine Learning, Digital Transformation
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：新状态：免费试用您将获得的技能: Healthcare Ethics, Health Informatics, Machine Learning, Deep Learning, Machine Learning Software, Clinical Informatics, Statistical Machine Learning, Convolutional Neural Networks, Data Preprocessing, Predictive Modeling, Electronic Medical Record System, Machine Learning Algorithms, Recurrent Neural Networks (RNNs), Model Evaluation, Data Analysis
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
- Machine Learning Fundamentals: Dartmouth College
- 机器学习和数据科学数学: DeepLearning.AI
- 机器学习: DeepLearning.AI
- Machine Learning with Neural Networks: Dartmouth College
- 使用 Python 进行机器学习: IBM
- 机器学习数学: Imperial College London
- 机器学习真实世界中的算法: Alberta Machine Intelligence Institute
- Machine Learning on Google Cloud: Google Cloud
- AI and Machine Learning Essentials with Python: University of Pennsylvania
- Fundamentals of Machine Learning and Artificial Intelligence: Amazon Web Services
