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: 机器学习, 预测建模, 模型评估, 决策树学习, Scikit-learn （机器学习库）, 监督学习, 强化学习, 随机森林算法, 人工智能, NumPy, 迁移学习, Jupyter, 分类算法, 应用机器学习, 无监督学习, 数据预处理, 深度学习, 数据伦理, 张力流, 功能工程
状态：免费试用Imperial College London
您将获得的技能: 概率与统计, 机器学习, 微积分, Algorithm, 应用数学, 降维, Python 程序设计, NumPy, 回归分析, 统计, 人工神经网络, 机器学习算法, 统计分析, 线性代数, 数据预处理, Jupyter, 无监督学习, 衍生产品, 高等数学
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: 概率与统计, 数据操作, 机器学习, 微积分, 数据科学, 抽样（统计）, 应用数学, 描述性统计, 降维, NumPy, 统计机器学习, 概率, 统计假设检验, 机器学习算法, 贝叶斯统计, 探索性数据分析, 数值分析, 数据转换, 概率分布, 线性代数
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：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Alberta Machine Intelligence Institute
您将获得的技能: 负责任的人工智能, 机器学习, 决策树学习, 模型评估, 监督学习, 数据质量, MLOps（机器学习 Operator）, 分类算法, 模型部署, 机器学习算法, 功能工程, 应用机器学习, 产品生命周期管理, 项目管理, 业务运营, Data Validation, 数据伦理, 数据预处理, Jupyter, 数据清理
状态：免费试用您将获得的技能: 机器学习, 预测建模, 模型评估, Scikit-learn （机器学习库）, 决策树学习, 监督学习, 降维, Python 程序设计, 分类算法, 回归分析, 无监督学习, 逻辑回归, 应用机器学习, 数据预处理
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：免费试用您将获得的技能: Feature Engineering, Model Evaluation, Advanced Analytics, Statistical Machine Learning, Unsupervised Learning, Machine Learning, Data Ethics, Supervised Learning, Decision Tree Learning, Random Forest Algorithm, Classification Algorithms, Python Programming, Performance Tuning
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
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
- 机器学习数学: Imperial College London
- Machine Learning Fundamentals: Dartmouth College
- 机器学习和数据科学数学: DeepLearning.AI
- Improve Accuracy with ML Ensemble Methods: Coursera
- AI and Machine Learning Essentials with Python: University of Pennsylvania
- 机器学习真实世界中的算法: Alberta Machine Intelligence Institute
- 使用 Python 进行机器学习: IBM
- Machine Learning for Marketing: O.P. Jindal Global University
- The Nuts and Bolts of Machine Learning: Google
