个结果，搜索词为 "introduction to machine learning"
状态：预览Duke University
您将获得的技能: 迁移学习, PyTorch（机器学习库）, 卷积神经网络, 自然语言处理, 机器学习, 逻辑回归, 计算机视觉, 人工神经网络, Python 程序设计, 强化学习, 医学影像, 深度学习, 无监督学习, 图像分析, 应用机器学习, 递归神经网络 (RNN), 监督学习
状态：免费试用IBM
您将获得的技能: 探索性数据分析, 回归分析, 数据访问, 模型评估, 预测建模, 机器学习, 降维, 统计方法, Scikit-learn （机器学习库）, 逻辑回归, 监督学习, 统计假设检验, 统计推理, 异常检测, 分类算法, 无监督学习, 应用机器学习, 机器学习算法, 数据预处理, 功能工程
状态：免费试用多位教师
您将获得的技能: 模型评估, 迁移学习, 机器学习, 预测建模, NumPy, Scikit-learn （机器学习库）, 监督学习, 强化学习, 分类算法, 人工智能, Jupyter, 决策树学习, 无监督学习, 张力流, 随机森林算法, 数据伦理, 深度学习, 数据预处理, 应用机器学习, 功能工程
状态：新状态：免费试用University of Colorado Boulder
您将获得的技能: Statistical Modeling, Data Preprocessing
状态：免费试用您将获得的技能: 回归分析, 模型评估, Scikit-learn （机器学习库）, 预测建模, 降维, 机器学习, 逻辑回归, 监督学习, Python 程序设计, 分类算法, 无监督学习, 功能工程, 决策树学习, 应用机器学习
状态：免费试用Google
您将获得的技能: Generative AI, AI Enablement, Artificial Intelligence and Machine Learning (AI/ML), AI Workflows, LLM Application, Machine Learning, Natural Language Processing, Innovation, Critical Thinking
是什么让您今天来到 Coursera？
状态：预览IBM
您将获得的技能: 回归分析, 模型评估, 预测建模, 机器学习, 强化学习, 监督学习, 人工智能, 分类算法, 无监督学习, 数据科学, 深度学习, 应用机器学习
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, Regression Analysis, Data Manipulation, Statistical Modeling
状态：免费Amazon Web Services
您将获得的技能: Strategic Leadership, Strategic Decision-Making, Business Transformation, Business Strategy, Data-Driven Decision-Making, AI Enablement, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Decision Making, Technology Roadmaps
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 Intelligence, Artificial Neural Networks, 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：预览Northeastern University
您将获得的技能: Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), AI Enablement, Machine Learning, Governance, Model Evaluation, Risk Mitigation, Algorithms, Data Preprocessing, Business Ethics, Data Governance, Data Collection, Regulatory Requirements, Business, Business Strategy, Business Planning
是什么让您今天来到 Coursera？
与 introduction to machine learning 相关的搜索
总之，以下是 10 最受欢迎的 introduction to machine learning 课程
- 机器学习概论: Duke University
- IBM 机器学习入门: IBM
- 机器学习: DeepLearning.AI
- Introduction to Machine Learning: Supervised Learning: University of Colorado Boulder
- 使用 Python 进行机器学习: IBM
- Introduction to AI: Google
- 机器学习入门: IBM
- Foundations of Machine Learning: Coursera
- Introduction to Machine Learning: Art of the Possible: Amazon Web Services
- AI and Machine Learning Essentials with Python: University of Pennsylvania
