个结果，搜索词为 "introduction to machine learning"
状态：预览Duke University
您将获得的技能: PyTorch（机器学习库）, 机器学习, 计算机视觉, 监督学习, 自然语言处理, Python 程序设计, 深度学习, 递归神经网络 (RNN), 人工神经网络, 卷积神经网络, 迁移学习, 医学影像, 强化学习, 逻辑回归, 应用机器学习, 无监督学习, 图像分析
状态：免费试用IBM
您将获得的技能: 概率与统计, 统计方法, 机器学习, Scikit-learn （机器学习库）, 数据访问, 模型评估, 数据分析, 监督学习, 降维, 回归分析, 机器学习算法, 统计推理, 数据质量, 分类算法, 无监督学习, 数据预处理, 应用机器学习, 功能工程, 数据清理, 探索性数据分析
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：新状态：免费试用University of Colorado Boulder
您将获得的技能: Scikit Learn (Machine Learning Library)
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), Machine Learning, Natural Language Processing, Innovation, Critical Thinking
状态：预览IBM
您将获得的技能: 预测建模, 机器学习, 模型评估, 人工智能, 监督学习, 强化学习, 回归分析, 深度学习, 分类算法, 无监督学习, 数据预处理, IBM 云
是什么让您今天来到 Coursera？
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：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
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 Neural Networks, Artificial Intelligence, Algorithms, Python Programming
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
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
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
- Introduction to AI: Google
- 机器学习入门: IBM
- 使用 Python 进行机器学习: 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
