个结果，搜索词为 "artificial intelligence and machine learning (ai/ml)"
状态：免费试用IBM
您将获得的技能: 生成式人工智能, 自然语言处理, 机器人, 风险缓解, 业务逻辑, 负责任的人工智能
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：免费试用多位教师
您将获得的技能: 预测建模, 数据预处理, 无监督学习, Scikit-learn （机器学习库）, NumPy, Transfer Learning, 人工智能, 机器学习, Jupyter, 强化学习, 数据伦理, Model Evaluation, 应用机器学习, 监督学习, 张力流, 深度学习, 随机森林算法, 决策树学习, 分类算法, 功能工程
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：免费试用Microsoft
您将获得的技能: Unsupervised Learning, Model Deployment, Generative AI, Large Language Modeling, Data Management, Natural Language Processing, MLOps (Machine Learning Operations), Supervised Learning, Microsoft Azure, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Generative Adversarial Networks (GANs), Infrastructure Architecture, LLM Application, Responsible AI, Generative AI Agents, Applied Machine Learning, Azure DevOps, Reinforcement Learning, Data Preprocessing
状态：免费试用Google Cloud
您将获得的技能: 生成式人工智能, 云基础设施, Prompt Engineering, 人工智能, 模型部署, 机器学习, Google 云端平台, 监督学习, 张力流, AI 工作流程, 大数据, MLOps（机器学习 Operator）
是什么让您今天来到 Coursera？
状态：免费试用您将获得的技能: Model Deployment, Data Management, Artificial Intelligence and Machine Learning (AI/ML), Infrastructure Architecture, MLOps (Machine Learning Operations), Cloud Deployment, Artificial Intelligence, Data Security, Application Frameworks, Machine Learning, Data Preprocessing, Data Pipelines, Scalability
状态：免费试用您将获得的技能: Feature Engineering, Decision Tree Learning, Applied Machine Learning, Supervised Learning, Advanced Analytics, Machine Learning, Machine Learning Algorithms, Unsupervised Learning, Analytics, Random Forest Algorithm, Data Analysis, Predictive Modeling, Model Evaluation, Bayesian Network, Python Programming, Statistical Modeling, Classification Algorithms
状态：免费试用Microsoft
您将获得的技能: 回归分析, 预测建模, 无监督学习, 人工智能和机器学习（AI/ML）, 无代码开发, 微软 Azure, 人工智能, 模型部署, 机器学习, 应用机器学习, 分类算法, 监督学习, MLOps（机器学习 Operator）
状态：新状态：预览您将获得的技能: Artificial Intelligence, Bayesian Network, Applied Machine Learning, Computational Logic, Machine Learning, Unsupervised Learning, Bayesian Statistics, Artificial Neural Networks, Reinforcement Learning, Markov Model, Algorithms, Probability & Statistics, Decision Making
状态：免费试用Edge Impulse
您将获得的技能: 嵌入式系统, 卷积神经网络, 数据预处理, 人工智能和机器学习（AI/ML）, 机器学习, 模型部署, 功能工程, 数据伦理, 人工神经网络, 深度学习, 嵌入式软件, Model Evaluation, 数据分析, 数字信号处理, 计算机编程, 应用机器学习
状态：预览University of London
您将获得的技能: 数据预处理, 人工智能, 机器学习, 数据收集, 分类算法, 数据分析, Model Evaluation, 图像分析
总之，以下是 10 最受欢迎的 artificial intelligence and machine learning (ai/ml) 课程
- 人工智能 (AI) 概论: IBM
- Fundamentals of Machine Learning and Artificial Intelligence: Amazon Web Services
- 机器学习: DeepLearning.AI
- AI and Machine Learning Essentials with Python: University of Pennsylvania
- Microsoft AI & ML Engineering: Microsoft
- 谷歌云上的人工智能和机器学习简介: Google Cloud
- Foundations of AI and Machine Learning: Microsoft
- The Nuts and Bolts of Machine Learning: Google
- 微软 Azure 机器学习: Microsoft
- AI & Machine Learning: Apply, Build & Solve: EDUCBA
