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: 负责任的人工智能, 生成式人工智能, 风险缓解, 业务逻辑, 自然语言处理, 机器人
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：免费试用多位教师
您将获得的技能: 分类算法, 人工智能, 张力流, 监督学习, 深度学习, 强化学习, 机器学习, 预测建模, 无监督学习, 数据伦理, Model Evaluation, 应用机器学习, 数据预处理, 决策树学习, NumPy, Scikit-learn （机器学习库）, 随机森林算法, Jupyter, 功能工程, Transfer Learning
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Google Cloud
您将获得的技能: Prompt Engineering, Google 云端平台, 生成式人工智能, 人工智能, 张力流, 监督学习, AI 工作流程, 模型部署, 大数据, 机器学习, MLOps（机器学习 Operator）, 云基础设施
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, 分类算法, 人工智能和机器学习（AI/ML）, 无代码开发, 人工智能, 监督学习, 机器学习, 模型部署, 微软 Azure, 无监督学习, 预测建模, MLOps（机器学习 Operator）, 应用机器学习
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：预览Duke University
您将获得的技能: PyTorch（机器学习库）, 计算机视觉, Python 程序设计, 无监督学习, 卷积神经网络, 人工神经网络, 监督学习, 递归神经网络 (RNN), Transfer Learning, 深度学习, 机器学习, 强化学习, 自然语言处理, 医学影像, 逻辑回归, 应用机器学习, 图像分析
状态：预览University of London
您将获得的技能: 分类算法, 数据分析, 人工智能, 机器学习, 数据收集, 数据预处理, 图像分析, Model Evaluation
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
- Microsoft AI & ML Engineering: Microsoft
- 机器学习: DeepLearning.AI
- AI and Machine Learning Essentials with Python: University of Pennsylvania
- 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
