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, 负责任的人工智能, 自然语言处理, 业务逻辑, 风险缓解, 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：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DeepLearning.AI
您将获得的技能: 描述性统计, 概率与统计, 统计分析, A/B 测试, 概率分布, 贝叶斯统计, 微积分, 数值分析, 机器学习, 抽样（统计）, 应用数学, Machine Learning 方法, NumPy, 降维, 统计假设检验, 概率, 统计推理, 数据预处理, 机器学习算法, 线性代数
是什么让您今天来到 Coursera？
状态：免费试用Google Cloud
您将获得的技能: 生成式人工智能, AI 工作流程, 云基础设施, Google 云端平台, 机器学习, 监督学习, Prompt Engineering, 人工智能, MLOps（机器学习 Operator）, 张力流, 大数据, 模型部署
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Microsoft
您将获得的技能: 回归分析, 机器学习, 预测建模, 监督学习, MLOps（机器学习 Operator）, 人工智能, 分类算法, 无监督学习, 无代码开发, 人工智能和机器学习（AI/ML）, 模型部署, 微软 Azure, 应用机器学习
状态：预览O.P. Jindal Global University
您将获得的技能: Model Evaluation, Supervised Learning, Scikit Learn (Machine Learning Library), Tensorflow, Applied Machine Learning, Artificial Neural Networks, Python Programming, NumPy, Matplotlib, Deep Learning, Image Analysis, Machine Learning, Embeddings, Predictive Modeling, Pandas (Python Package), Convolutional Neural Networks, Natural Language Processing, Regression Analysis
状态：免费试用您将获得的技能: Unsupervised Learning, Generative AI, Large Language Modeling, Supervised Learning, Deep Learning, LLM Application, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Reinforcement Learning, Predictive Modeling, Machine Learning Algorithms, Artificial Neural Networks, Feature Engineering, Model Evaluation, Convolutional Neural Networks, Data Preprocessing, Dimensionality Reduction
状态：预览University of London
您将获得的技能: 机器学习, 模型评估, 人工智能, 分类算法, 数据收集, 数据预处理, 数据分析, 图像分析
是什么让您今天来到 Coursera？
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
- 机器学习和数据科学数学: DeepLearning.AI
- 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
- 微软 Azure 机器学习: Microsoft
- Machine Learning: O.P. Jindal Global University
