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, 商业智能, 内容创作, 自然语言处理, 风险缓解
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, Artificial Intelligence, Amazon Web Services, Applied Machine Learning, Machine Learning
状态：免费试用多位教师
您将获得的技能: 机器学习, Python 程序设计, 深度学习, 预测建模, 负责任的人工智能, 人工智能和机器学习（AI/ML）, 数据伦理, NumPy, 应用机器学习, 强化学习, 随机森林算法, 人工智能, 决策树学习, Jupyter, 监督学习, 分类与回归树 (CART), 功能工程, 无监督学习, 张力流, Scikit-learn （机器学习库）
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, PyTorch (Machine Learning Library), Statistical Methods, Probability, Probability & Statistics, Sampling (Statistics), Deep Learning, Probability Distribution, Python Programming, Supervised Learning, Statistics, Machine Learning Methods, Machine Learning, Regression Analysis, Data Processing, Agentic systems, Data Science, Artificial Intelligence, Artificial Neural Networks, Algorithms
状态：免费试用Microsoft
您将获得的技能: Unsupervised Learning, 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), Infrastructure Architecture, LLM Application, Responsible AI, Generative AI Agents, Applied Machine Learning, Reinforcement Learning, Data Ethics, Prompt Engineering, Data Processing, Application Deployment
状态：免费试用Google Cloud
您将获得的技能: 机器学习, 生成式人工智能, Google 云端平台, Prompt Engineering, 人工智能和机器学习（AI/ML）, 生成式 AI 代理, AI 产品战略, 应用机器学习, 大数据, OpenAI, 云基础设施, MLOps（机器学习 Operator）, 张力流
是什么让您今天来到 Coursera？
状态：免费试用您将获得的技能: Data Management, Artificial Intelligence and Machine Learning (AI/ML), Infrastructure Architecture, MLOps (Machine Learning Operations), Application Deployment, Data Processing, Data Cleansing, Artificial Intelligence, Data Security, Application Frameworks, PyTorch (Machine Learning Library), Machine Learning, Tensorflow, Applied Machine Learning, Data Pipelines, Scalability
状态：免费试用DeepLearning.AI
您将获得的技能: 描述性统计, 机器学习, A/B 测试, 贝叶斯统计, 统计分析, 线性代数, 概率分布, 微积分, 统计推理, 数据转换, 数学建模, 概率与统计, 统计假设检验, NumPy, 概率, 应用数学, 降维, 抽样（统计）, Machine Learning 方法, 数值分析
状态：免费试用Illinois Tech
您将获得的技能: 机器学习, 克劳德人类学, 生成式人工智能, 深度学习, 人工智能, 商业智能, 新兴技术, 负责任的人工智能, 数据伦理, 人工智能和机器学习（AI/ML）, 人机界面, 技术战略, 商业道德, OpenAI, 应用机器学习, 监督学习
状态：新状态：预览O.P. Jindal Global University
您将获得的技能: Supervised Learning, Tensorflow, Image Analysis, Artificial Neural Networks, Scikit Learn (Machine Learning Library), Python Programming, Machine Learning, Deep Learning, Unstructured Data, NumPy, Matplotlib, Natural Language Processing, Text Mining, Pandas (Python Package), Regression Analysis, Performance Tuning
状态：预览University of London
您将获得的技能: 机器学习, 机器学习算法, 数据收集, 数据处理, 人工智能, 数据分析, 软件测试, 计算机视觉
状态：预览Edge Impulse
您将获得的技能: 机器学习, 计算机编程, 数据伦理, 深度学习, 数据分析, 数据处理, 人工神经网络, 人工智能和机器学习（AI/ML）, 功能工程, 嵌入式系统, 应用机器学习
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
- 机器学习和数据科学数学: DeepLearning.AI
- 人工智能: Illinois Tech
- Machine Learning: O.P. Jindal Global University
