个结果，搜索词为 "federated learning"
状态：免费DeepLearning.AI
您将获得的技能: Federated Learning, Transfer Learning, AI Security, Large Language Modeling, PyTorch (Machine Learning Library), Information Privacy, Distributed Computing, Machine Learning
状态：免费试用University of Alberta
您将获得的技能: 机器学习, 模型评估, 监督学习, 抽样（统计）, 强化学习, 模拟, 马尔可夫模型, 深度学习, 机器学习算法, Algorithm, 人工神经网络, 功能工程, 性能测试, 概率分布, 伪代码, 人工智能和机器学习（AI/ML）, 线性代数, 性能调整
您将获得的技能: Model Deployment, Applied Machine Learning, Predictive Modeling, Microsoft Azure, No-Code Development, Machine Learning, Data Preprocessing, Cloud Deployment, Feature Engineering, Model Evaluation, Data Science, Data Analysis, Classification Algorithms
状态：免费试用DeepLearning.AI
您将获得的技能: PyTorch（机器学习库）, 机器学习, 大型语言模型, 模型评估, 计算机视觉, 监督学习, 人工智能, 自然语言处理, 拥抱的脸, 递归神经网络 (RNN), Keras（神经网络库）, 深度学习, 人工神经网络, 迁移学习, 卷积神经网络, 应用机器学习, 张力流, 嵌入, 人工智能和机器学习（AI/ML）, 图像分析
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：免费试用您将获得的技能: Responsible AI, AI Workflows, AI Enablement, Agentic systems, Automation, Business Process Automation, Real Time Data, MLOps (Machine Learning Operations), AI Personalization, IT Automation, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, No-Code Development, Cloud-Based Integration, Business Transformation, Cloud API, Python Programming, Data Analysis, Restful API, API Design
是什么让您今天来到 Coursera？
状态：免费试用状态：人工智能技能您将获得的技能: PyTorch (Machine Learning Library), Keras (Neural Network Library), Convolutional Neural Networks, Deep Learning, Unsupervised Learning, Model Evaluation, Recurrent Neural Networks (RNNs), Tensorflow, Vision Transformer (ViT), Generative Adversarial Networks (GANs), Transfer Learning, Image Analysis, Autoencoders, Applied Machine Learning, Artificial Neural Networks, Generative AI, Time Series Analysis and Forecasting, Reinforcement Learning, Artificial Intelligence and Machine Learning (AI/ML), Model Deployment
状态：新状态：免费试用Pearson
您将获得的技能: Large Language Modeling, Deep Learning, Prompt Engineering, Image Analysis, Model Deployment, Recurrent Neural Networks (RNNs), PyTorch (Machine Learning Library), Convolutional Neural Networks, Tensorflow, Vision Transformer (ViT), LLM Application, Transfer Learning, Computer Vision, Responsible AI, Natural Language Processing, Embeddings, Keras (Neural Network Library), Generative AI, Artificial Neural Networks, Multimodal Prompts
状态：免费试用您将获得的技能: Financial Market, Financial Trading, Regression Analysis, Google Cloud Platform, Model Evaluation, Financial Forecasting, Reinforcement Learning, Market Data, Recurrent Neural Networks (RNNs), Securities Trading, Time Series Analysis and Forecasting, Tensorflow, Market Trend, Machine Learning, Technical Analysis, Deep Learning, Artificial Neural Networks, Keras (Neural Network Library), Portfolio Management, Artificial Intelligence and Machine Learning (AI/ML)
状态：新状态：免费试用您将获得的技能: MLOps (Machine Learning Operations), Responsible AI, CI/CD, Model Deployment, Continuous Integration, Continuous Delivery, Continuous Deployment, Cloud Platforms, Model Evaluation, Automation, Data Governance, Data Pipelines, Performance Tuning, Continuous Monitoring, Performance Analysis
状态：新状态：预览Coursera
您将获得的技能: LangGraph, AI Orchestration, LangChain, LLM Application, Agentic Workflows, Generative AI Agents, MLOps (Machine Learning Operations), Context Management, Distributed Computing, Software Design Patterns
状态：新状态：预览您将获得的技能: Model Deployment, Databricks, MLOps (Machine Learning Operations), Apache Spark, Applied Machine Learning, PySpark, Data Preprocessing, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Scikit Learn (Machine Learning Library), Feature Engineering, Application Deployment, Model Evaluation, Real Time Data, Exploratory Data Analysis, Engineering
是什么让您今天来到 Coursera？
与 federated learning 相关的搜索
总之，以下是 10 最受欢迎的 federated learning 课程
- Intro to Federated Learning: DeepLearning.AI
- 强化学习: University of Alberta
- Machine Learning Pipelines with Azure ML Studio: Coursera
- 深度学习: DeepLearning.AI
- 机器学习: DeepLearning.AI
- Automating Decision Workflows with AI: Edureka
- IBM Deep Learning with PyTorch, Keras and Tensorflow: IBM
- Learning Deep Learning: Pearson
- Machine Learning for Trading: Google Cloud
- Automate, Validate, and Promote ML Models Safely: Coursera
