应用机器学习课程
应用机器学习课程可以帮助您学习数据预处理、模型选择、Feature Engineering 和 Evaluation 指标。您可以掌握在实际环境中实施算法、优化性能和解释结果的技能。许多课程介绍 Python、TensorFlow 和 Scikit-learn 等工具，这些工具支持开发机器学习模型和应用 AI 技术解决实际问题。
热门应用机器学习课程和认证
状态：预览University of London
您将获得的技能: 语法, 英语, 扫盲, 语言学习, 以学生为中心的学习, 词汇
状态：新状态：预览您将获得的技能: AI Orchestration, AI Workflows, Agentic Workflows, Agentic systems, Collaborative Software, System Design and Implementation, Interoperability, Coordination, Communication Systems, Network Protocols, Workflow Management, Case Studies, Scalability
状态：免费试用您将获得的技能: Natural Language Processing, Recurrent Neural Networks (RNNs), Embeddings, Transfer Learning, Data Pipelines, Data Preprocessing, Artificial Neural Networks, Unstructured Data, Machine Learning Methods, Machine Learning
状态：预览University of Arizona
您将获得的技能: 古代历史, 物理科学, 全球定位系统, 研究, 电磁学, 科学方法, 化学, 工程学, 模拟, 科学可视化, 生物学, 物理学
状态：免费试用您将获得的技能: Debugging, Python Programming, Cybersecurity, Scripting, Programming Principles, IT Automation, Algorithms, Automation, Computer Programming, File Management, Data Structures
状态：预览Google Cloud
您将获得的技能: Generative AI, Generative Model Architectures, Prompt Engineering Tools, Deep Learning, Machine Learning
状态：新状态：免费试用您将获得的技能: Azure Synapse Analytics, Microsoft Azure, Databricks, Big Data, Distributed Computing, Public Cloud, Cloud Computing, Data Lakes, Cloud Computing Architecture, Data Processing, Scalability, Data Storage Technologies, Analytics, Real Time Data
状态：新状态：免费试用您将获得的技能: Bootstrap (Front-End Framework), Web Applications, Web Development Tools, Microsoft Azure, Authentications, Authorization (Computing)
状态：免费试用您将获得的技能: Recurrent Neural Networks (RNNs), PyTorch (Machine Learning Library), Text Mining, Artificial Neural Networks, Natural Language Processing, Classification Algorithms, Deep Learning, Applied Machine Learning, Network Architecture, Machine Learning
状态：预览Edureka
您将获得的技能: Data Transformation, Machine Learning Methods
状态：免费试用您将获得的技能: Large Language Modeling, Natural Language Processing, LLM Application, Generative AI Agents, Prompt Engineering, Test Case, Agentic systems, User Interface (UI), Artificial Intelligence and Machine Learning (AI/ML), Performance Testing, Debugging, Applied Machine Learning, Artificial Intelligence, Machine Learning Algorithms, Classification Algorithms, Decision Support Systems, Model Evaluation, Performance Tuning
状态：新状态：免费试用Amazon Web Services
您将获得的技能: Amazon Bedrock, LangChain, Generative AI, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Prompt Engineering, Transfer Learning, AI Workflows, Model Evaluation, Data Processing
总之，以下是 10 最受欢迎的 applied machine learning 课程
- EFL/ESL 阅读教学：基于任务的方法: University of London
- Agentic AI Protocols (MCP, A2A, ACP): Coursera
- NVIDIA: Fundamentals of NLP and Transformers : Whizlabs
- 天文学探索时间与空间: University of Arizona
- Automate Cybersecurity Tasks with Python: Google
- Introduction to Generative AI - Español: Google Cloud
- Fundamentals of Big Data with Microsoft Azure: Microsoft
- Redux, State Management, and Advanced React Concepts: Packt
- RNN Architecture and Sentiment Classification: Packt
- Advanced Microsoft Power BI: Edureka
