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：新状态：免费试用您将获得的技能: AI Workflows, AI Orchestration, Agentic Workflows, Model Deployment, AI Security, Decision Making
状态：新您将获得的技能: GraphQL, API Design, Restful API, Application Programming Interface (API), Cloud API, ASP.NET, Authentications, Data Validation, .NET Framework, Authorization (Computing), C# (Programming Language), Serverless Computing, Software Documentation, Microsoft Azure, Software Architecture, Verification And Validation, Application Deployment, Debugging
状态：新您将获得的技能: Retrieval-Augmented Generation, Large Language Modeling, Hugging Face, MLOps (Machine Learning Operations), OpenAI, Prompt Engineering, Model Deployment, AWS SageMaker, Extract, Transform, Load, Embeddings, Data Pipelines, CI/CD, Vector Databases, Model Evaluation
状态：预览Google Cloud
您将获得的技能: Generative AI, Google Gemini, Artificial Intelligence, Machine Learning
状态：预览Copenhagen Business School
您将获得的技能: 数据收集, 道德标准与行为, 营销, 人类学习, 市场调查, 商业道德, 广告, 客户洞察, 品牌管理, 决策, 消费者行为, 心理学, 营销心理学
Northeastern University
您将获得的技能: Data Storytelling, Software Quality Assurance, Open Web Application Security Project (OWASP), Text Mining, Database Design, Agile Software Development, Software Development Life Cycle, Unsupervised Learning, Data Governance, Interactive Data Visualization, Software Architecture, Plotly, Cybersecurity, Classification Algorithms, PyTorch (Machine Learning Library), Statistical Hypothesis Testing, Java, Depreciation, Probability & Statistics, Cash Flows
状态：新状态：免费试用您将获得的技能: Investigation, NIST 800-53, Cyber Security Assessment, Personally Identifiable Information, Failure Analysis, Root Cause Analysis
Duke University
您将获得的技能: Retrieval-Augmented Generation, Vector Databases, Embeddings, OpenAI API, Data Import/Export, Pandas (Python Package), Generative AI, Application Programming Interface (API), Data Manipulation, Large Language Modeling, Python Programming, Machine Learning
状态：免费试用您将获得的技能: Time Series Analysis and Forecasting, Recurrent Neural Networks (RNNs), SAS (Software), Forecasting, Regression Analysis, Applied Machine Learning, Statistical Analysis, Advanced Analytics, Predictive Modeling, Statistical Modeling, Bayesian Statistics, Model Evaluation
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 California San Diego
您将获得的技能: 生物学, 数据结构, 编程原则, 计算思维, 生物信息学, Python 程序设计
状态：新状态：预览您将获得的技能: AI Orchestration, AI Workflows, LLM Application, Agentic systems, Tool Calling, LangChain, Artificial Intelligence, Prompt Engineering, Model Evaluation, Context Management, Scenario Testing, Performance Testing, Development Testing, Debugging
总之，以下是 10 最受欢迎的 applied machine learning 课程
- Building Multi-Agent Systems using LangGraph and Autogen: Edureka
- Programming APIs with C# and .NET: Packt
- LLM Engineer’s Handbook: Packt
- Introduction to Generative AI - Italiano: Google Cloud
- 消费者神经科学与神经营销导论: Copenhagen Business School
- Master of Science in Engineering Management: Northeastern University
- Analyze, Create, and Secure Data with Zero Trust: Coursera
- Introduction to Retrieval Augmented Generation (RAG): Duke University
- Modeling Time Series and Sequential Data: SAS
- NVIDIA: Fundamentals of NLP and Transformers : Whizlabs
