筛选依据
主题必需的
语言必需的
在整个课程（说明和评估）中使用的语言。
了解产品必需的
级别必需的
课程长度必需的
技能必需的
字幕必需的
教师必需的
找到最适合您目标的 NLP 课程
状态：新状态：预览Northeastern University
您将获得的技能: PyTorch (Machine Learning Library), Applied Machine Learning, Unsupervised Learning, Reinforcement Learning, Supervised Learning, Machine Learning Algorithms, Dimensionality Reduction, Statistical Machine Learning, Machine Learning, Machine Learning Software, Artificial Neural Networks, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Classification And Regression Tree (CART), Random Forest Algorithm, Generative Model Architectures
Google Cloud
您将获得的技能: Large Language Modeling, Semantic Web, Generative AI, Artificial Intelligence, Google Cloud Platform, Applied Machine Learning, Natural Language Processing, Algorithms
状态：预览Google Cloud
您将获得的技能: Machine Learning Methods, Applied Machine Learning, Artificial Neural Networks, Text Mining, Natural Language Processing
状态：新状态：预览Northeastern University
您将获得的技能: Text Mining, Time Series Analysis and Forecasting, Data Mining, Artificial Neural Networks, Trend Analysis, Unsupervised Learning, Regression Analysis, Unstructured Data, Forecasting, Statistical Analysis, Deep Learning, Data Analysis, Big Data, Predictive Modeling, Supervised Learning, Machine Learning, Algorithms
状态：新状态：预览Microsoft
您将获得的技能: Generative AI, Artificial Intelligence, AI Product Strategy, Responsible AI, Machine Learning, Natural Language Processing
您将获得的技能: Cloud Applications, Application Development, Google Cloud Platform, API Gateway, Application Programming Interface (API), Cloud API, Cloud-Based Integration, Serverless Computing, Authentications, OAuth, Identity and Access Management, Secure Coding, Microservices, Node.JS, Restful API, Event-Driven Programming, Authorization (Computing), Natural Language Processing
Google Cloud
您将获得的技能: MLOps (Machine Learning Operations), Workflow Management, Data Governance, Data Management, Google Cloud Platform, Data Processing, Applied Machine Learning, Tensorflow, Data Pipelines, Machine Learning, Feature Engineering, Data Transformation, Artificial Neural Networks
您将获得的技能: Generative AI, Google Cloud Platform, Cloud Infrastructure, MLOps (Machine Learning Operations), Big Data, Tensorflow, Artificial Intelligence, Machine Learning, Natural Language Processing
状态：新Google Cloud
您将获得的技能: Generative AI, LLM Application, Large Language Modeling, Google Cloud Platform, Prompt Engineering, Application Development, Natural Language Processing, Application Deployment, Prototyping
您将获得的技能: Tensorflow, Keras (Neural Network Library), Google Cloud Platform, MLOps (Machine Learning Operations), Deep Learning, Data Transformation, Data Processing, Data Pipelines, Artificial Neural Networks, Machine Learning, Scalability, Application Programming Interface (API)
状态：新Google Cloud
您将获得的技能: Google Gemini, Generative AI, Large Language Modeling, Prompt Engineering, LLM Application, Responsible AI, Google Cloud Platform, Data Pipelines, Big Data, Natural Language Processing, Machine Learning Algorithms
状态：免费试用Google Cloud
您将获得的技能: Semantic Web, Generative AI, LLM Application, Prompt Engineering Tools, Artificial Intelligence, Google Cloud Platform, Natural Language Processing, Web Analytics and SEO, Algorithms
总之，以下是 10 最受欢迎的 nlp 课程
- Statistical Learning for Engineering Part 2: Northeastern University
- Vektorsuche und Einbettungen: Google Cloud
- Attention Mechanism - 日本語版: Google Cloud
- Machine Learning and Data Analytics Part 2: Northeastern University
- Microsoft Ruta ExperiencIA: Microsoft
- Securing and Integrating Components of Your App - Español: Google Cloud
- Machine Learning in the Enterprise - 日本語版: Google Cloud
- Introduction to AI and Machine Learning on GC - 한국어: Google Cloud
- Membuat Aplikasi AI Generatif di Google Cloud: Google Cloud
- Build, Train and Deploy ML Models with Keras on Google Cloud - Italiano: Google Cloud
