NLP 课程
NLP 课程可以帮助您学习文本处理、Sentiment Analysis、语言模型和聊天机器人开发。您可以掌握数据预处理、Feature Extraction 和 Model Evaluation 性能方面的技能。许多课程介绍了 NLTK 和 spaCy 等 Python 库以及 TensorFlow 和 PyTorch 等框架等工具，这些工具支持实施 NLP 技术和开发利用人工智能的应用程序。
热门 NLP 课程与认证
状态：预览Google Cloud
您将获得的技能: Tensorflow, Model Deployment, Recurrent Neural Networks (RNNs), Generative AI, Keras (Neural Network Library), Applied Machine Learning, Machine Learning, Natural Language Processing
状态：免费试用您将获得的技能: Google Cloud Platform, AI Enablement, Responsible AI, Artificial Intelligence, Data Quality, Analytics, Business Intelligence, Business Transformation, Machine Learning, Natural Language Processing, Computer Vision
您将获得的技能: Generative AI, Google Cloud Platform, Tensorflow, Artificial Intelligence, AI Workflows, Model Deployment, Big Data, Machine Learning, Prompt Engineering, Natural Language Processing
您将获得的技能: Text Mining, Natural Language Processing, Cloud API, Google Cloud Platform, Unstructured Data, Classification And Regression Tree (CART), Application Programming Interface (API), Data Analysis
状态：预览Google Cloud
您将获得的技能: Natural Language Processing, Large Language Modeling, Transfer Learning, Generative Model Architectures, Text Mining
状态：预览Google Cloud
您将获得的技能: Recurrent Neural Networks (RNNs), Machine Learning Methods, Artificial Neural Networks, Deep Learning, Natural Language Processing, Applied Machine Learning, Text Mining
状态：预览Google Cloud
您将获得的技能: Transfer Learning, Recurrent Neural Networks (RNNs), Machine Learning Methods, Artificial Neural Networks, Text Mining, Natural Language Processing
- 状态：预览
Google Cloud
您将获得的技能: Model Deployment, Tensorflow, Recurrent Neural Networks (RNNs), Keras (Neural Network Library), Natural Language Processing, Applied Machine Learning, Text Mining
状态：免费试用Google Cloud
您将获得的技能: Natural Language Processing, Large Language Modeling, Transfer Learning, Generative Model Architectures, Embeddings
状态：新状态：预览您将获得的技能: Plot (Graphics), Data Visualization Software, R Programming, Scatter Plots, Regression Analysis, Statistical Modeling, Predictive Modeling, Artificial Neural Networks, Data Science, Deep Learning, Model Evaluation, Descriptive Statistics, Predictive Analytics, Statistical Methods, Data Manipulation, Data Preprocessing, Performance Testing
状态：新状态：免费试用您将获得的技能: Large Language Modeling, Prompt Engineering, Image Analysis, Model Deployment, PyTorch (Machine Learning Library), Deep Learning, Vision Transformer (ViT), Tensorflow, Convolutional Neural Networks, LLM Application, Transfer Learning, Computer Vision, Responsible AI, Generative AI, Multimodal Prompts, Artificial Neural Networks, Artificial Intelligence, Performance Tuning
您将获得的技能: Amazon Web Services, Cloud Deployment, Application Deployment, Amazon S3, Serverless Computing, Artificial Intelligence, Amazon CloudWatch, Amazon DynamoDB, AWS Identity and Access Management (IAM), Natural Language Processing, Integration Testing, Cloud Services, Software Testing
与 nlp 相关的搜索
总之，以下是 10 最受欢迎的 nlp 课程
- Encoder-Decoder Architecture - Italiano: Google Cloud
- Innovating with Google Cloud Artificial Intelligence - Português Brasileiro: Google Cloud
- Introduction to AI and Machine Learning on GC - 繁體中文: Google Cloud
- Classify Text into Categories with the Natural Language API: Google Cloud
- Transformer Models and BERT Model - 한국어: Google Cloud
- Attention Mechanism - 繁體中文: Google Cloud
- Attention Mechanism - Español: Google Cloud
- Encoder-Decoder Architecture - Español: Google Cloud
- Dönüştürücü Modelleri ve BERT Modeli: Google Cloud
- Deep Learning with R: Build & Predict Neural Networks: EDUCBA
