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：新状态：免费试用您将获得的技能: Convolutional Neural Networks, Tensorflow, Deep Learning, Transfer Learning, Artificial Neural Networks, Image Analysis, Computer Vision, Applied Machine Learning, Classification Algorithms, Model Deployment, Data Preprocessing, Network Architecture, Model Evaluation
您将获得的技能: Generative AI, Google Cloud Platform, Cloud Infrastructure, MLOps (Machine Learning Operations), Big Data, Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, AI Workflows, Machine Learning, Model Deployment, Model Evaluation, Natural Language Processing
Google Cloud
您将获得的技能: Keras (Neural Network Library), Tensorflow, Model Deployment, Recurrent Neural Networks (RNNs), Autoencoders, Applied Machine Learning, Natural Language Processing, Embeddings
状态：新状态：免费试用您将获得的技能: Dimensionality Reduction, R Programming, Time Series Analysis and Forecasting, Applied Machine Learning, Unsupervised Learning, Predictive Modeling, Machine Learning, Text Mining, Classification Algorithms, Artificial Neural Networks, Data Mining, Feature Engineering, Data Preprocessing, Model Evaluation, Exploratory Data Analysis
Google Cloud
您将获得的技能: Retrieval-Augmented Generation, Large Language Modeling, Embeddings, Vector Databases, Semantic Web, Generative AI, Artificial Intelligence, Google Cloud Platform, Natural Language Processing
您将获得的技能: Gemini, Cloud Applications, Cloud Development, Google Cloud Platform, Application Development, Computer Programming Tools, Natural Language Processing
状态：新状态：预览Northeastern University
您将获得的技能: PyTorch (Machine Learning Library), Unsupervised Learning, Reinforcement Learning, Supervised Learning, Dimensionality Reduction, Statistical Machine Learning, Machine Learning, Machine Learning Software, Convolutional Neural Networks, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Transfer Learning, Decision Tree Learning, Classification Algorithms, Random Forest Algorithm, Autoencoders, Predictive Modeling, Feature Engineering
状态：新状态：预览您将获得的技能: SAS (Software), Model Deployment, Model Evaluation, Predictive Analytics, Regression Analysis, Business Analytics, Data Preprocessing, Machine Learning Methods, Data Mining, Feature Engineering, Statistical Analysis, Decision Tree Learning, Data Transformation, Artificial Neural Networks
状态：新状态：预览Microsoft
您将获得的技能: Generative AI, Artificial Intelligence, Productivity, AI Enablement, AI Personalization, Machine Learning, Ethical Standards And Conduct, Natural Language Processing
您将获得的技能: Google Cloud Platform, Model Deployment, Unstructured Data, MLOps (Machine Learning Operations), Big Data, Data Pipelines, Cloud Deployment, Jupyter, Machine Learning, Artificial Intelligence, Natural Language Processing
Google Cloud
您将获得的技能: Gemini, Google Cloud Platform, Application Development, AI Enablement, Software Development Tools, Code Review, Natural Language Processing
状态：预览Google Cloud
您将获得的技能: Retrieval-Augmented Generation, Embeddings, Vector Databases, Semantic Web, Generative AI, Artificial Intelligence, Natural Language Processing, Google Cloud Platform, Algorithms
总之，以下是 10 最受欢迎的 nlp 课程
- Deep Learning with TensorFlow: Build Neural Networks: EDUCBA
- Introduction to AI and Machine Learning on GC - 한국어: Google Cloud
- Encoder-Decoder Architecture - Deutsch: Google Cloud
- Advanced Machine Learning with R: Apply & Predict: EDUCBA
- Vektorsuche und Einbettungen: Google Cloud
- Gemini for Application Developers - Bahasa Indonesia: Google Cloud
- Statistical Learning for Engineering Part 2: Northeastern University
- Predictive Analytics with SAS: Build & Deploy Models: EDUCBA
- Microsoft Ruta ExperiencIA: Microsoft
- Smart Analytics, Machine Learning, and AI on GCP - Italiano: Google Cloud
