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：免费试用Google Cloud
您将获得的技能: 模型评估, Google 云端平台, AI 工作流程, 嵌入, 自然语言处理, 深度学习, 迁移学习, 功能工程, 递归神经网络 (RNN), 张力流, 人工神经网络
状态：免费试用您将获得的技能: Model Evaluation, Tensorflow, Supervised Learning, Artificial Neural Networks, Regression Analysis, Machine Learning Methods, Applied Machine Learning, Machine Learning Algorithms, Deep Learning, Image Analysis, Machine Learning, Random Forest Algorithm, Artificial Intelligence and Machine Learning (AI/ML), Decision Tree Learning, Natural Language Processing, Scikit Learn (Machine Learning Library), Convolutional Neural Networks, Computer Vision, Data Science, Python Programming
状态：免费试用Google Cloud
您将获得的技能: Model Deployment, Convolutional Neural Networks, Google Cloud Platform, Natural Language Processing, Tensorflow, MLOps (Machine Learning Operations), Reinforcement Learning, Transfer Learning, Computer Vision, Systems Design, Machine Learning Methods, Applied Machine Learning, Image Analysis, AI Personalization, Cloud Deployment, Recurrent Neural Networks (RNNs), Hybrid Cloud Computing, Systems Architecture, Performance Tuning, Embeddings
状态：新您将获得的技能: LLM Application, MLOps (Machine Learning Operations), Large Language Modeling, Data Processing, Model Deployment, AI Workflows, Prompt Engineering, Responsible AI, Generative AI, Scalability, Artificial Intelligence and Machine Learning (AI/ML), Model Evaluation, Data Transformation, Continuous Monitoring, Feature Engineering, Natural Language Processing, Artificial Intelligence, Data Collection
状态：免费试用University of Michigan
您将获得的技能: Unsupervised Learning, Data Mining, Social Network Analysis, ChatGPT, Embeddings, Machine Learning Methods, Data Science, Supervised Learning, Generative AI, Machine Learning, Anomaly Detection, Data Preprocessing, Data Analysis, Recurrent Neural Networks (RNNs), Data Manipulation, Python Programming, Exploratory Data Analysis, Machine Learning Algorithms, Jupyter, Classification Algorithms
Google Cloud
您将获得的技能: 大型语言模型, 自然语言处理, 嵌入, 生成模型架构, 迁移学习
是什么让您今天来到 Coursera？
您将获得的技能: Embeddings, PyTorch (Machine Learning Library), Artificial Neural Networks, Image Analysis, Deep Learning, Applied Machine Learning, Convolutional Neural Networks, Computer Vision
状态：免费试用IBM
您将获得的技能: 机器学习, 数据分析, 监督学习, Scikit-learn （机器学习库）, 回归分析, 无监督学习, 应用机器学习, 技术交流, Python 程序设计, 人工神经网络, 探索性数据分析, Keras（神经网络库）, 数据展示
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：新状态：预览Coursera
您将获得的技能: Model Context Protocol, AI Security, Scalability, Software Architecture, Servers, Interoperability, System Design and Implementation, API Design, Enterprise Security, Real Time Data, Performance Tuning
状态：免费试用University of Toronto
您将获得的技能: 卷积神经网络, 机器控制, 自动化, 计算机视觉, Networking 路由器, 深度学习, 模拟, 估算, 硬件架构, 机器人, 控制系统, 嵌入式软件, 安全保障, 全球定位系统, 交通流优化, 图像分析, 系统架构, 软件架构, Machine Learning 方法, 人工神经网络
状态：免费试用您将获得的技能: Feature Engineering, Model Deployment, Data Visualization, Data Ethics, Exploratory Data Analysis, Model Evaluation, Unsupervised Learning, Data Presentation, Tensorflow, Dimensionality Reduction, MLOps (Machine Learning Operations), Probability Distribution, Apache Spark, Statistical Hypothesis Testing, Supervised Learning, Data Pipelines, Design Thinking, Data Science, Machine Learning, Python Programming
与 nlp 相关的搜索
总之，以下是 10 最受欢迎的 nlp 课程
- 谷歌云上的自然语言处理: Google Cloud
- AI Workflow: Machine Learning, Visual Recognition and NLP: IBM
- Advanced Machine Learning on Google Cloud: Google Cloud
- Essential Guide to LLMOps: Packt
- More Applied Data Science with Python: University of Michigan
- 变压器模型和 BERT 模型: Google Cloud
- Deep Learning with PyTorch : Siamese Network: Coursera
- 机器学习顶点课程: IBM
- Encoder-Decoder Architecture - Español: Google Cloud
- MCP - Model Content Protocol: Coursera
