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
Google Cloud
您将获得的技能: 卷积神经网络, 开发环境, 数据持久性, 人工神经网络, 深度学习, 机器学习, 计算机视觉, 模型评估, Keras（神经网络库）, 图像分析, 张力流
您将获得的技能: Model Deployment, Tensorflow, Model Evaluation, Data Preprocessing, Image Analysis, Artificial Neural Networks, Convolutional Neural Networks, Applied Machine Learning, Machine Learning Methods, Computer Vision, Deep Learning
您将获得的技能: Artificial Neural Networks, Data Visualization, Exploratory Data Analysis, Data Presentation, Applied Machine Learning, Classification Algorithms, Machine Learning Methods, Predictive Modeling, Deep Learning, Classification And Regression Tree (CART), Data Analysis, Predictive Analytics, Machine Learning Algorithms, Model Evaluation, Machine Learning, Feature Engineering, Python Programming
Google Cloud
您将获得的技能: Cloud API, Google Cloud Platform, Restful API, Application Programming Interface (API), Identity and Access Management, Natural Language Processing, Event Monitoring, Network 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, Embeddings
状态：预览DeepLearning.AI
您将获得的技能: Convolutional Neural Networks, Computer Vision, Keras (Neural Network Library), Image Analysis, Deep Learning, Transfer Learning, Artificial Neural Networks, Tensorflow, Dimensionality Reduction, Network Architecture, Data Preprocessing, Classification Algorithms
状态：免费试用Simplilearn
您将获得的技能: Generative Model Architectures, Retrieval-Augmented Generation, Generative AI, Generative Adversarial Networks (GANs), Autoencoders, Model Evaluation, Large Language Modeling, Real Time Data, Scalability, Responsible AI, Transfer Learning, Natural Language Processing
您将获得的技能: Large Language Modeling, Deep Learning, Data Preprocessing, Keras (Neural Network Library), Tensorflow, Python Programming, Artificial Intelligence and Machine Learning (AI/ML), Generative Model Architectures, Natural Language Processing
状态：免费试用您将获得的技能: Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Deep Learning, Artificial Neural Networks, Image Analysis, Keras (Neural Network Library), Applied Machine Learning, Tensorflow, PyTorch (Machine Learning Library), Natural Language Processing, Network Architecture, Model Evaluation, Performance Tuning
您将获得的技能: Full-Stack Web Development, Development Environment, Front-End Web Development, React.js, UI Components, Back-End Web Development, Web Development, Natural Language Processing, Application Programming Interface (API)
状态：预览您将获得的技能: Natural Language Processing, Large Language Modeling, Transfer Learning, Vision Transformer (ViT), Generative Model Architectures
您将获得的技能: Deep Learning, Tensorflow, Amazon Web Services, Artificial Intelligence and Machine Learning (AI/ML), Keras (Neural Network Library), Artificial Intelligence, Recurrent Neural Networks (RNNs), Machine Learning Methods, Natural Language Processing, Python Programming, Serverless Computing, Machine Learning, Data Processing
总之，以下是 10 最受欢迎的 nlp 课程
- 使用 TensorFlow 的计算机视觉入门: Google Cloud
- TensorFlow for Beginners: Basic Binary Image Classification: Coursera
- Diabetes Disease Detection with XG-Boost and Neural Networks: Coursera
- Using Google Cloud Services with Apigee X: Google Cloud
- Transformer Models and BERT Model - Italiano: Google Cloud
- Réseaux neuronaux convolutifs: DeepLearning.AI
- Foundations of Generative AI Models: Simplilearn
- Advanced Chatbots with Deep Learning and Python: Packt
- Advanced CNNs, Transfer Learning, and Recurrent Networks: Packt
- ChatGPT Voice-Powered Chatbot Build with React and FastAPI: Packt
