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：免费试用您将获得的技能: Pandas (Python Package), Matplotlib, NumPy, Data Visualization, Machine Learning Algorithms, Natural Language Processing, Semantic Web, Data Manipulation, Linear Algebra, Seaborn, Deep Learning, Machine Learning, Python Programming, Text Mining, Data Science, Data Processing, Supervised Learning, Applied Machine Learning, Unstructured Data, Markov Model
University of Colorado Boulder
您将获得的技能: Natural Language Processing, Text Mining, Artificial Intelligence and Machine Learning (AI/ML), Statistical Modeling, Data Processing, Probability & Statistics, Unstructured Data, Deep Learning, Machine Learning, Supervised Learning, Algorithms, Regression Analysis
状态：新状态：免费试用您将获得的技能: Artificial Intelligence, Scikit Learn (Machine Learning Library)
状态：新您将获得的技能: Large Language Modeling, MLOps (Machine Learning Operations), Prompt Engineering, AWS SageMaker, Extract, Transform, Load, Data Pipelines, CI/CD, Supervised Learning, Application Deployment, Scalability, Performance Tuning
状态：免费试用您将获得的技能: Dimensionality Reduction, Text Mining, Applied Machine Learning, Statistical Machine Learning, Supervised Learning, Unsupervised Learning, Python Programming, Machine Learning, Predictive Modeling, Regression Analysis, Algorithms
状态：预览Northeastern University
您将获得的技能: Natural Language Processing, Data Ethics, Responsible AI, Deep Learning, Artificial Neural Networks, Machine Learning, Artificial Intelligence, Machine Learning Algorithms, Scalability
状态：新状态：预览Northeastern University
您将获得的技能: Natural Language Processing, Artificial Intelligence, Artificial Neural Networks, Deep Learning, Machine Learning, Unstructured Data, Supervised Learning, Linear Algebra, Probability Distribution
状态：免费试用您将获得的技能: Natural Language Processing, Text Mining, Artificial Intelligence and Machine Learning (AI/ML), Data Pipelines, Artificial Neural Networks, Unstructured Data, Deep Learning, Data Processing, Machine Learning Methods, Machine Learning
Coursera
您将获得的技能: Exploratory Data Analysis, Data Cleansing, Text Mining, Scikit Learn (Machine Learning Library), Probability & Statistics, Pandas (Python Package), Natural Language Processing, Data Processing, Statistical Modeling, Data Transformation, Data Analysis, Python Programming, Applied Machine Learning, Supervised Learning, Machine Learning
状态：免费试用您将获得的技能: Natural Language Processing, Text Mining, Data Processing, Data Manipulation, Unstructured Data, Markov Model, Python Programming, Machine Learning Methods, Algorithms, Probability & Statistics
状态：免费试用您将获得的技能: Prompt Engineering, Large Language Modeling, Generative AI, PyTorch (Machine Learning Library), LLM Application, Natural Language Processing, Artificial Intelligence and Machine Learning (AI/ML), Data Pipelines, Text Mining, Data Ethics, Artificial Intelligence, Deep Learning, Performance Tuning, Applied Machine Learning, Data Processing, Artificial Neural Networks, Reinforcement Learning, Document Management, Database Management Systems, Data Storage Technologies
状态：免费试用您将获得的技能: Text Mining, Data Processing, Applied Machine Learning, Pandas (Python Package), Data Transformation, NumPy, Unstructured Data, Deep Learning, Feature Engineering, Scikit Learn (Machine Learning Library), Development Environment, Machine Learning
与 nlp 相关的搜索
总之，以下是 10 最受欢迎的 nlp 课程
- Natural Language Processing with Real-World Projects: Packt
- Fundamentals of Natural Language Processing: University of Colorado Boulder
- Natural Language Processing Essentials: Edureka
- LLM Engineer’s Handbook: Packt
- NLP – Machine Learning Models in Python: Packt
- NLP in Engineering: Concepts & Real-World Applications: Northeastern University
- Applied Natural Language Processing in Engineering Part 1: Northeastern University
- NVIDIA: Fundamentals of NLP and Transformers : Whizlabs
- NLP: Twitter Sentiment Analysis: Coursera
- Introduction to NLP and Syntactic Processing: Packt
