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。
您将获得的技能: Data Preprocessing, Large Language Modeling, Data Import/Export, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Data Quality, Data Analysis, Natural Language Processing, Classification Algorithms
中级 · 课程 · 1-3 个月

您将获得的技能: Application Deployment, Customer Support, ChatGPT, Product Support, Customer Inquiries, Business Process Automation, Customer Service, E-Commerce, Order Management, User Requirements Documents, Automation, Greeting Customers, AI Enablement, User Flows, Natural Language Processing
中级 · 指导项目 · 不超过 2 小时

Coursera
您将获得的技能: 应用编程接口 (API), 自然语言处理, Python 程序设计, 分类算法, LLM 申请, 云 API, 生成式人工智能, 文本挖掘, Jupyter, Google 云端平台
中级 · 指导项目 · 不超过 2 小时

Coursera
您将获得的技能: Prompt Engineering, 数据库, 数据导入/导出, ChatGPT, 数据操作, 自然语言处理, Python 程序设计, 机器学习, Pandas(Python 软件包), OpenAI 应用程序接口, 软件工程, SQL
中级 · 指导项目 · 不超过 2 小时

Simplilearn
您将获得的技能: Supervised Learning, Data Modeling, Unsupervised Learning, Applied Machine Learning, Data Analysis, Recurrent Neural Networks (RNNs), Model Deployment, Reinforcement Learning, Artificial Intelligence, Classification Algorithms, Classification And Regression Tree (CART), Tensorflow, Machine Learning Algorithms, Keras (Neural Network Library), Artificial Neural Networks, Deep Learning, Machine Learning, Decision Tree Learning, Predictive Analytics, Regression Analysis
初级 · 专项课程 · 1-3 个月

O.P. Jindal Global University
您将获得的技能: Machine Learning Algorithms, Classification Algorithms, AI Enablement, Artificial Intelligence, Computational Logic, Machine Learning, Natural Language Processing, Business Strategy, Unsupervised Learning, Decision Tree Learning, Artificial Neural Networks, Strategic Decision-Making, Algorithms, Bayesian Network, Complex Problem Solving, Probability & Statistics
攻读学位
混合 · 课程 · 3-6 个月

Università di Napoli Federico II
您将获得的技能: PyTorch (Machine Learning Library), Convolutional Neural Networks, NumPy, Image Analysis, Pandas (Python Package), Matplotlib, Artificial Neural Networks, Deep Learning, Computer Vision, Transfer Learning, Keras (Neural Network Library), Jupyter, Data Manipulation, Machine Learning Methods, Scikit Learn (Machine Learning Library), Model Evaluation
中级 · 课程 · 1-3 个月

University of Colorado Boulder
您将获得的技能: Model Evaluation, Applied Machine Learning, Unsupervised Learning, Classification And Regression Tree (CART), Decision Tree Learning, Artificial Neural Networks, Classification Algorithms, Supervised Learning, Machine Learning Algorithms, Random Forest Algorithm, Predictive Modeling, Artificial Intelligence and Machine Learning (AI/ML), Dimensionality Reduction, Statistics
攻读学位
中级 · 课程 · 1-4 周

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
初级 · 指导项目 · 不超过 2 小时

您将获得的技能: Image Analysis, Convolutional Neural Networks, Model Evaluation, Applied Machine Learning, Deep Learning, Computer Vision, Artificial Neural Networks, Data Preprocessing, Data Processing, Regression Analysis
初级 · 课程 · 1-4 周

SkillsBooster Academy
您将获得的技能: Prompt Engineering, Marketing Strategies, Artificial Intelligence and Machine Learning (AI/ML), Strategic Marketing, Marketing Analytics, Artificial Intelligence, Generative AI, Agentic systems, Content Development and Management, Digital Marketing, Content Creation, Automation, Business Ethics, Customer experience improvement, Machine Learning, Natural Language Processing, Content Management, Creativity, Ethical Standards And Conduct, Interactive Data Visualization
初级 · 课程 · 1-3 个月

DeepLearning.AI
您将获得的技能: Retrieval-Augmented Generation, Vector Databases, Anomaly Detection, Embeddings, LLM Application, Generative AI, Semantic Web, Application Design, Natural Language Processing, Image Analysis, AI Personalization
初级 · 项目 · 不超过 2 小时