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。
University of Illinois Urbana-Champaign
您将获得的技能: Generative AI, Generative Model Architectures, Generative Adversarial Networks (GANs), Applied Machine Learning, Statistical Machine Learning, Deep Learning, Responsible AI, Machine Learning Methods, Artificial Intelligence, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, AI Enablement, Machine Learning Algorithms, AI literacy, Artificial Neural Networks, Convolutional Neural Networks, AI Product Strategy, Regression Analysis, Law, Regulation, and Compliance
★ 4.5 (67) · 初级 · 课程 · 1-4 周

Universidad Austral
您将获得的技能: Web Scraping, Natural Language Processing, Data Integration, Data Processing, MLOps (Machine Learning Operations), Data Preprocessing, Machine Learning Algorithms, Data Cleansing, Artificial Neural Networks, Machine Learning Methods, Data Manipulation, Tensorflow, Applied Machine Learning, Text Mining, Jupyter, Pandas (Python Package), Application Lifecycle Management, AI Orchestration, Systems Architecture, Python Programming
★ 4.2 (56) · 初级 · 专项课程 · 3-6 个月

您将获得的技能: Recurrent Neural Networks (RNNs), Exploratory Data Analysis, Deep Learning, Text Mining, Plot (Graphics), Artificial Neural Networks, Data Cleansing, Data Import/Export, Data Preprocessing, Natural Language Processing, Model Training, Applied Machine Learning, Python Programming, Machine Learning, Automation
★ 4.6 (265) · 初级 · 指导项目 · 不超过 2 小时

University of California, Davis
您将获得的技能: 大数据, 人工智能, 研究方法, 道德标准与行为, 算法, 案例研究, 机器学习, 自然语言处理, 研究, Algorithm, 数据伦理, 应用机器学习, 社会科学, 负责任的人工智能, 人工智能扫盲
★ 4.6 (744) · 初级 · 课程 · 1-4 周

您将获得的技能: Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Machine Learning Methods, Responsible AI, Artificial Neural Networks, Data Ethics, Machine Learning Algorithms, AWS SageMaker, Amazon Bedrock, Machine Learning, AI literacy, Model Training, Amazon Web Services, Convolutional Neural Networks, Supervised Learning, Model Deployment, Natural Language Processing, LLM Application, Unsupervised Learning
初级 · 课程 · 1-3 个月

您将获得的技能: Computer Vision, Artificial Intelligence, Image Analysis, Natural Language Processing, Generative AI, AI powered creativity, AI literacy, Large Language Modeling, Model Deployment, Amazon Bedrock, AI Workflows, AI Integrations, AI Security, Robotics, Application Deployment, Data Processing, Applied Machine Learning, Reinforcement Learning, Scalability
初级 · 课程 · 1-3 个月

Universidad de los Andes
您将获得的技能: Artificial Intelligence, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Image Analysis, Reinforcement Learning, Computer Vision, Agentic systems, Machine Learning Algorithms, Machine Learning, Semantic Web, AI literacy, Natural Language Processing, Embedded Systems, Responsible AI, Data Ethics, Supervised Learning, Applied Machine Learning, Embedded Software, Algorithms, Ethical Standards And Conduct
★ 4.6 (322) · 初级 · 课程 · 1-3 个月

您将获得的技能: Model Evaluation, Keras (Neural Network Library), Model Training, Tensorflow, Image Analysis, Artificial Neural Networks, Applied Machine Learning, Network Model, Deep Learning, Computer Vision, Machine Learning, Network Architecture
★ 4.6 (848) · 初级 · 指导项目 · 不超过 2 小时

您将获得的技能: Responsible AI, Generative AI, Generative Model Architectures, Microsoft Azure, Machine Learning Methods, Image Analysis, Computer Vision, OpenAI, Artificial Intelligence, Natural Language Processing, Applied Machine Learning, Machine Learning, Model Training, Data Ethics, Large Language Modeling, AI literacy, Deep Learning, Data Science, LLM Application
初级 · 课程 · 1-3 个月

University of Michigan
您将获得的技能: 人工智能, 大数据, 金融交易, 机器学习方法, 投资组合管理, 人工神经网络, 自动化, 资产管理, 金融市场, 金融服务, 金融科技, 机器学习, 投资, 财富管理, 财务, 财务分析, 市场数据, 人工智能和机器学习(AI/ML), 投资管理
★ 4.7 (422) · 初级 · 课程 · 1-4 周

您将获得的技能: Telecommunications, Internet Of Things, Data Pipelines, Natural Language Processing, Dataflow, Network Performance Management, Automation, Artificial Intelligence and Machine Learning (AI/ML), Wireless Networks, Digital Communications, Emerging Technologies, Generative AI Agents, Computer Networking, Generative AI, Network Architecture, Artificial Intelligence, Network Protocols, Responsible AI, System Design and Implementation, Communication
★ 4.4 (7) · 初级 · 课程 · 1-4 周

Duke University
您将获得的技能: 集装箱化, 大型语言建模, 开放源码技术, 拥抱的脸, 模型部署, 跨平台开发, 机器学习, 自然语言处理, 法学硕士申请, C(编程语言), 微调
★ 4.8 (26) · 初级 · 课程 · 1-4 周