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 Maryland, College Park
您将获得的技能: Innovation, AI Enablement, Scalability, Procurement, Artificial Intelligence, Automation, Initiative and Leadership, Strategic Sourcing, Natural Language Processing, Business Transformation, Organizational Change, Digital Transformation, Artificial Intelligence and Machine Learning (AI/ML), Organizational Effectiveness, Performance Improvement, Emerging Technologies, Product Improvement, Operational Efficiency, Goal Setting, Product Requirements
初级 · 专项课程 · 3-6 个月
Stanford University
您将获得的技能: 概率与统计, 统计建模, 图论, 概率分布, 贝叶斯网络, 决策支持系统, 自然语言处理, 马尔可夫模型, 网络模型, 网络分析
高级设置 · 课程 · 1-3 个月

Dartmouth College
您将获得的技能: Supervised Learning, Bayesian Network, Logistic Regression, Artificial Neural Networks, Machine Learning Methods, Statistical Modeling, Predictive Modeling, Model Evaluation, Statistical Machine Learning, Probability & Statistics, Bayesian Statistics, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Machine Learning Algorithms, Statistical Methods, Artificial Intelligence, Regression Analysis, Classification Algorithms, Statistical Inference
攻读学位
中级 · 专项课程 · 3-6 个月

Coursera
您将获得的技能: Canva (Software), Prompt Engineering, Timelines, Email Automation, Microsoft Power Automate/Flow, Setting Appointments, Calendar Management, Automation, Microsoft 365, Generative AI, ChatGPT, Collaborative Software, Business Process Automation, Artificial Intelligence, Collaboration, Time Management, Productivity, Personal Development, Natural Language Processing, Communication
中级 · 专项课程 · 1-3 个月

University of Washington
您将获得的技能: 概率与统计, 机器学习, 逻辑回归, 分类算法, 自然语言处理, 预测建模, 模型评估, 监督学习, 大数据, 机器学习算法, 决策树学习, 数据预处理, 可扩展性, 应用机器学习, Algorithm, 文本挖掘
混合 · 课程 · 1-3 个月

Birla Institute of Technology & Science, Pilani
您将获得的技能: Theoretical Computer Science, Computational Logic, Mathematical Theory & Analysis, Algorithms, Computational Thinking, Programming Principles, Computer Science, Data Structures, Graph Theory, Natural Language Processing, Logical Reasoning, Formal Learning
中级 · 课程 · 1-3 个月

Hebrew University of Jerusalem
您将获得的技能: 心理学, 生物学, 人工神经网络, 计算逻辑, 数学建模, 计算机科学, 电生理学, 基本电气系统, 网络分析, 神经学, 模拟和模拟软件, 生理学, 细胞生物学
混合 · 课程 · 1-3 个月
DeepLearning.AI
您将获得的技能: 计算机视觉, 卷积神经网络, 生成式人工智能, 深度学习, 分类算法, 模型评估, 分布式计算, 迁移学习, 人工神经网络, 网络架构, 可视化(计算机制图), 自动编码器, 生成对抗网络 (GAN), Keras(神经网络库), 性能调整, 生成模型架构, 张力流, 图像分析
中级 · 专项课程 · 3-6 个月

DeepLearning.AI
您将获得的技能: PyTorch (Machine Learning Library), Model Deployment, Convolutional Neural Networks, Transfer Learning, Generative AI, Deep Learning, Image Analysis, MLOps (Machine Learning Operations), Data Pipelines, Embeddings, Artificial Neural Networks, Model Evaluation, Data Preprocessing, Software Visualization, Computer Vision, Natural Language Processing, Machine Learning
中级 · 专业证书 · 1-3 个月

Tecnológico de Monterrey
您将获得的技能: ChatGPT, Responsible AI, Prompt Engineering, Data Ethics, Artificial Intelligence, Productivity, Generative AI, LLM Application, Digital pedagogy, Natural Language Processing, Content Creation
初级 · 课程 · 1-4 周
Stanford University
您将获得的技能: 统计建模, 概率与统计, 图论, 概率分布, 机器学习, 贝叶斯网络, 决策支持系统, 自然语言处理, 马尔可夫模型, Machine Learning 方法, 网络模型, 统计方法, Algorithm, 统计推理, 抽样(统计), 应用机器学习, 机器学习算法, 网络分析, 计算思维
高级设置 · 专项课程 · 3-6 个月

您将获得的技能: Prompt Engineering, LangChain, LLM Application, Generative AI, AI Workflows, Application Development, Model Evaluation, Flask (Web Framework), Natural Language Processing, Software Development
中级 · 课程 · 1-4 周