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浏览华生课程目录
状态：新状态：免费试用您将获得的技能: Generative AI, Supervised Learning, Generative Model Architectures, Unsupervised Learning, Large Language Modeling, Time Series Analysis and Forecasting, Exploratory Data Analysis, LLM Application, Applied Machine Learning, Data Collection, Machine Learning Algorithms, OpenAI, Feature Engineering, Data Ethics, Dimensionality Reduction, MLOps (Machine Learning Operations), Machine Learning, Multimodal Prompts, Data Processing, Network Architecture
Coursera Project Network
您将获得的技能: IBM Cloud, Self Service Technologies, Application Deployment, AI Personalization, Customer Inquiries, Customer Engagement, Cloud Computing, Customer Service, Natural Language Processing
状态：免费试用状态：人工智能技能IBM
您将获得的技能: 数据清理, 同行评审, 数据导入/导出, 专业网络, 交互式数据可视化, 数据整理, 探索性数据分析, 数据扫盲, 数据可视化软件, SQL, 数据分析, 无监督学习, 数据转换, 生成式人工智能, Plotly, Jupyter, 监督学习, 数据操作, 数据可视化, 仪表板
状态：新状态：预览您将获得的技能: Reinforcement Learning, Dimensionality Reduction, PyTorch (Machine Learning Library), Deep Learning, Generative AI, Pandas (Python Package), Scikit Learn (Machine Learning Library), Python Programming, Machine Learning, Artificial Neural Networks, Data Processing, Natural Language Processing, Feature Engineering, Predictive Modeling, Supervised Learning, Unsupervised Learning, Data Transformation, NumPy
状态：新您将获得的技能: Pandas (Python Package), Web Scraping, Python Programming, Jupyter, Image Analysis, Text Mining, Data Manipulation, Computer Vision, Data Analysis, Natural Language Processing, Data Visualization Software, Data Science, Applied Machine Learning, Unstructured Data
状态：预览您将获得的技能: Feature Engineering, Data Transformation, Data Processing, Data Cleansing, Applied Machine Learning, MLOps (Machine Learning Operations), Predictive Modeling, Exploratory Data Analysis, Automation, Machine Learning Methods, Machine Learning, Scikit Learn (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Data Science, IBM Cloud, Python Programming, Performance Tuning
是什么让您今天来到 Coursera？
状态：免费试用您将获得的技能: 机器学习算法, 分类与回归树 (CART), 预测建模, 回归分析, Python 程序设计, 降维, 统计分析, 应用机器学习, 功能工程, 无监督学习, 监督学习, 机器学习, Scikit-learn （机器学习库）
状态：免费试用IBM
您将获得的技能: 数据科学, AI 产品战略, 人工智能, 工作流程管理, 自助服务技术, ChatGPT, 无代码开发, 人工智能和机器学习（AI/ML）, 业务工作流程分析, LLM 申请, 提示模式, 深度学习, 应用程序部署, IBM 云, 行动导向, Prompt Engineering, 生成式人工智能, 负责任的人工智能, 自然语言处理, 机器学习
状态：免费试用您将获得的技能: 数据库, 代码审查, 集成开发环境, 数据操作, 数据处理, 单元测试, 数据转换, Python 程序设计, 网页抓取, SQL, 还原式 API, 应用编程接口 (API), 风格指南, 摘录
状态：免费试用您将获得的技能: 可扩展性, 数据处理, 数据转换, Kubernetes, 调试, Apache Spark, Docker (软件), 分布式计算, Apache Hadoop, PySpark, Apache Hive, IBM 云, 大数据, 性能调整
状态：新状态：免费试用您将获得的技能: Prompt Engineering, PyTorch (Machine Learning Library), Natural Language Processing, MLOps (Machine Learning Operations), Large Language Modeling, Computer Vision, Image Analysis, Generative AI, Generative Model Architectures, Application Deployment, Artificial Neural Networks, Text Mining, Deep Learning, Cloud Hosting, Semantic Web, Restful API
状态：免费试用您将获得的技能: 人工智能, 代码审查, Flask（网络框架）, 单元测试, Python 程序设计, 还原式 API, 服务器端, 开发环境, 网络应用, 编程原则, 应用程序部署, IBM 云
总之，以下是 10 最受欢迎的 watson 课程
- Machine Learning with Scikit-learn, PyTorch & Hugging Face: Coursera
- Building Smart Business Assistants with IBM Watson: Coursera Project Network
- IBM 数据科学: IBM
- Machine Learning with PyTorch and Scikit-Learn: Packt
- Skill Up with Python: Data Science and Machine Learning Recipes: Pearson
- Machine Learning Rapid Prototyping with IBM Watson Studio: IBM
- 使用 Python 进行机器学习: IBM
- 面向所有人的人工智能基础: IBM
- 适用于数据工程的 Python 项目: IBM
- 使用 Spark 和 Hadoop 的大数据简介: IBM
