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在整个课程(说明和评估)中使用的语言。
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“环境科学” 的结果
- 状态:免费试用
您将获得的技能: 数据科学, 数据综合, 数据伦理, 预测建模, 自然语言处理, 探索性数据分析, ChatGPT, 人工智能和机器学习(AI/ML), 功能工程, Prompt Engineering, 生成式人工智能, 数据可视化软件, 机器学习, 数据分析, 负责任的人工智能, 提示模式
- 状态:免费试用
您将获得的技能: 威胁建模, 人工智能, 网络安全, 恶意软件保护, 网络威胁情报, ChatGPT, 人工智能和机器学习(AI/ML), 漏洞管理, 事件响应, 负责任的人工智能, 威胁检测, 生成式人工智能, 事件管理, 入侵检测和防御, 机器学习, Prompt Engineering, 提示模式, 安全信息与事件管理(SIEM), 异常检测
- 状态:新状态:免费试用
您将获得的技能: Data Visualization, Multimodal Prompts, Prompt Engineering, Data Presentation, Prompt Patterns, Graphing, Generative AI Agents, Generative AI, Timelines, LLM Application, ChatGPT, Artificial Intelligence, Complex Problem Solving, Ideation, Business Correspondence, Report Writing, Solution Design, Critical Thinking, Document Management, Machine Learning
- 状态:新状态:免费试用
您将获得的技能: Prompt Engineering, Prompt Patterns, Generative AI, ChatGPT, Responsible AI, Business Analysis, Data-Driven Decision-Making, Data Analysis, Artificial Intelligence, Business Process Automation, Stakeholder Communications, Business Requirements, Requirements Elicitation, Requirements Analysis, Data Presentation, Artificial Intelligence and Machine Learning (AI/ML), Workflow Management, Business Strategy, Process Optimization, Machine Learning
- 状态:免费试用
您将获得的技能: Prompt Engineering, Prompt Patterns, Generative AI, ChatGPT, Standard Operating Procedure, Customer Support, Product Support, AI Personalization, Customer Analysis, Personalized Service, LLM Application, Artificial Intelligence and Machine Learning (AI/ML), Customer experience improvement, Data Ethics, Customer Insights, Responsible AI, Automation, Machine Learning, Natural Language Processing
- 状态:预览
Peking University
您将获得的技能: Proposal Development, Social Sciences, Research Methodologies, Research, Scientific Methods, Surveys, Experimentation, Data Collection, Research Design, Sociology, Qualitative Research, Sample Size Determination, Healthcare Ethics, Probability & Statistics
- 状态:预览
DeepLearning.AI
您将获得的技能: Python 程序设计, 大型语言模型, 可扩展性, 自然语言处理, 生成式人工智能, 性能调整, 机器学习, PyTorch(机器学习库), 应用机器学习, 负责任的人工智能, Prompt Engineering, 强化学习
- 状态:免费试用
DeepLearning.AI
您将获得的技能: Python 程序设计, 线性代数, 数据科学, 数据转换, 数据操作, 应用数学, 降维, NumPy, 机器学习, Machine Learning 方法, 数学建模
- 状态:免费试用
Google Cloud
您将获得的技能: Feature Engineering, Prompt Engineering, Google Cloud Platform, Generative AI, Tensorflow, Keras (Neural Network Library), MLOps (Machine Learning Operations), Cloud Infrastructure, Data Pipelines, Cloud Platforms, Data Management, Data Governance, Workflow Management, Artificial Intelligence, Deep Learning, Applied Machine Learning, Machine Learning, Cloud Computing, Data Processing, Artificial Neural Networks
- 状态:免费试用
DeepLearning.AI
您将获得的技能: 人工智能, 计算机视觉, 人工神经网络, Keras(神经网络库), 张力流, 机器学习, 图像分析, 深度学习
- 状态:免费试用
Imperial College London
您将获得的技能: Python 程序设计, 线性代数, 数据操作, 回归分析, 微积分, 统计分析, 统计, 数据科学, 应用数学, 降维, Algorithm, NumPy, 机器学习算法, 人工神经网络, 概率与统计, 衍生产品, Jupyter, 高等数学, 机器学习
- 状态:免费试用
您将获得的技能: Feature Engineering, MLOps (Machine Learning Operations), Prompt Engineering, Google Cloud Platform, Generative AI, Tensorflow, Keras (Neural Network Library), Apache Airflow, Cloud Infrastructure, CI/CD, Data Pipelines, Systems Design, Cloud Platforms, Data Management, Data Governance, Hybrid Cloud Computing, Workflow Management, Artificial Intelligence, Machine Learning, Cloud Computing
总之,以下是 10 最受欢迎的 环境科学 课程
- 面向数据科学家的生成式人工智能: IBM
- 面向网络安全专业人员的 IBM 生成式 AI: IBM
- Google Prompting Essentials: Google
- Generative AI for Business Analysts: IBM
- Generative AI for Customer Support: IBM
- 社会调查与研究方法 (上)Methodologies in Social Research (Part I): Peking University
- 采用大型语言模型的生成式 AI: DeepLearning.AI
- 机器学习和数据科学线性代数: DeepLearning.AI
- Machine Learning on Google Cloud: Google Cloud
- 用于人工智能、机器学习和深度学习的 TensorFlow 简介: DeepLearning.AI