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“数学建模” 的结果
- 状态:免费试用
IBM
您将获得的技能: 数据清理, 探索性数据分析, 数据处理, 数据操作, 数据分析, 数据转换, 统计, 概率与统计, 机器学习, 统计方法, 统计推理, 功能工程, 统计分析, 统计假设检验, 数据访问
- 状态:免费试用
Duke University
您将获得的技能: 微软 Azure, 云计算, 数据管理, 数据操作, 探索性数据分析, 负责任的人工智能, 数据分析, 应用程序部署, MLOps(机器学习 Operator), GitHub, Pandas(Python 软件包), AWS SageMaker, Python 程序设计, Devops, 机器学习, 大数据, 数据管道, NumPy, CI/CD, 集装箱化
- 状态:新状态:免费试用
Coursera Instructor Network
您将获得的技能: Prompt Engineering, Sales Strategy, Sales Pipelines, AI Personalization, Sales Operations, Responsible AI, Lead Generation, Sales Development, Generative AI Agents, Competitive Analysis, Sales Management, Marketing Automation, Customer Relationship Management (CRM) Software, Account Management, Business Process Automation, Business Intelligence, Workflow Management, Market Analysis, Data-Driven Decision-Making, Forecasting
- 状态:免费试用
Wesleyan University
您将获得的技能: 统计建模, 数据管理, 探索性数据分析, 数据叙事, 数据操作, 分类与回归树 (CART), 数据分析, 决策树学习, 数据扫盲, 数据展示, 回归分析, 相关性分析, 描述性统计, 统计, 机器学习, 统计分析, 数据可视化, 统计软件, 预测建模, 统计假设检验
- 状态:新状态:免费试用
University of Glasgow
您将获得的技能: Emerging Technologies, Generative AI, Communication Systems, Internet Of Things, Software-Defined Networking, Digital Communications, Network Architecture, Zero Trust Network Access, Artificial Intelligence and Machine Learning (AI/ML), Distributed Computing, Deep Learning, Artificial Intelligence, Information Technology, Health Technology, Electronics Engineering, Electrical Engineering, Machine Learning, Trustworthiness
- 状态:新
Google Cloud
您将获得的技能: Responsible AI, Generative AI, Large Language Modeling, Google Cloud Platform, Data Literacy, Unstructured Data, Data Ethics, Artificial Intelligence, Deep Learning, Machine Learning
- 状态:新状态:免费试用
National Taiwan University
您将获得的技能: Operations Research, Mathematical Modeling, Process Optimization, Report Writing, Business Mathematics, Network Model, Business Modeling, Industrial Engineering, Linear Algebra, Business Operations, Applied Mathematics, Operations Management, Algorithms, Resource Allocation, Case Studies, Engineering Calculations, Project Design, Machine Learning, Program Implementation, Business Analytics
- 状态:免费试用
您将获得的技能: Apache Spark, NoSQL, Apache Hadoop, Apache Cassandra, 生成式人工智能, 可扩展性, PySpark, 数据库, 数据库管理, MongoDB, 大数据, Docker (软件), 机器学习, Kubernetes, 应用机器学习, 监督学习, 数据管道, Apache Hive, IBM 云, 分布式计算
- 状态:免费试用
University of Pennsylvania
您将获得的技能: 机器学习算法, 数据分析, 工艺优化, 人工神经网络, 生成式人工智能, 深度学习, 机器学习, 人工智能, 张力流, Machine Learning 方法, Algorithm, 大数据
- 状态:新状态:免费试用
您将获得的技能: Deep Learning, PyTorch (Machine Learning Library), Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Large Language Modeling, Machine Learning, Python Programming, Algorithms, Network Architecture, Data Processing
- 状态:新状态:预览
您将获得的技能: Data Ethics, No-Code Development, Data Cleansing, Artificial Intelligence, Data Processing, Business Solutions, Machine Learning, Business Metrics, Data Storytelling, Usability, User Experience Design, Application Design, Generative AI, Business Analytics, Application Deployment, Scalability, Data Validation, Dashboard, Compliance Management, Automation
- 状态:免费试用
Imperial College London
您将获得的技能: 数据科学, Python 程序设计, 降维, NumPy, 统计, 概率与统计, 线性代数, 机器学习, 微积分, Jupyter
总之,以下是 10 最受欢迎的 数学建模 课程
- 机器学习的探索性数据分析: IBM
- MLOps | 机器学习运营: Duke University
- Generative AI for Sales: Coursera Instructor Network
- 数据分析与解释: Wesleyan University
- 6G Evolution: Blockchain, Semantic Communications & Radar: University of Glasgow
- AI Generatif: Memahami Konsep Dasar: Google Cloud
- Operations Research: National Taiwan University
- NoSQL、大数据和 Spark 基础: IBM
- 面向非数据科学家的人工智能基础知识: University of Pennsylvania
- Learning Deep Learning: Unit 1: Pearson