筛选依据
主题必需的
语言必需的
在整个课程（说明和评估）中使用的语言。
了解产品必需的
级别必需的
课程长度必需的
技能必需的
字幕必需的
教师必需的
“computational logic” 的结果
状态：免费试用École Polytechnique Fédérale de Lausanne
您将获得的技能: 可扩展性, Java, 其他编程语言, Algorithm, 数据结构, 功能设计, Scala 编程, 性能调整, 分布式计算
状态：免费试用University of Illinois Urbana-Champaign
您将获得的技能: 可扩展性, 数据存储技术, C++（编程语言）, 云计算, Apache Cassandra, Algorithm, 理论计算机科学, 数据库理论, Network Protocol（网络协议, 系统设计, NoSQL, 分布式计算, Apache Hadoop
您将获得的技能: Generative AI, MLOps (Machine Learning Operations), Google Cloud Platform, Responsible AI, Predictive Modeling, Large Language Modeling, Machine Learning, Continuous Monitoring
状态：预览École Polytechnique Fédérale de Lausanne
您将获得的技能: Algorithm, 计算机编程, 数据结构, 功能设计, 性能测试, 性能调整, Scala 编程, 分布式计算
状态：免费试用DeepLearning.AI
您将获得的技能: 线性代数, 统计分析, 微积分, 数据转换, 应用数学, A/B 测试, 降维, NumPy, 概率, 概率分布, 描述性统计, 统计假设检验, 概率与统计, 数值分析, 机器学习, Machine Learning 方法, 统计推理, 抽样（统计）, 数学建模, 贝叶斯统计
状态：预览National Taiwan University
您将获得的技能: Supervised Learning, Machine Learning, Machine Learning Algorithms, Data Validation, Classification And Regression Tree (CART), Algorithms, Regression Analysis, Predictive Modeling, Feature Engineering, Artificial Intelligence, Data Ethics, Statistical Methods, Data Transformation
状态：免费试用您将获得的技能: Generative AI, Oracle Cloud, Large Language Modeling, Artificial Intelligence, Supervised Learning, Deep Learning, Machine Learning, Artificial Neural Networks, Unsupervised Learning, Computer Vision, Natural Language Processing
状态：免费试用Duke University
您将获得的技能: 大型语言模型, MLOps（机器学习 Operator）, 阿帕奇气流, 可扩展性, 工作流程管理, LLM 申请, 数据湖, 数据库, ChatGPT, AWS SageMaker, 生成模型架构, 性能分析, 多模式 Prompt, 生成式人工智能, 亚马逊基岩, 性能调整, 摘录, OpenAI, Prompt Engineering, 数据库管理系统
状态：预览National Taiwan University
您将获得的技能: Supervised Learning, Machine Learning, Statistical Machine Learning, Classification And Regression Tree (CART), Artificial Intelligence and Machine Learning (AI/ML), Theoretical Computer Science, Mathematical Modeling, Probability & Statistics, Regression Analysis, Algorithms
状态：预览Johns Hopkins University
您将获得的技能: Descriptive Statistics, Linear Algebra, Exploratory Data Analysis, Data-Driven Decision-Making, Data Analysis, Bayesian Statistics, Statistics, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Probability, Regression Analysis, Calculus, Statistical Analysis, Advanced Mathematics, Applied Mathematics, Probability Distribution, Mathematical Modeling, Integral Calculus, Algebra, Machine Learning Algorithms
状态：免费试用University of Colorado System
您将获得的技能: 密码学, 算术, 计算机科学, Algorithm, 应用数学, 概率
状态：预览Fred Hutchinson Cancer Center
您将获得的技能: 大型语言模型, 数据科学, 人工智能, 数据伦理, LLM 申请, 计算机编程工具, 代码审查, ChatGPT, 调试, 生物信息学, 生成式人工智能, 软件文档, 负责任的人工智能, 可维护性, Prompt Engineering
总之，以下是 10 最受欢迎的 computational logic 课程
- 并行编程: École Polytechnique Fédérale de Lausanne
- 云计算概念，第 1 部分: University of Illinois Urbana-Champaign
- Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - 日本語版: Google Cloud
- 并行编程（Scala 2 版本）: École Polytechnique Fédérale de Lausanne
- 机器学习和数据科学数学: DeepLearning.AI
- 機器學習基石下 (Machine Learning Foundations)---Algorithmic Foundations: National Taiwan University
- Oracle Cloud Infrastructure AI Foundations: Oracle
- Large Language Model Operations (LLMOps): Duke University
- 機器學習基石上 (Machine Learning Foundations)---Mathematical Foundations: National Taiwan University
- Foundational Mathematics for AI: Johns Hopkins University
