Machine Design 课程可以帮助您了解机械部件、系统动力学和材料选择。您可以掌握创建详细设计说明书、进行应力分析和通过模拟优化性能的技能。许多课程都会介绍用于绘图和建模的 CAD 软件等工具,以及用于评估设计完整性的有限元分析 (FEA) 工具。您还将探索制造工艺和原型制作技术,从而将所学知识应用到实际环境中。

Google Cloud
您将获得的技能: 模型部署, 自动化, MLOps(机器学习 Operator), 数据管道, 持续集成, 机器学习, 模型评估, Devops, 持续部署, Google 云端平台, 云部署
中级 · 课程 · 1-4 周

Google Cloud
您将获得的技能: Model Deployment, Tensorflow, MLOps (Machine Learning Operations), Dependency Analysis, Google Cloud Platform, Applied Machine Learning, Model Evaluation, Machine Learning, Performance Tuning, Data Validation, Distributed Computing, Scalability, Data Pipelines, Debugging
高级设置 · 课程 · 1-3 个月

Eindhoven University of Technology
您将获得的技能: Human Centered Design, Design Thinking, Research and Design, Design Research, Prioritization, Decision Making, Research, Collaboration, Goal Setting, Qualitative Research, Visionary, Case Studies, Communication
初级 · 课程 · 1-3 个月

University of Colorado Boulder
您将获得的技能: 回归分析, 数据科学, 分类算法, 决策树学习, Python 程序设计, 机器学习, 数据预处理, 随机森林算法, 机器学习算法, Scikit-learn (机器学习库), 功能工程, 模型评估, 性能调整, 逻辑回归, NumPy, 监督学习, 数据分析, 探索性数据分析, 应用机器学习
攻读学位
中级 · 课程 · 1-3 个月

您将获得的技能: Feature Engineering, Decision Tree Learning, Applied Machine Learning, Model Evaluation, Random Forest Algorithm, Responsible AI, Data Import/Export, Machine Learning, Classification Algorithms
初级 · 指导项目 · 不超过 2 小时
University of Illinois Urbana-Champaign
您将获得的技能: 回归分析, 数据操作, Python 程序设计, 数据预处理, 机器学习, 分类算法, 模型评估, Pandas(Python 软件包), 应用机器学习, 监督学习, 时间序列分析和预测, Scikit-learn (机器学习库), Jupyter, 无监督学习, 文本挖掘, 功能工程, 机器学习算法, 预测建模
攻读学位
中级 · 课程 · 1-3 个月

您将获得的技能: Canva (Software), Logo Design, Branding, Brand Strategy, Graphic Design, Target Audience, Marketing Materials, Social Media, Scheduling, Presentations, Content Creation, Social Media Marketing
初级 · 指导项目 · 不超过 2 小时

University of Virginia
您将获得的技能: 促进讨论, 以用户为中心的设计, 创新, 用户故事, 产品管理, 产品开发, 角色开发, 产品设计, 敏捷软件开发, Agile 方法论, 设计思维, 敏捷产品开发, 用户研究, 软件开发
初级 · 课程 · 1-4 周

您将获得的技能: Model Evaluation, Applied Machine Learning, Data Preprocessing, Classification Algorithms, Random Forest Algorithm, Data Transformation, Regression Analysis, Feature Engineering, Decision Tree Learning, Machine Learning, Exploratory Data Analysis
初级 · 指导项目 · 不超过 2 小时

您将获得的技能: Feature Engineering, Data Cleansing, Data Visualization, Data Preprocessing, Logistic Regression, Predictive Modeling, Applied Machine Learning, Supervised Learning, Scikit Learn (Machine Learning Library), Machine Learning, Model Evaluation, Classification Algorithms, Data Science, Python Programming
初级 · 指导项目 · 不超过 2 小时

您将获得的技能: Model Evaluation, Classification Algorithms, Regression Analysis, Matplotlib, Feature Engineering, Time Series Analysis and Forecasting, Data Preprocessing, Jupyter, Image Analysis, Cloud Deployment, Scikit Learn (Machine Learning Library), Applied Machine Learning, Tensorflow, Amazon Web Services, Python Programming, Data Transformation, Logistic Regression, Machine Learning Methods, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML)
初级 · 专项课程 · 1-3 个月

Johns Hopkins University
您将获得的技能: Computer Vision, Model Evaluation, Supervised Learning, Image Analysis, Data Preprocessing, Applied Machine Learning, Feature Engineering, Machine Learning Algorithms, Data Processing, Machine Learning, Data Cleansing, Scikit Learn (Machine Learning Library), Data Integration, Data Transformation, Data Manipulation, Classification Algorithms
中级 · 课程 · 1-4 周