Feature Engineering 课程可以帮助您学习将原始数据 Transformer 为有意义的特征、选择相关变量和创建新特征以提高模型性能的技术。您可以掌握数据预处理、处理缺失值以及利用领域知识增强特征集的技能。

Google Cloud
您将获得的技能: 数据预处理, 数据管道, 实时数据, 数据转换, 数据存储, 数据建模, 功能工程, 机器学习, 数据处理, Keras(神经网络库), 张力流, MLOps(机器学习 Operator)
中级 · 课程 · 1-3 个月

Coursera
您将获得的技能: Model Deployment, PyTorch (Machine Learning Library), Transfer Learning, Natural Language Processing, Debugging, Containerization, Kubernetes, Docker (Software), MLOps (Machine Learning Operations), Distributed Computing, Performance Tuning, Applied Machine Learning, Deep Learning, Vision Transformer (ViT), Tensorflow, Cloud Computing, Model Evaluation, Artificial Neural Networks, Data Pipelines, Computer Vision
高级设置 · 专项课程 · 1-3 个月

您将获得的技能: Feature Engineering, Data Ethics, Unsupervised Learning, Dimensionality Reduction, Responsible AI, Text Mining, Data Preprocessing, Data Transformation, MLOps (Machine Learning Operations), Anomaly Detection, Exploratory Data Analysis, Machine Learning Methods, Machine Learning, Model Evaluation, Natural Language Processing, Data Science, Quality Assurance, Data Pipelines, Data Visualization, Python Programming
高级设置 · 课程 · 1-4 周

Birla Institute of Technology & Science, Pilani
您将获得的技能: Data Analysis, Computational Logic, Engineering Calculations, Trigonometry, Linear Algebra, Engineering Analysis, Logical Reasoning, Deductive Reasoning, Probability & Statistics, Statistical Analysis, Calculus, Analytical Skills, Bayesian Statistics, Differential Equations, Programming Principles, Statistical Inference, Theoretical Computer Science, Numerical Analysis, Descriptive Analytics, Applied Mathematics
初级 · 专项课程 · 3-6 个月

您将获得的技能: Feature Engineering, Data Preprocessing, AWS SageMaker, Data Cleansing, Apache Spark, Extract, Transform, Load, Data Pipelines, Data Transformation, Amazon Web Services, Responsible AI, Data Quality, Data Integrity, Amazon S3, Personally Identifiable Information, Data Security
中级 · 课程 · 1-4 周
Khalifa University
您将获得的技能: Environmental Management Systems, Environment Health And Safety, Environmental Monitoring, Accident Reporting, Safety Training, Fire And Life Safety, Accident Prevention, Hazardous Waste Operations And Emergency Response Standard (HAZWOPER), Environmental Regulations, Occupational Health, Environmental Engineering, Environmental Laws, Environmental Resource Management, Risk Management, Risk Management Framework, Environmental Engineering and Restoration, Risk Analysis, Environment and Resource Management, Engineering Management, Engineering
初级 · 专项课程 · 1-3 个月

Arizona State University
您将获得的技能: Statistical Process Controls, Process Control, Semiconductors, Quality Assurance, Verification And Validation, Electronics Engineering, Manufacturing Operations, Manufacturing Processes, Electronics, Process Improvement, Process Analysis, Product Testing, Reliability, Electronic Components, Electronic Systems, Computer Hardware, Computer Architecture, Thermal Management, Scalability, Systems Integration
初级 · 专项课程 · 3-6 个月

IBM
您将获得的技能: 前端网络开发, 软件开发生命周期, Python 程序设计, 软件开发工具, 软件设计模式, 应用程序部署, 编程原则, 统一模型语言, 开发环境, 软件工程, 软件架构, 软件开发方法, 软件文档, 后端网站开发, 网络应用, 软件开发, 软件设计, 计算机编程
初级 · 课程 · 1-3 个月

The Hong Kong University of Science and Technology
您将获得的技能: 工程计算, 数学软件, 有限元方法, Matlab, 工程分析, 几何学, 数学建模, 积分微积分, 模拟和模拟软件, 代数, 电磁学, 数值分析, 应用数学, 微分方程, 机械工程, 高等数学, 计算思维, 微积分, 线性代数, 估算
初级 · 专项课程 · 3-6 个月

Dassault Systèmes
您将获得的技能: Computer Aided Three-Dimensional Interactive Application (CATIA), Drafting and Engineering Design, Mechanical Design, Engineering Drawings, Issue Tracking, Technical Drawing, Mechanical Drawings, Assembly Drawing, 3D Modeling, Computer-Aided Design, Collaborative Software, Document Management, Mechanical Engineering, Product Lifecycle Management, Geometric Dimensioning And Tolerancing, Product Engineering, Microsoft Office, Team Building, 3D Assets, Product Family Engineering
初级 · 专项课程 · 1-3 个月

The Hong Kong University of Science and Technology
您将获得的技能: 项目管理, 项目规划, 面向对象设计, 需求分析, 验收测试, 软件设计模式, 软件开发生命周期, 统一模型语言, 系统设计, 白盒测试, 软件测试, 功能要求, 调试, 数据建模, 软件架构, 软件开发方法, 配置管理, 软件设计, 流程驱动的开发, 软件工程
中级 · 专项课程 · 3-6 个月

Dartmouth College
您将获得的技能: Structural Analysis, Structural Engineering, Architectural Engineering, Building Design, Vibrations, Civil Engineering, Engineering, Construction, SketchUp (3D Modeling Software), Mechanics, Engineering Analysis, Engineering Calculations, Mathematical Modeling, Engineering Design Process, Design, Simulation and Simulation Software, Experimentation, Materials science, 3D Modeling
初级 · 专项课程 · 3-6 个月
Feature Engineering 是利用领域知识从原始数据中提取特征,使其适合机器学习模型的过程。它通过将 Data Transformation 成 Algorithm 可以理解的格式,在提高 Model 性能方面发挥着至关重要的作用。有效的特征工程可以带来更好的预测和见解,因此是数据科学和解析的一项重要技能。
Feature Engineering 领域的工作通常包括数据科学家、机器学习工程师和数据分析师等职位。这些职位通常需要对数据操作和建模技术有很强的理解能力,以及处理大型数据集的能力。各行各业的公司都在寻求能够加强数据驱动决策流程的专业人才。
要想在Feature Engineering 方面取得优异成绩,应培养数据分析、编程(尤其是 Python 或 R)方面的技能,并熟悉机器学习算法。了解统计方法和数据 Visualization技术也是有益的。此外,掌握 Pandas、NumPy 和Scikit-learn等工具和库的知识也能提高您在这一领域的能力。
一些最好的特色工程在线课程包括Feature Engineering和AWS:Feature Engineering 数据 Transformer \& Integrity。这些课程提供实用的见解和实践经验,帮助您在 Feature Engineering 方面打下坚实的基础。
是的,您可以通过两种方式在 Coursera 上免费开始学习 Feature Engineering:
如果您想继续学习、获得 Feature Engineering 证书或在预览或试用后解锁全部课程访问权限,您可以升级或申请经济援助。
要学习 Feature Engineering,首先要学习涵盖数据科学和 Machine Learning 基础知识的入门课程。参与实践项目,锻炼自己的技能。此外,参加在线论坛和社区可以在您的学习过程中提供支持和资源。
Feature Engineering课程涵盖的典型主题包括数据预处理、Feature Selection、Feature Extraction 和处理缺失数据的技术。课程还可以探讨 FeatureEngineering对模型性能的影响,并提供案例研究来说明实际应用。
对于培训和提升员工的 Feature Engineering 技能,可以考虑IBM AI Engineering Professional Certificate和DeepLearning.AI Data Engineering Professional Certificate 等课程。这些专业证书提供全面的培训,可以提高员工的技能。