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: 数据建模, 机器学习, 数据转换, 数据存储, Keras(神经网络库), 数据处理, 数据预处理, 数据管道, 数据流, 功能工程, 张力流, 应用机器学习, 实时数据, 模型优化
中级 · 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, Anomaly Detection, Exploratory Data Analysis, Machine Learning, Scikit Learn (Machine Learning Library), Natural Language Processing, Data Science, Quality Assurance, Data Pipelines, Machine Learning Algorithms, Classification Algorithms, Design Thinking, Python Programming
高级设置 · 课程 · 1-4 周

您将获得的技能: Terraform, Git (Version Control System), Containerization, Incident Management, Site Reliability Engineering, Infrastructure as Code (IaC), Cloud-Native Computing, Version Control, Prometheus (Software), Grafana, Kubernetes, DevSecOps, Devops Tools, CI/CD, DevOps, Docker (Software), Microservices, Incident Response, Cloud Infrastructure, Multi-Cloud
初级 · 专项课程 · 3-6 个月

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

您将获得的技能: Feature Engineering, Data Preprocessing, Data Cleansing, Apache Spark, Extract, Transform, Load, Data Processing, Data Pipelines, Data Transformation, Amazon Web Services, Data Wrangling, Responsible AI, Data Quality, Data Integrity, Data Validation, Model Training, Personally Identifiable Information
中级 · 课程 · 1-4 周

Google Cloud
您将获得的技能: Feature Engineering, Data Preprocessing, Dataflow, Tensorflow, Data Pipelines, Keras (Neural Network Library), Data Store, Data Transformation, Data Processing, Machine Learning Methods, Data Modeling, Machine Learning, Python Programming
中级 · 课程 · 1-3 个月

Coursera
您将获得的技能: Embedded Software, Real-Time Operating Systems, Embedded Systems, Software Architecture, Code Reusability, Pseudocode, Microarchitecture, Memory Management, Systems Architecture, Computer Hardware, System Programming, Computer Architecture, Software Design, Cross Platform Development, Software Systems, Hardware Architecture, Systems Design, Software Design Patterns, Internet Of Things, Hardware Troubleshooting
中级 · 专项课程 · 1-3 个月

IBM
您将获得的技能: 大型语言建模, 机器学习, 生成模型架构, Transfer Learning, 视觉转换器(ViT), 及时的工程工具, Keras(神经网络库), 及时工程, 矢量数据库, 生成式人工智能, 数据科学, PyTorch(机器学习库), 无监督学习, Apache Spark, 计算机视觉, Prompt Engineering, 迁移学习, Model Evaluation, 微调, 模型评估, PySpark, Python 编程, 检索-增强生成
攻读学位
中级 · 专业证书 · 3-6 个月

您将获得的技能: Responsible AI, MLOps (Machine Learning Operations), Model Optimization, Model Deployment, Feature Engineering, Product Requirements, Prompt Engineering, Data Ethics, Prompt Patterns, LLM Application, Model Training, Kubernetes, AI Security, Systems Architecture, Large Language Modeling, Model Evaluation, PyTorch (Machine Learning Library), Apache Airflow, Data Pipelines, SQL
中级 · 专业证书 · 3-6 个月

MathWorks
您将获得的技能: Power Electronics, Simulation and Simulation Software, Model Based Systems Engineering, Electronic Systems, Electrical Systems, Electrical Engineering, Three-Phase, Machine Controls, Systems Integration, Engineering Practices, Simulations, Electrical Power, Electronics Engineering, Electronics, Electric Power Systems, Engineering Analysis, Engineering, Engineering Design Process, Performance Tuning, Environmental Issue
初级 · 专业证书 · 3-6 个月
Khalifa University
您将获得的技能: Environmental Management Systems, Environment Health And Safety, Environmental Monitoring, Accident Reporting, Fire And Life Safety, Accident Prevention, Hazardous Waste Operations And Emergency Response Standard (HAZWOPER), Environmental Regulations, Safety Assurance, Health And Safety Standards, 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

Scrimba
您将获得的技能: OpenAI 应用程序接口, 及时工程, 云部署, 软件工程, LangChain, 云应用, OpenAI, 多模式提示, 嵌入, 图像分析, 法学硕士申请, 人工智能工作流程, 矢量数据库, 负责任的人工智能, 人工智能集成, Prompt Engineering, 模型上下文协议, 提示模式, 拥抱的脸, 检索-增强生成, 内存管理
中级 · 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。