Feature Engineering 课程
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。
热门 Feature Engineering 课程和认证
状态：新状态：免费试用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
状态：免费试用Google Cloud
您将获得的技能: 实时数据, MLOps（机器学习 Operator）, 数据转换, 数据管道, 数据建模, 数据存储, 数据预处理, 功能工程, 机器学习, 数据处理, 张力流, Keras（神经网络库）
状态：免费试用您将获得的技能: 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
状态：新状态：免费试用您将获得的技能: 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
状态：免费试用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
状态：免费试用IBM
您将获得的技能: 大型语言模型, 生成式人工智能, 计算机视觉, Model Evaluation, Prompt Engineering, LLM 申请, 无监督学习, PyTorch（机器学习库）, 检索-增强生成, 矢量数据库, 监督学习, 数据科学, Transfer Learning, 生成模型架构, PySpark, Apache Spark, 视觉转换器（ViT）, 机器学习, Python 程序设计, Keras（神经网络库）
是什么让您今天来到 Coursera？
状态：免费试用Scrimba
您将获得的技能: 生成式人工智能, LangChain, 嵌入, 拥抱的脸, Prompt Engineering, 检索-增强生成, LLM 申请, 矢量数据库, 云部署, 多模式 Prompt, 负责任的人工智能, 云应用, 模型上下文 Protocol, 应用程序部署, 软件工程, OpenAI, AI 工作流程, 图像分析, 应用程序接口网关, OpenAI 应用程序接口
状态：新状态：免费试用您将获得的技能: Responsible AI, MLOps (Machine Learning Operations), Model Deployment, Feature Engineering, Product Requirements, Prompt Engineering, Data Ethics, Prompt Patterns, LLM Application, Kubernetes, AI Security, Systems Architecture, Large Language Modeling, Software Architecture, Test Automation, Model Evaluation, PyTorch (Machine Learning Library), Apache Airflow, Data Pipelines, SQL
状态：免费试用IBM
您将获得的技能: 前端网络开发, 开发环境, 软件设计模式, 统一模型语言, 软件文档, 计算机编程, 编程原则, 软件开发生命周期, 应用程序部署, 软件工程, 软件架构, 软件开发方法, 后端网站开发, 网络应用, 软件设计, 软件开发工具, 软件开发, Python 程序设计
状态：免费试用您将获得的技能: Prompt Engineering, Large Language Modeling, Generative AI, Retrieval-Augmented Generation, Generative Model Architectures, PyTorch (Machine Learning Library), Generative AI Agents, Vector Databases, LLM Application, Generative Adversarial Networks (GANs), Embeddings, Natural Language Processing, Hugging Face, Transfer Learning, Data Pipelines, Recurrent Neural Networks (RNNs), Text Mining, Data Ethics, Data Preprocessing, Artificial Intelligence
状态：新状态：免费试用您将获得的技能: Recurrent Neural Networks (RNNs), Model Evaluation, Supervised Learning, Feature Engineering, Transfer Learning, NumPy, Matplotlib, Convolutional Neural Networks, Statistical Methods, Deep Learning, Applied Machine Learning, Data Visualization, Keras (Neural Network Library), Python Programming, Pandas (Python Package), Seaborn, Applied Mathematics, Machine Learning, Machine Learning Algorithms, Tensorflow
状态：新状态：免费试用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
总之，以下是 10 最受欢迎的 feature engineering 课程
- Deep Learning Engineering: Coursera
- 功能工程: Google Cloud
- AI Workflow: Feature Engineering and Bias Detection: IBM
- AWS: Feature Engineering Data Transformation & Integrity : Whizlabs
- Mathematics for Engineering: Birla Institute of Technology & Science, Pilani
- IBM 人工智能工程: IBM
- 人工智能工程: Scrimba
- LLM Engineering That Works: Prompting, Tuning, and Retrieval: Coursera
- 软件工程概论: IBM
- Generative AI Engineering with LLMs: IBM
