决策树课程可以帮助您学习如何创建、分析和优化决策树,以完成数据分析、分类和回归任务。您可以掌握特征选择、模型 Evaluation 以及理解过度拟合与欠拟合等方面的技能。许多课程都会介绍一些工具,如 Python 的 Scikit-learn、R 的 rpart 和各种可视化软件,这些工具都支持在现实世界的数据集中实施决策树并分析其性能。

您将获得的技能: Model Evaluation, Decision Tree Learning, Data Preprocessing, Data Manipulation, Statistical Modeling, R Programming, Supervised Learning, Machine Learning, Classification Algorithms
初级 · 指导项目 · 不超过 2 小时

您将获得的技能: Data Visualization, Data Ethics, Data Integrity, Data Analysis, Tableau Software, Stakeholder Communications, Responsible AI, Verbal Communication Skills, Small Data, Decision Making, Stakeholder Analysis, Sampling (Statistics), Key Performance Indicators (KPIs), Probability & Statistics, Big Data, Data Sharing, Statistics, Spreadsheet Software, Concision, Solution Design
初级 · 专项课程 · 3-6 个月

Creo Incubator
您将获得的技能: Critical Thinking, Analytical Skills, Problem Solving, Decision Making, Curiosity, Complex Problem Solving, Research, Strategic Decision-Making
初级 · 课程 · 1-4 周

University at Buffalo
您将获得的技能: 精益方法, 数据叙事, 数据可视化软件, 商业分析, 数据分析, 根源分析, 数据扫盲, 业务过程, 分析, 统计过程控制, Minitab, Tableau 软件, 流程改进, 流程制图, 数据驱动的决策制定, 数据伦理, 六西格玛方法, 数据收集, 过程分析, 数据展示
初级 · 专项课程 · 1-3 个月

您将获得的技能: Decision Tree Learning, Data Preprocessing, Data Transformation, Supervised Learning, Feature Engineering, Scikit Learn (Machine Learning Library), Classification Algorithms, Model Evaluation, Pandas (Python Package)
中级 · 指导项目 · 不超过 2 小时

IBM
您将获得的技能: 模型评估, 分类算法, 机器学习, 数据清理, 逻辑回归, 数据预处理, Scikit-learn (机器学习库), 监督学习, 性能指标, 决策树学习, 功能工程, 随机森林算法, 抽样(统计), 预测建模
中级 · 课程 · 1-3 个月
University of Glasgow
您将获得的技能: Deep Learning, Model Evaluation, Data Ethics, Health Informatics, ICD Coding (ICD-9/ICD-10), Clinical Data Management, Medical Records, Clinical Informatics, Descriptive Analytics, Database Design, AI Security, Electronic Medical Record, Responsible AI, Data Mining, Precision Medicine, Analytics, Recurrent Neural Networks (RNNs), Data Preprocessing, Machine Learning, Autoencoders
中级 · 专项课程 · 3-6 个月

Edureka
您将获得的技能: Responsible AI, Data Storytelling, AI Workflows, Data Presentation, AI Enablement, Predictive Modeling, Decision Support Systems, Strategic Decision-Making, Data-Driven Decision-Making, Business Intelligence, Decision Making, Business Analytics, Agentic systems, MLOps (Machine Learning Operations), Forecasting, Predictive Analytics, Scikit Learn (Machine Learning Library), Machine Learning, Data Security, Text Mining
中级 · 专项课程 · 1-3 个月

您将获得的技能: Responsible AI, AI Workflows, AI Enablement, Agentic systems, Automation, Business Process Automation, Real Time Data, MLOps (Machine Learning Operations), AI Personalization, IT Automation, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, No-Code Development, Cloud-Based Integration, Business Transformation, Cloud API, Python Programming, Data Analysis, Restful API, API Design
中级 · 课程 · 1-4 周

您将获得的技能: Data Storytelling, Data Presentation, Data-Driven Decision-Making, Strategic Decision-Making, Product Management, Customer Insights, Data Analysis, Forecasting, A/B Testing, Business Analytics, Analytics, Prioritization, Statistical Analysis, Business Metrics, User Research, Customer Retention, Machine Learning Methods, Root Cause Analysis, Statistical Methods, Stakeholder Communications
中级 · 专项课程 · 3-6 个月

您将获得的技能: Data Storytelling, Predictive Analytics, Data Presentation, Responsible AI, Predictive Modeling, Strategic Decision-Making, Data-Driven Decision-Making, Business Intelligence, Data Visualization, Decision Making, Artificial Intelligence and Machine Learning (AI/ML), Scikit Learn (Machine Learning Library), Business Marketing, Natural Language Processing, Text Mining, Python Programming, Reinforcement Learning, Data Security, Network Analysis, Security Awareness
初级 · 课程 · 1-4 周
Coursera
您将获得的技能: Classification And Regression Tree (CART), Decision Tree Learning, Classification Algorithms, Java, Java Programming, Machine Learning Algorithms, Supervised Learning, Algorithms, Machine Learning, Data Structures, Software Engineering
高级设置 · 课程 · 1-4 周
决策树是决策及其可能后果(包括偶然事件结果、资源成本和效用)的直观表示。决策树之所以重要,是因为它可以清晰地勾勒出各种决策的路径和潜在结果,从而帮助个人和组织做出明智的选择。决策 Tree 简化了复杂的决策过程,使评估选项和根据历史数据和 Probability 预测结果变得更加容易。
涉及决策树分析的职业横跨各个领域,包括数据科学、商业解析、金融和医疗保健。职位名称可能包括数据分析师、商业智能分析师、金融分析师和医疗保健数据分析师。这些职位通常需要具备解释数据的能力,并根据决策树 Model 提出战略建议,从而对组织成果产生重大影响。
学习决策树的最佳在线课程包括决策解析(Analytics for Decision Making ) 专项课程和数据驱动决策(DDDM)专项课程。这些课程全面介绍了决策框架和决策树在各种情况下的实际应用。
决策树课程通常涉及的主题包括决策树的基础知识、如何构建和解释决策树、分类树和Regression树之间的区别以及修剪树以避免过度拟合的技术。课程还可以探讨决策树与其他机器学习 算法的整合及其在各行业中的应用。
对于培训和提高员工技能而言,《面向 Agile 组织的数据驱动决策》专项课程和《面向所有人的决策》专项课程等课程都是极佳的选择。这些课程侧重于实用的决策技能,可以提高组织的效率和适应性。