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, Model Training, Classification And Regression Tree (CART), Decision Tree Learning, Data Preprocessing, R (Software), Statistical Modeling, R Programming, Supervised Learning, Machine Learning
初级 · 指导项目 · 不超过 2 小时

IBM
您将获得的技能: 统计机器学习, 回归分析, 业务逻辑, 抽样(统计), 监督学习, 机器学习方法, 模型优化, 预测建模, Scikit Learn(机器学习库), 数据预处理, 机器学习算法, 机器学习, 逻辑回归, 分类算法, 决策树学习, Model Evaluation, 模型培训, 数据清理, 模型评估, 随机森林算法, 应用机器学习
中级 · 课程 · 1-3 个月

Arizona State University
您将获得的技能: Problem Solving, Decision Making, Creative Thinking, Root Cause Analysis, Creative Problem-Solving, Data Collection, Brainstorming, Curiosity, Strategic Decision-Making, Business Ethics, Creativity, Ethical Standards And Conduct, Complex Problem Solving, Independent Thinking, Risk Analysis, Design Thinking, Analysis, Data Synthesis, Strategic Thinking, Collaboration
初级 · 专项课程 · 1-3 个月
您将获得的技能: Model Evaluation, Decision Tree Learning, Classification Algorithms, Model Training, Applied Machine Learning, Java, Java Programming, Model Optimization, Predictive Modeling, Machine Learning Software, Supervised Learning, Technical Communication, Fine-tuning, Tree Maps, MLOps (Machine Learning Operations), Machine Learning Algorithms, Algorithms
高级设置 · 课程 · 1-4 周

Creo Incubator
您将获得的技能: Critical Thinking, Critical Thinking and Problem Solving, Analytical Skills, Analysis, Problem Solving, Decision Making, Habit Formation, Curiosity, Complex Problem Solving, Open Mindset, Gap Analysis
初级 · 课程 · 1-4 周

您将获得的技能: Classification And Regression Tree (CART), Decision Tree Learning, Data Preprocessing, Data Transformation, Supervised Learning, Predictive Modeling, Feature Engineering, Scikit Learn (Machine Learning Library), Classification Algorithms, Applied Machine Learning, Model Evaluation, Model Training
中级 · 指导项目 · 不超过 2 小时

您将获得的技能: Decision Intelligence, Decision Making, Strategic Decision-Making, Data-Driven Decision-Making, Analytical Skills, Portfolio Management, Interviewing Skills, Data Analysis, Predictive Modeling, Data Presentation, Business Writing, Goal Setting, Artificial Intelligence, Business Communication, Strategic Communication, Stakeholder Communications, Machine Learning, Model Evaluation
中级 · 课程 · 1-4 周

您将获得的技能: Classification And Regression Tree (CART), Dashboard Creation, Dashboard, Decision Intelligence, Descriptive Statistics, Root Cause Analysis, Data Analysis, Predictive Modeling, Advanced Analytics, Tableau Software, Scikit Learn (Machine Learning Library), Model Deployment, Artificial Intelligence and Machine Learning (AI/ML), Natural Language Processing, Apache Spark, Keras (Neural Network Library), Retrieval-Augmented Generation, Reinforcement Learning, Apache Kafka, SQL
中级 · 专项课程 · 3-6 个月

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

您将获得的技能: Correlation Analysis, Data Pipelines, Dashboard, Dashboard Creation, Analytics, SQL, Business Analytics, Data Infrastructure, Data-Driven Decision-Making, Warehousing, Analysis, Capacity Management, Data Warehousing, Performance Analysis, Performance Metric, Scalability, Performance Measurement, Return On Investment, Interactive Data Visualization, Descriptive Statistics
高级设置 · 课程 · 1-4 周

Coursera
您将获得的技能: Decision Making, Strategic Decision-Making, Solution Selling, Decision Intelligence, Sales, Data-Driven Decision-Making, Decision Support Systems, Complex Problem Solving, Cost Benefit Analysis, Decision Tree Learning, Negotiation, Prioritization, Return On Investment
中级 · 课程 · 1-4 周

您将获得的技能: Feature Engineering, Decision Tree Learning, Applied Machine Learning, Supervised Learning, Advanced Analytics, Statistical Machine Learning, Machine Learning, Machine Learning Algorithms, Unsupervised Learning, Analytics, Model Training, Random Forest Algorithm, Model Optimization, Predictive Modeling, Model Evaluation, Python Programming, Performance Tuning, Classification Algorithms
高级设置 · 课程 · 1-3 个月
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。