Decision Tree Learning
当前趋势
状态：免费试用多位教师
状态：免费试用IBM
状态：免费试用
状态：免费试用DeepLearning.AI
最新发布
状态：免费试用Board Infinity
状态：预览
状态：预览EDUCBA
筛选依据
主题必需的
语言必需的
在整个课程（说明和评估）中使用的语言。
了解产品必需的
级别必需的
课程长度必需的
字幕必需的
教师必需的
“decision tree learning” 的结果
状态：免费试用多位教师
您将获得的技能: 数据伦理, 机器学习, 分类与回归树 (CART), 人工智能, 预测建模, 人工智能和机器学习（AI/ML）, 无监督学习, NumPy, Python 程序设计, 强化学习, 随机森林算法, 应用机器学习, 决策树学习, 负责任的人工智能, Jupyter, 功能工程, 监督学习, 深度学习, 张力流, Scikit-learn （机器学习库）
- 状态：新状态：免费试用
Board Infinity
您将获得的技能: Responsible AI, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Jenkins, CI/CD, Java, Continuous Deployment, Java Programming, Artificial Intelligence, Apache Spark, Applied Machine Learning, Decision Tree Learning, Deep Learning, Machine Learning, Fraud detection, Spring Boot, Natural Language Processing, Regression Analysis, Reinforcement Learning, Debugging
状态：新您将获得的技能: Feature Engineering, Supervised Learning, Exploratory Data Analysis, Machine Learning Algorithms, Applied Machine Learning, Decision Tree Learning, Predictive Modeling, Data Analysis, Scikit Learn (Machine Learning Library), Machine Learning, Classification And Regression Tree (CART), Statistical Modeling, Pandas (Python Package), NumPy, Data Cleansing, Data Manipulation
状态：新状态：预览您将获得的技能: Supervised Learning, Random Forest Algorithm, Applied Machine Learning, Data Processing, Classification And Regression Tree (CART), Decision Tree Learning, Feature Engineering, Machine Learning Algorithms, Predictive Modeling, Performance Testing, Data Analysis, Scikit Learn (Machine Learning Library), Python Programming
状态：新状态：预览您将获得的技能: Exploratory Data Analysis, Predictive Modeling, Risk Modeling, Classification And Regression Tree (CART), Decision Tree Learning, Credit Risk, Predictive Analytics, Random Forest Algorithm, Data Processing, Feature Engineering, Financial Modeling, Data Manipulation, Data Analysis, Applied Machine Learning, Scikit Learn (Machine Learning Library), Pandas (Python Package), Machine Learning Methods, Supervised Learning, Performance Metric, Performance Tuning
状态：免费试用您将获得的技能: Feature Engineering, Applied Machine Learning, Advanced Analytics, Machine Learning, Unsupervised Learning, Workflow Management, Data Ethics, Supervised Learning, Data Validation, Classification And Regression Tree (CART), Random Forest Algorithm, Decision Tree Learning, Python Programming, Performance Tuning
是什么让您今天来到 Coursera？
状态：新状态：预览您将获得的技能: Classification And Regression Tree (CART), Predictive Analytics, Decision Tree Learning, Data-Driven Decision-Making, Marketing Analytics, Data Analysis, Feature Engineering, Statistical Modeling, Financial Forecasting, Marketing, Supervised Learning, Data Cleansing, Machine Learning Methods, Data Transformation, Program Standards
状态：免费试用Johns Hopkins University
您将获得的技能: PyTorch (Machine Learning Library), Unsupervised Learning, Computer Vision, Machine Learning Algorithms, Applied Machine Learning, Image Analysis, Dimensionality Reduction, Supervised Learning, Reinforcement Learning, Feature Engineering, Regression Analysis, Data Cleansing, Machine Learning, Data Mining, Scikit Learn (Machine Learning Library), Statistical Machine Learning, Advanced Analytics, Deep Learning, Artificial Neural Networks, Decision Tree Learning
状态：免费试用University of Michigan
您将获得的技能: 机器学习, 回归分析, 预测建模, 无监督学习, 监督学习, Python 程序设计, 随机森林算法, 降维, 功能工程, 应用机器学习, 决策树学习, Scikit-learn （机器学习库）
状态：预览您将获得的技能: Supervised Learning, Decision Tree Learning, Applied Machine Learning, Data Processing, Predictive Modeling, Statistical Machine Learning, Random Forest Algorithm, Feature Engineering, SAS (Software), Machine Learning, Data Analysis, Artificial Neural Networks, Data Cleansing, Predictive Analytics, No-Code Development, Statistical Programming, Performance Tuning
状态：免费试用您将获得的技能: 机器学习, 预测建模, 分类与回归树 (CART), 监督学习, 回归分析, 无监督学习, 统计建模, 降维, 决策树学习, 应用机器学习, 功能工程, Scikit-learn （机器学习库）
状态：免费试用University of Colorado Boulder
您将获得的技能: 机器学习, Matplotlib, 分类与回归树 (CART), 数据科学, 预测建模, 无监督学习, 人工智能和机器学习（AI/ML）, 随机森林算法, 机器学习算法, 计算机视觉, Python 程序设计, 应用机器学习, 降维, 数学建模, 深度学习, 图像分析, 决策树学习, Scikit-learn （机器学习库）, 监督学习, Keras（神经网络库）
