DeepLearning.AI
专项课程
DeepLearning.AI
课程
Vanderbilt University
专项课程
DeepLearning.AI
课程
多位教师
专项课程
DeepLearning.AI
课程
IBM
课程
DeepLearning.AI
课程
EDUCBA
课程
Packt
专项课程
专项课程
课程
在整个课程(说明和评估)中使用的语言。
您将获得的技能: Feature Engineering, SAS (Software), Classification And Regression Tree (CART), Predictive Modeling, Statistical Modeling, Regression Analysis, Predictive Analytics, Applied Machine Learning, Statistical Methods, Data Processing, Data Manipulation, Data Cleansing, Data Transformation, Statistical Analysis, Exploratory Data Analysis
混合 · 课程 · 1-4 周
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
混合 · 课程 · 1-4 周
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)
初级 · 专项课程 · 1-3 个月
Duke University
您将获得的技能: 机器学习, 用户体验设计, 数据科学, 技术管理, 分类与回归树 (CART), MLOps(机器学习 Operator), 数据伦理, 回归分析, 无监督学习, 数据质量, 人机交互, 负责任的人工智能, 数据管理, 以人为本的设计, 应用机器学习, 项目管理, 产品管理, 产品设计, 人为因素, 深度学习
初级 · 专项课程 · 3-6 个月
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
混合 · 课程 · 1-4 周
您将获得的技能: Predictive Modeling, R Programming, Feature Engineering, Statistical Modeling, Risk Modeling, Classification And Regression Tree (CART), Regression Analysis, Predictive Analytics, Machine Learning Methods, Data Processing, Supervised Learning, Performance Measurement, Credit Risk, Dimensionality Reduction
混合 · 课程 · 1-4 周
您将获得的技能: PySpark, Apache Spark, MySQL, Data Pipelines, Scala Programming, Extract, Transform, Load, Customer Analysis, Apache Hadoop, Classification And Regression Tree (CART), Predictive Modeling, Applied Machine Learning, Data Processing, Advanced Analytics, Big Data, Apache Maven, Statistical Machine Learning, Unsupervised Learning, SQL, Apache, Python Programming
初级 · 专项课程 · 1-3 个月
DeepLearning.AI
您将获得的技能: 机器学习, 人工智能, 预测建模, 分类与回归树 (CART), 监督学习, 数据转换, 回归分析, 统计建模, NumPy, 应用机器学习, Python 程序设计, Jupyter, 功能工程, Scikit-learn (机器学习库)
初级 · 课程 · 1-4 周
您将获得的技能: Tensorflow, Artificial Neural Networks, Keras (Neural Network Library), Deep Learning, Time Series Analysis and Forecasting, Image Analysis, Natural Language Processing, Computer Vision, Forecasting, Classification And Regression Tree (CART), Supervised Learning, Machine Learning, Text Mining, Predictive Analytics, NumPy, Network Architecture, Data Processing, Data Science
中级 · 专项课程 · 1-3 个月
IBM
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)
中级 · 课程 · 1-3 个月
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
高级设置 · 课程 · 1-3 个月
您将获得的技能: PySpark, Apache Spark, Classification And Regression Tree (CART), Predictive Modeling, Applied Machine Learning, Statistical Machine Learning, Unsupervised Learning, Predictive Analytics, Random Forest Algorithm, Regression Analysis, Machine Learning Algorithms, Supervised Learning, Data Pipelines
混合 · 课程 · 1-4 周