
Johns Hopkins University
您将获得的技能: 回归分析, 机器学习, 监督学习, 决策树学习, 数据处理, 机器学习算法, 预测建模, 数据收集, 应用机器学习, 随机森林算法, R 语言程序设计(中文版), 统计机器学习, 功能工程, 分类与回归树 (CART)
混合 · 课程 · 1-4 周

您将获得的技能: Data Science, Unsupervised Learning, Exploratory Data Analysis, Probability & Statistics, Machine Learning Algorithms, Applied Machine Learning, Classification And Regression Tree (CART), Data Analysis, Python Programming, Random Forest Algorithm, Dimensionality Reduction, Predictive Modeling, NumPy, Regression Analysis, Statistical Analysis, Data Processing, Deep Learning, Pandas (Python Package), Data Visualization, Data Manipulation
中级 · 专项课程 · 3-6 个月

Amazon Web Services
您将获得的技能: Applied Machine Learning, Machine Learning, MLOps (Machine Learning Operations), Technology Roadmaps, Data-Driven Decision-Making, Artificial Intelligence and Machine Learning (AI/ML), Business Analytics, Business Solutions, Organizational Strategy, AI Product Strategy, Organizational Change, Feasibility Studies, System Requirements, Solution Design
初级 · 课程 · 1-4 周

您将获得的技能: Predictive Modeling, Responsible AI, Predictive Analytics, Machine Learning, Data Ethics, MLOps (Machine Learning Operations), Applied Machine Learning, Data-Driven Decision-Making, Statistical Modeling, Performance Measurement, Supervised Learning, Business Ethics, Decision Tree Learning, Artificial Intelligence and Machine Learning (AI/ML), Leadership and Management, Business Analytics, Data Science, Machine Learning Algorithms, Artificial Intelligence, Data Processing
初级 · 专项课程 · 3-6 个月

您将获得的技能: MLOps (Machine Learning Operations), Google Cloud Platform, DevOps, Cloud Management, Continuous Deployment, Machine Learning Methods, Applied Machine Learning, Automation, Data Processing, Scalability
中级 · 课程 · 1-4 周

University of Washington
您将获得的技能: 贝叶斯统计, 回归分析, 机器学习, 监督学习, 无监督学习, 文本挖掘, 机器学习算法, 计算机视觉, 深度学习, 预测建模, 功能工程, 人工智能, 统计机器学习, 大数据, 图像分析, 统计建模, 预测分析, 数据挖掘, 分类与回归树 (CART), 应用机器学习
中级 · 专项课程 · 3-6 个月

DeepLearning.AI
您将获得的技能: 决策树学习, 机器学习, 监督学习, 深度学习, 数据伦理, 负责任的人工智能, 张力流, 随机森林算法, 人工神经网络, 性能调整, 分类与回归树 (CART)
初级 · 课程 · 1-4 周

您将获得的技能: Applied Machine Learning, Classification And Regression Tree (CART), Predictive Modeling, Microsoft Azure, No-Code Development, Machine Learning, Feature Engineering, Data Pipelines, Data Science, Data Analysis, Data Processing, Application Deployment
初级 · 指导项目 · 不超过 2 小时

The University of Chicago
您将获得的技能: 回归分析, 决策树学习, 机器学习, 无监督学习, 监督学习, 机器学习算法, 深度学习, 降维, 随机森林算法, 统计方法, Pandas(Python 软件包), 人工神经网络, Scikit-learn (机器学习库), 张力流, 功能工程, 分类与回归树 (CART), 应用机器学习
中级 · 课程 · 1-3 个月

您将获得的技能: MLOps (Machine Learning Operations), Google Cloud Platform, DevOps, Applied Machine Learning, Continuous Deployment, Automation, Continuous Integration, Continuous Monitoring, Scalability, Data Management
中级 · 课程 · 1-4 周

您将获得的技能: MLOps (Machine Learning Operations), Google Cloud Platform, DevOps, Application Lifecycle Management, Applied Machine Learning, Continuous Deployment, Machine Learning, Automation, Continuous Integration, Containerization, Data Processing
中级 · 课程 · 1-4 周

Google Cloud
您将获得的技能: MLOps (Machine Learning Operations), Google Cloud Platform, Feature Engineering, Data Modeling, Data Management, Continuous Deployment, Data Processing, Data Storage, Data Import/Export
中级 · 课程 · 1-4 周