混合式学习课程可以帮助您学习教学设计、有效的评估策略以及整合在线和面对面教学的技巧。您可以培养创造引人入胜的学习体验、利用多媒体资源和促进学生之间合作的技能。许多课程都会介绍学习管理系统(LMS)、视频会议软件和互动平台等工具,展示这些技术如何增强混合式学习环境并支持多样化的学习需求。

Cleveland Clinic
您将获得的技能: Machine Learning Methods, Machine Learning, Machine Learning Algorithms, Healthcare Industry Knowledge, Health Informatics, Applied Machine Learning, Clinical Informatics, Health Care, Supervised Learning, Clinical Experience, Emerging Technologies, Artificial Intelligence, Reinforcement Learning, Data-Driven Decision-Making, Data Science
初级 · 课程 · 1-4 周

Board Infinity
您将获得的技能: Classification Algorithms, Data Preprocessing, Model Deployment, Model Evaluation, Decision Tree Learning, Regression Analysis, Logistic Regression
初级 · 课程 · 1-4 周

您将获得的技能: AWS SageMaker, Model Evaluation, Applied Machine Learning, Classification Algorithms, Amazon Web Services, Machine Learning Methods, Predictive Modeling, Machine Learning, Python Programming
中级 · 指导项目 · 不超过 2 小时

Alberta Machine Intelligence Institute
您将获得的技能: 数据伦理, MLOps(机器学习 Operator), 数据清理, 机器学习, 机器学习算法, 数据预处理, Data Validation, 监督学习, 数据质量, 产品生命周期管理, 分类算法, 模型部署, 功能工程, 决策树学习, 应用机器学习, Jupyter, 业务运营, 模型评估, 项目管理, 负责任的人工智能
中级 · 专项课程 · 3-6 个月

您将获得的技能: Matplotlib, Data Preprocessing, Regression Analysis, Scikit Learn (Machine Learning Library), Data Visualization, Python Programming, Applied Machine Learning, Pandas (Python Package), Model Evaluation, NumPy, Predictive Modeling, Machine Learning Algorithms, Machine Learning, Data Manipulation, Dimensionality Reduction, Statistical Methods, Data Transformation, Feature Engineering, Unsupervised Learning, Performance Tuning
混合 · 课程 · 1-4 周

您将获得的技能: Model Evaluation, Responsible AI, Exploratory Data Analysis, Predictive Modeling, Data Visualization, Machine Learning, Policy Analysis, Statistical Methods, Data Science, Data Ethics, Development Environment, Software Engineering
初级 · 指导项目 · 不超过 2 小时

Dartmouth College
您将获得的技能: Supervised Learning, Bayesian Network, Logistic Regression, Artificial Neural Networks, Machine Learning Methods, Statistical Modeling, Predictive Modeling, Model Evaluation, Statistical Machine Learning, Probability & Statistics, Bayesian Statistics, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Machine Learning Algorithms, Statistical Methods, Artificial Intelligence, Regression Analysis, Classification Algorithms, Statistical Inference
攻读学位
中级 · 专项课程 · 3-6 个月

您将获得的技能: Artificial Intelligence, Bayesian Network, Applied Machine Learning, Computational Logic, Machine Learning, Unsupervised Learning, Bayesian Statistics, Artificial Neural Networks, Reinforcement Learning, Markov Model, Algorithms, Probability & Statistics, Decision Making
混合 · 课程 · 1-3 个月

Simplilearn
您将获得的技能: Reinforcement Learning, Model Evaluation
初级 · 课程 · 1-4 周

Microsoft
您将获得的技能: 探索性数据分析, 微软 Azure, MLOps(机器学习 Operator), 卷积神经网络, 机器学习, Scikit-learn (机器学习库), 数据分析, 回归分析, 人工智能和机器学习(AI/ML), 分类算法, 无监督学习, 迁移学习, 深度学习, PyTorch(机器学习库), 应用机器学习, 数据科学, 张力流, 图像分析, 数据可视化, 预测建模
中级 · 课程 · 1-4 周

您将获得的技能: Model Evaluation, Classification Algorithms, Reinforcement Learning, Applied Machine Learning, Artificial Intelligence, Dimensionality Reduction, Statistical Analysis, Supervised Learning, Unsupervised Learning, Random Forest Algorithm, Feature Engineering, Logistic Regression, Data Manipulation
中级 · 课程 · 3-6 个月

Google Cloud
您将获得的技能: MLOps (Machine Learning Operations), Data Management, Data Governance, Enterprise Modeling, Model Deployment, AI Workflows, Google Cloud Platform, Predictive Modeling, Applied Machine Learning, Machine Learning, Data Pipelines, Model Evaluation
中级 · 课程 · 1-3 个月