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。

您将获得的技能: Interactive Learning, Education Software and Technology, End User Training and Support, Virtual Environment
初级 · 指导项目 · 不超过 2 小时

University of Michigan
您将获得的技能: Unsupervised Learning, Embeddings, Supervised Learning, Data Preprocessing, Python Programming, Exploratory Data Analysis
高级设置 · 课程 · 1-4 周

Coursera
您将获得的技能: Exploratory Data Analysis, Model Evaluation, Data Collection, Model Deployment, Data Ethics, MLOps (Machine Learning Operations), Feature Engineering, Data Cleansing, Responsible AI, Applied Machine Learning, Data Analysis, Solution Design, Statistical Analysis, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Predictive Modeling, Application Deployment, Generative AI, Data Preprocessing, Cloud Deployment
中级 · 课程 · 1-3 个月

LearnQuest
您将获得的技能: 系统监控, 用户账户, 软件包和软件管理, 公钥基础设施, Linux, Linux 管理, Linux 命令, 文件系统, 命令行界面, 文件管理, Devops, Operating System 管理, 乌班图, Git(版本控制系统), Virtual Private Networks(VPN), 版本控制, Linux 服务器, 云计算架构, 入侵检测和防御, 防火墙
初级 · 专项课程 · 3-6 个月

Universidades Anáhuac
您将获得的技能: Predictive Modeling, Model Evaluation, Time Series Analysis and Forecasting, Statistical Modeling, Data Modeling, Forecasting, Supervised Learning, Regression Analysis, Feature Engineering, Scikit Learn (Machine Learning Library), Data Preprocessing, Unsupervised Learning, Machine Learning, Logistic Regression, Classification Algorithms
中级 · 课程 · 1-4 周

Duke University
您将获得的技能: 数据科学, Algorithm, 无监督学习, 机器学习, 监督学习, 决策树学习, 预测分析, 逻辑回归, 回归分析, 分类与回归树 (CART), 卷积神经网络, 计算机视觉, 模型评估, 自然语言处理, 人工智能和机器学习(AI/ML), 深度学习, 随机森林算法
中级 · 课程 · 1-3 个月

您将获得的技能: Model Evaluation, Applied Machine Learning, Data Preprocessing, Supervised Learning, Machine Learning, Pandas (Python Package), Machine Learning Algorithms, Unsupervised Learning, Feature Engineering, Taxonomy, Data Analysis, Artificial Intelligence, Deep Learning
中级 · 课程 · 1-3 个月

Google Cloud
您将获得的技能: 模型部署, 监督学习, 时间序列分析和预测, 机器学习, Machine Learning 方法, 金融交易, 财务预测, 预测建模, 云平台, 统计机器学习, 机器学习算法, 技术分析, 人工神经网络, 应用机器学习, 金融, 人工智能和机器学习(AI/ML), 证券交易, 深度学习, Google 云端平台, 模型评估
中级 · 课程 · 1-4 周

您将获得的技能: Feature Engineering, Deep Learning, PyTorch (Machine Learning Library), Convolutional Neural Networks, Natural Language Processing, Data Preprocessing, Artificial Neural Networks, Transfer Learning, Recurrent Neural Networks (RNNs), Artificial Intelligence, Computer Vision, Jupyter, Predictive Modeling, Machine Learning, Model Evaluation, Data Transformation
混合 · 课程 · 1-3 个月

您将获得的技能: Dimensionality Reduction, Unsupervised Learning, Deep Learning, Model Evaluation, Machine Learning Algorithms, Applied Machine Learning, Random Forest Algorithm, Feature Engineering, Artificial Neural Networks, Supervised Learning, Statistical Machine Learning, Anomaly Detection, Classification Algorithms, Performance Tuning
中级 · 课程 · 1-3 个月
Sungkyunkwan University
您将获得的技能: Data Processing, Data Preprocessing, Portfolio Management, Investment Management, Classification And Regression Tree (CART), Statistical Machine Learning, Investments, Machine Learning Algorithms, Applied Machine Learning, R Programming, Feature Engineering, Machine Learning, Financial Modeling, Model Evaluation, Supervised Learning, Asset Management
中级 · 课程 · 1-4 周

您将获得的技能: Supervised Learning, Data Modeling, Unsupervised Learning, Applied Machine Learning, Data Analysis, Regression Analysis, Classification Algorithms, Classification And Regression Tree (CART), Machine Learning Algorithms, Machine Learning, Decision Tree Learning, Predictive Analytics, Logistic Regression, Random Forest Algorithm, Bayesian Statistics
初级 · 课程 · 1-4 周