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。

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, Applied Machine Learning, Data Analysis, Statistical Analysis, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Predictive Modeling, Generative AI, Data Preprocessing, Continuous Monitoring
中级 · 课程 · 1-3 个月

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

Google Cloud
您将获得的技能: Data Preprocessing, Model Evaluation, Applied Machine Learning, Big Data, Google Cloud Platform, Data Manipulation, Predictive Analytics, Machine Learning, Exploratory Data Analysis, SQL
初级 · 项目 · 不超过 2 小时

Johns Hopkins University
您将获得的技能: 概率与统计, 交互式数据可视化, 统计分析, 统计推理, GitHub, 统计建模, 数据展示, 统计假设检验, 机器学习, Plotly, 闪亮(R 套件), 统计机器学习, R 语言程序设计(中文版), 机器学习算法, 探索性数据分析, 数据可视化, 模型评估, Rmarkdown, 回归分析, 预测建模
中级 · 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

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
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: 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

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

您将获得的技能: Deep Learning, Tensorflow, Keras (Neural Network Library), Matplotlib, NumPy, Artificial Neural Networks, Python Programming, Pandas (Python Package), Data Science, Artificial Intelligence, Data Preprocessing, Machine Learning, Data Manipulation, Model Evaluation, Classification Algorithms
初级 · 课程 · 3-6 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

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