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: 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

Johns Hopkins University
您将获得的技能: 探索性数据分析, 统计分析, 统计建模, 机器学习, 交互式数据可视化, 概率与统计, Rmarkdown, 统计推理, 统计机器学习, 机器学习算法, 回归分析, R 语言程序设计(中文版), 预测建模, 统计假设检验, Plotly, 数据可视化, 闪亮(R 套件), GitHub, 数据展示, 模型评估
中级 · 专项课程 · 3-6 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: 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: Google Cloud Platform, Model Deployment, MLOps (Machine Learning Operations), Tensorflow, Systems Architecture, Performance Tuning, Machine Learning, Model Evaluation, Distributed Computing, Scalability, Hybrid Cloud Computing, Data Pipelines, Data Processing, Debugging
高级设置 · 课程 · 1-3 个月

Pearson
您将获得的技能: MLOps (Machine Learning Operations), Model Deployment, AWS SageMaker, CI/CD, Data Management, Cloud Deployment, Model Evaluation, Data Preprocessing, Machine Learning, Automation, Data Pipelines, Continuous Monitoring
中级 · 课程 · 1-4 周

Edge Impulse
您将获得的技能: Python 程序设计, 数据预处理, 模型部署, 机器学习, 计算机编程, 嵌入式系统, 人工神经网络, 迁移学习, 数据伦理, 卷积神经网络, 应用机器学习, 模型评估, 人工智能和机器学习(AI/ML), 计算机视觉, 深度学习, 图像分析
中级 · 课程 · 1-4 周

您将获得的技能: Model Deployment, Exploratory Data Analysis, Model Evaluation, Cloud Deployment, Data Preprocessing, Data Analysis, Amazon Elastic Compute Cloud, Application Deployment, Predictive Modeling, Data Pipelines, Extract, Transform, Load, Data Processing
中级 · 课程 · 1-4 周

The University of Tokyo
您将获得的技能: Language Competency, Vocabulary, Oral Comprehension, Grammar, Language Learning, Literacy, Engineering Documentation, Science and Research, Materials science
中级 · 课程 · 1-3 个月

您将获得的技能: Sampling (Statistics), Data Mining, Statistical Hypothesis Testing, Probability, Linear Algebra, Statistical Analysis, Statistical Inference, Data Analysis, Probability Distribution, Statistics, Machine Learning Algorithms, Machine Learning, Python Programming
混合 · 课程 · 1-4 周

Stanford University
您将获得的技能: 负责任的人工智能, 数据预处理, 卫生政策, 机器学习, 人工神经网络, 医疗保健行业知识, 医疗保健伦理, 机器学习算法, 卷积神经网络, 人工智能和机器学习(AI/ML), 模型评估, 应用机器学习, 数据伦理, 深度学习, 强化学习
初级 · 课程 · 1-3 个月

IBM
您将获得的技能: Python 程序设计, 数据管道, 数据预处理, 模型部署, 机器学习, PyTorch(机器学习库), 视觉转换器(ViT), 卷积神经网络, 迁移学习, 计算机视觉, Keras(神经网络库), 深度学习, 模型评估, 地理空间信息与技术
高级设置 · 课程 · 1-4 周