应用机器学习课程可以帮助您学习数据预处理、模型选择、Feature Engineering 和 Evaluation 指标。您可以掌握在实际环境中实施算法、优化性能和解释结果的技能。许多课程介绍 Python、TensorFlow 和 Scikit-learn 等工具,这些工具支持开发机器学习模型和应用 AI 技术解决实际问题。

您将获得的技能: Transfer Learning, Keras (Neural Network Library), Embeddings, Deep Learning, Image Analysis, Computer Vision, Natural Language Processing, Data Preprocessing
中级 · 课程 · 1-4 周

University of Michigan
您将获得的技能: Instructional Design, Learning Theory, User Experience Design, Design, Design Thinking, Disabilities, Education Software and Technology, Professional Development, Diversity Equity and Inclusion Initiatives, User Centered Design, Emerging Technologies
初级 · 课程 · 1-4 周

您将获得的技能: Large Language Modeling, Deep Learning, Data Preprocessing, Keras (Neural Network Library), Tensorflow, Python Programming, Artificial Intelligence and Machine Learning (AI/ML), Generative Model Architectures, Natural Language Processing
高级设置 · 课程 · 1-4 周

University of Michigan
您将获得的技能: Generative AI, Responsible AI, Prompt Engineering, Course Development, ChatGPT, Instructional Design, Education Software and Technology, Brainstorming, Design Strategies, Artificial Intelligence, Content Creation, Data Ethics, Creative Design, Emerging Technologies, Persona Development, Professional Development, digital literacy
初级 · 专项课程 · 1-3 个月

Johns Hopkins University
您将获得的技能: Cooperation, Interactive Learning, Education Software and Technology, Student Engagement, Pedagogy, Education and Training, Team Oriented, Instructional Strategies, Learning Theory, Student-Centred Learning, Collaboration, Teamwork, Drive Engagement, Classroom Management, Mathematics Education, Learning Management Systems, Creative Problem-Solving, Professional Development, Problem Solving, Project Design
初级 · 课程 · 1-3 个月

您将获得的技能: Data Preprocessing, Recurrent Neural Networks (RNNs), Data Manipulation, Data Transformation, Financial Forecasting, Model Evaluation, Data Visualization, Time Series Analysis and Forecasting, Exploratory Data Analysis, Keras (Neural Network Library), Deep Learning, Pandas (Python Package), NumPy
混合 · 课程 · 1-4 周

Commonwealth Education Trust
您将获得的技能: 课堂管理, 建立关系, 多样性意识, 社区外联, 家长沟通, 文化多样性, 道德标准与行为, 教学, 学生参与, 与儿童一起工作
混合 · 课程 · 1-3 个月

Universidades Anáhuac
您将获得的技能: Artificial Neural Networks, Keras (Neural Network Library), Deep Learning, Applied Machine Learning, Tensorflow, Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Image Analysis, Computer Vision, Model Evaluation, Python Programming
初级 · 课程 · 1-4 周

University of Pennsylvania
您将获得的技能: 决策, 创新, 团队绩效管理, 组织效能, 团队建设, 系统思考, 组织发展, 知识转让, 解决问题, 认知灵活性, 适应, 文化, 创造性思维
混合 · 课程 · 1-4 周

IBM
您将获得的技能: 风险缓解, 生成式人工智能, 机器人, 自然语言处理, 负责任的人工智能, 业务逻辑
初级 · 课程 · 1-4 周

您将获得的技能: Recurrent Neural Networks (RNNs), Model Deployment, Keras (Neural Network Library), Deep Learning, Tensorflow, Artificial Neural Networks, Convolutional Neural Networks, Application Frameworks, Artificial Intelligence, Machine Learning Methods, Image Analysis, Data Preprocessing
初级 · 课程 · 1-4 周

您将获得的技能: Virtual Machines, Microsoft Azure, Cloud Infrastructure, Cloud Computing, Network Security, Virtual Networking, Web Servers, Network Administration, Remote Access Systems, Ubuntu, Application Deployment
初级 · 指导项目 · 不超过 2 小时