应用机器学习课程
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。
热门应用机器学习课程和认证
状态：免费试用您将获得的技能: Amazon Elastic Compute Cloud, Amazon Web Services, Cloud Hosting, Front-End Web Development, React.js, Javascript, Web Development Tools, Full-Stack Web Development, Web Applications, Cloud Security, Hypertext Markup Language (HTML)
状态：免费试用University of Michigan
您将获得的技能: Generative AI, Prompt Engineering, Course Development, Instructional Design, Brainstorming, Design Strategies, Content Creation, Persona Development, Professional Development, digital literacy
状态：免费试用您将获得的技能: Transfer Learning, Keras (Neural Network Library), Embeddings, Deep Learning, Image Analysis, Computer Vision, Natural Language Processing, Data Preprocessing
状态：免费试用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
状态：免费试用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
Commonwealth Education Trust
您将获得的技能: 文化多样性, 课堂管理, 道德标准与行为, 学生参与, 家长沟通, 建立关系, 社区外联, 与儿童一起工作, 教学, 多样性意识
状态：预览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
状态：新状态：免费试用您将获得的技能: 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
状态：免费试用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
状态：免费试用University of Pennsylvania
您将获得的技能: 文化, 创造性思维, 知识转让, 系统思考, 决策, 创新, 组织发展, 解决问题, 认知灵活性, 团队绩效管理, 组织效能, 适应, 团队建设
状态：免费试用IBM
您将获得的技能: 负责任的人工智能, 自然语言处理, 业务逻辑, 生成式人工智能, 机器人, 风险缓解
状态：免费试用您将获得的技能: 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
总之，以下是 10 最受欢迎的 applied machine learning 课程
- ReactJS Development and Project-Based Learning: Packt
- Using Generative AI for Learning Design Activities : University of Michigan
- Deep Learning: Convolutional Neural Networks with TensorFlow: Packt
- Learning Experience Design: Orientation to the Profession: University of Michigan
- Generative AI as a Learning Design Partner: University of Michigan
- 为学习而教的基础发展关系: Commonwealth Education Trust
- Foundations for Active Learning in STEM Courses: Johns Hopkins University
- Deep Learning RNN & LSTM: Stock Price Prediction: EDUCBA
- Deep Learning: Del Concepto a la Práctica: Universidades Anáhuac
- 创建持续学习的团队文化: University of Pennsylvania
