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：预览Universidad Nacional de Colombia
您将获得的技能: Caregiving, Critical Thinking, Home Health Care, Complex Problem Solving, Case Studies, Patient-centered Care, Patient Observation, Chronic Diseases, Organizational Skills, Self-Awareness, Emotional Intelligence, Stress Management
您将获得的技能: Collaborative Software, Teaching, Education Software and Technology, Interactive Learning, User Accounts
状态：免费试用Deep Teaching Solutions
您将获得的技能: 学习理论, 课堂管理, 批判性思维, 备课, 教学法, 学习策略, 残疾, 差异化教学, 学生参与, 学习风格, 特殊教育, 教学策略, 压力管理
状态：预览Alfaisal University | KLD
您将获得的技能: Knowledge Transfer, Organizational Leadership, Willingness To Learn, Organizational Change, Organizational Effectiveness, Competitive Intelligence, Innovation, Employee Engagement, Learning Strategies, Market Share, Business Strategy, Case Studies
状态：预览University of Colorado Boulder
您将获得的技能: 环境问题, 培训培训师, 社区发展, 可持续发展, 计划评估, 增强能力, 数据映射, 主动性和领导力, 协作, 教育与培训, 社区外联, 社区组织, 同情心, 需求评估, 规划, 社会影响, 课程规划, 与儿童一起工作
状态：预览University of Illinois Urbana-Champaign
您将获得的技能: 高等教育, 媒体与传播, 口头表达, 扫盲, 数字扫盲, 文化多样性, 差异化教学, 学习风格, 写作, 教学策略, 教学, 数字教学法, 非语言交流, 多媒体
状态：免费试用您将获得的技能: Prompt Engineering, Exploratory Data Analysis, Prompt Patterns, LangChain, Large Language Modeling, Retrieval-Augmented Generation, Model Evaluation, Unsupervised Learning, Generative Model Architectures, PyTorch (Machine Learning Library), ChatGPT, Generative AI, Restful API, LLM Application, Keras (Neural Network Library), Data Transformation, Supervised Learning, Responsible AI, Vector Databases, Data Import/Export
您将获得的技能: Model Evaluation, Generative AI, Continuous Monitoring, Google Cloud Platform, Responsible AI, MLOps (Machine Learning Operations), Predictive Modeling
您将获得的技能: Collaborative Software, Education Software and Technology, Teaching, Content Creation
状态：免费Georgia Institute of Technology
您将获得的技能: 沟通, 人际沟通, 专业精神, 语言交流技能, 英语, 词汇
状态：预览DeepLearning.AI
您将获得的技能: Prompt Engineering, 大型语言模型, ChatGPT, 社会影响, 云应用, 生成式人工智能, AI 产品战略, 人工智能, AI 安全, 负责任的人工智能, 自动化
状态：预览École Polytechnique
您将获得的技能: Language Competency, Language Learning, Oral Comprehension, Grammar, Higher Education, Oral Expression, Intercultural Competence, Vocabulary, Lecturing, Writing
总之，以下是 10 最受欢迎的 applied machine learning 课程
- Learning from the experiences of caregivers with chronic conditions: Universidad Nacional de Colombia
- Crea contenido de e-learning con Canva para tus estudiantes: Coursera
- 常识教学：第二部分，建立社区和学习习惯: Deep Teaching Solutions
- كيفية بناء منظمة متعلمة|How to Build a Learning Organization: Alfaisal University | KLD
- 与珍-古道尔和《根与芽》一起通过服务学习培养富有同情心的领导力: University of Colorado Boulder
- 多模态文学：数字媒体时代的交流与学习: University of Illinois Urbana-Champaign
- IBM Generative AI Engineering: IBM
- MMachine Learning Operations (MLOps) with Vertex AI: Model Evaluation - 한국어: Google Cloud
- Créer du contenu e-learning pour vos étudiants avec Canva: Coursera
- 课程 | 小对话和会话词汇: Georgia Institute of Technology
