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École Polytechnique
您将获得的技能: 新兴技术, 物理学, 工程学, 电磁学, 密码学, 实验室研究, 实验, 应用数学
状态：免费试用University of Michigan
您将获得的技能: 大数据, 投资组合管理, 财富管理, 金融科技, 投资, 人工神经网络, 投资管理, 金融交易, 资产管理, 机器学习, 人工智能, 自动化, 金融市场
状态：预览Google Cloud
您将获得的技能: Generative AI, Generative Model Architectures, Prompt Engineering Tools, Deep Learning, Machine Learning
状态：免费试用University of Michigan
您将获得的技能: Generative AI, Model Evaluation, Data Ethics, Data Analysis, Data-Driven Decision-Making, Data Literacy, AI Enablement, Artificial Intelligence, Big Data, Machine Learning, Social Impact
The University of Edinburgh
您将获得的技能: 一般科学与研究, 道德标准与行为, 研究, 科学方法, 文化多样性, 护理, 生物学, 应用行为分析, 行为管理, 非语言交流
状态：免费试用状态：人工智能技能Amazon Web Services
您将获得的技能: 集装箱化, 云计算, 云安全, 云计算架构, 亚马逊弹性计算云 Computing, 云基础设施, 云存储, 无服务器计算, 亚马逊 DynamoDB, 通用网络, AWS 身份和访问管理 (IAM), 亚马逊云观察, 亚马逊 S3, 可扩展性, 亚马逊网络服务, 虚拟网络化, 数据库
状态：新状态：预览您将获得的技能: OpenAI API, LLM Application, Vector Databases, Generative AI Agents, Tool Calling, Embeddings, Retrieval-Augmented Generation, Prompt Patterns, Artificial Intelligence and Machine Learning (AI/ML), Generative AI, Prompt Engineering, Agentic systems, Large Language Modeling, TypeScript, Responsible AI, Software Development, Real Time Data, Web Scraping, Software Design Patterns
状态：新您将获得的技能: Educational Materials, Learning Management Systems, Instructional Design, Animation and Game Design, Interaction Design, Graphic and Visual Design, Design Elements And Principles
状态：免费试用Imperial College London
您将获得的技能: 健康教育, 环境、健康和安全, 公共卫生与疾病预防, 卫生政策, 医疗保健伦理, 流行病学, 计划评估, 健康的社会决定因素, 微生物学, 传染病, 健康差异, 行为经济学, 健康评估, 情报收集与分析, 环境卫生, 公共卫生, 健康促进, 应用行为分析, 预防保健, 健康公平
您将获得的技能: Data Preprocessing, Deep Learning, Artificial Neural Networks, Logistic Regression, Data Cleansing, Artificial Intelligence and Machine Learning (AI/ML), Python Programming, Model Evaluation, Network Architecture, Machine Learning Algorithms, NumPy, Pandas (Python Package), Performance Tuning
状态：新状态：免费试用您将获得的技能: Model Context Protocol, OpenAI API, Retrieval-Augmented Generation, OpenAI, Generative AI Agents, Embeddings, ChatGPT, Agentic systems, Vector Databases, Generative AI, Artificial Intelligence, Context Management, Model Evaluation, Application Programming Interface (API), Python Programming, Application Deployment
状态：免费试用您将获得的技能: Model Deployment, Google Cloud Platform, Real Time Data, Data Lakes, Dataflow, Extract, Transform, Load, Data Warehousing, Data Preprocessing, Tensorflow, Data Pipelines, Big Data, Data Governance, Data Migration, Feature Engineering, Data Quality, Data Architecture, Dashboard, Data Processing, Apache Spark, Applied Machine Learning
总之，以下是 10 最受欢迎的 applied machine learning 课程
- 量子光学 1：单光子: École Polytechnique
- 投资技术的创新：人工智能: University of Michigan
- Introduction to Generative AI - Español: Google Cloud
- Decoding AI: A Deep Dive into AI Models and Predictions: University of Michigan
- 猫狗的真相: The University of Edinburgh
- AWS 云技术要点: Amazon Web Services
- Build a Support Agent with Vercel AI SDK: Scrimba
- Create eLearning Courses with Articulate Storyline 360: Packt
- 公共卫生实践基础: Imperial College London
- Deep Neural Network for Beginners Using Python: Packt
