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。

高级设置 · 课程

Coursera
您将获得的技能: Responsible AI, Data Ethics, Model Evaluation, Governance, Multimodal Prompts, AI Enablement, Generative AI, Model Deployment, Artificial Intelligence and Machine Learning (AI/ML)
中级 · 课程 · 1-4 周
University of Illinois at Urbana-Champaign
获得学位
学位 · 1-4 年

Google Cloud
您将获得的技能: Dataflow, Apache Kafka, Google Cloud Platform, Data Pipelines, Real Time Data, Cloud Services, Big Data, Managed Services, Data Processing, Analytics, Extract, Transform, Load, Artificial Intelligence and Machine Learning (AI/ML)
中级 · 课程 · 1-4 周
University of London
您将获得的技能: Virtual Reality, Game Design, Full-Stack Web Development, Mobile Development, Human Computer Interaction, Agile Software Development, Animations, Data Ethics, Event-Driven Programming, Git (Version Control System), Web Applications, Incident Response, Data Science, Natural Language Processing, Unsupervised Learning, Combinatorics, Database Design, Web Development, Generative AI, Usability Testing
获得学位
学位 · 1-4 年

Universidad de los Andes
您将获得的技能: Real-Time Operating Systems, Semantic Web, Supervised Learning, LangChain, Unsupervised Learning, Reinforcement Learning, Cloud-Native Computing, Computer Vision, Natural Language Processing, Classification Algorithms, Site Reliability Engineering, Biomedical Engineering, Artificial Intelligence, Project Risk Management, Generative AI, Model Deployment, Probability & Statistics, Control Systems, Data Ethics, Generative Adversarial Networks (GANs)
获得学位
学位 · 1-4 年