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: Apache Mahout, NoSQL, Big Data, Databases, Real Time Data, Scalability, Distributed Computing, Data Persistence, Database Architecture and Administration, Model Evaluation, Data Integrity, Unstructured Data, Machine Learning Algorithms, Classification Algorithms
混合 · 课程 · 1-4 周

您将获得的技能: Unsupervised Learning, SPSS, Applied Machine Learning, Machine Learning, Data Preprocessing, Machine Learning Algorithms, Statistical Analysis, Model Evaluation, Data Analysis, Statistical Methods, Data Visualization
混合 · 课程 · 1-4 周

Real Madrid Graduate School Universidad Europea
您将获得的技能: Precision Medicine, Sports Medicine, Athletic Training, Rehabilitation, Responsible AI, Data Ethics, Injury Prevention, Augmented and Virtual Reality (AR/VR), AI Personalization, Health Systems, Exercise Science, Health Technology, Artificial Intelligence, Emerging Technologies, Healthcare Ethics, Machine Learning, Human Machine Interfaces, Predictive Modeling, Risk Management, Real Time Data
初级 · 课程 · 1-4 周

您将获得的技能: Keras (Neural Network Library), Tensorflow, Convolutional Neural Networks, Deep Learning, Machine Learning, Computer Vision
中级 · 指导项目 · 不超过 2 小时

IBM
您将获得的技能: AI 产品战略, 大型语言模型, Prompt Engineering, 拥抱的脸, 数据伦理, 生成式人工智能, 商业道德, 法律风险, 负责任的人工智能, 原型设计, ChatGPT, 生成模型架构, 领导与管理, IBM 云, 提示模式, 战略领导力, 业务领导, OpenAI, AI 赋能, 模型部署
初级 · 专项课程 · 3-6 个月

您将获得的技能: Model Deployment, PyTorch (Machine Learning Library), Recurrent Neural Networks (RNNs), Artificial Intelligence, Applied Machine Learning, Artificial Neural Networks, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Machine Learning, Natural Language Processing, Supervised Learning, Network Architecture, Data Science
初级 · 课程 · 1-4 周

Coursera
您将获得的技能: MLOps (Machine Learning Operations), Model Deployment, Anomaly Detection, Model Evaluation, Dashboard, CI/CD, Data Visualization, DevOps, Continuous Monitoring, Data-Driven Decision-Making, Performance Analysis, Key Performance Indicators (KPIs), Statistical Analysis, Performance Tuning, Data Processing, Artificial Intelligence and Machine Learning (AI/ML), Real Time Data, Automation, Agentic systems, Version Control
中级 · 专项课程 · 3-6 个月

The Hong Kong University of Science and Technology
您将获得的技能: 工程计算, 算术, 工程分析, 计算逻辑, 应用数学, 代数, 线性代数, 普通数学, 高等数学
初级 · 课程 · 1-4 周

您将获得的技能: Responsible AI, Generative AI, Generative Model Architectures, LLM Application, Prompt Engineering, ChatGPT, AI Enablement, AI Security, Cloud Development, AI Workflows, Data Ethics, Real Time Data, Large Language Modeling, Model Deployment, Cloud Computing Architecture, Artificial Intelligence, MLOps (Machine Learning Operations), Deep Learning, Scalability, System Monitoring
初级 · 课程 · 1-3 个月

IBM
您将获得的技能: 数据库管理员, IBM Cognos 分析, Apache Spark, 数据导入/导出, Linux 命令, 专业网络, 数据存储, 数据科学, Python 程序设计, MySQL, 数据仓库, 生成式人工智能, 数据分析, 网页抓取, SQL, NoSQL, 数据库设计, 摘录, Apache Hadoop, 阿帕奇气流
攻读学位
初级 · 专业证书 · 3-6 个月

Google Cloud
您将获得的技能: 张力流, 机器学习, MLOps(机器学习 Operator), 数据管道, 应用机器学习, Google 云端平台, 模型部署
中级 · 项目 · 不超过 2 小时

Google Cloud
您将获得的技能: Cloud Infrastructure, Identity and Access Management, Google Cloud Platform, Prompt Engineering, Application Deployment, Cloud Storage, Kubernetes, Infrastructure As A Service (IaaS), Containerization, Cloud Deployment, Cloud Computing, CI/CD, Cloud-Native Computing, Terraform, Cloud Applications, Cloud Computing Architecture, Cloud Security, Cloud Services, Load Balancing, Service Level Agreement
中级 · 专项课程 · 3-6 个月