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。

IBM
您将获得的技能: 原型设计, Prompt Engineering, 负责任的人工智能, 测试自动化, 自然语言处理, CI/CD, ChatGPT, 大型语言模型, 生成式人工智能, 软件开发工具, DevSecOps, AI 工作流程, 软件测试, 人工智能, 人工智能和机器学习(AI/ML), AI 安全, 提示模式, 软件工程, 深度学习, 软件开发
中级 · 专项课程 · 1-3 个月

LearnQuest
您将获得的技能: Reinforcement Learning, Responsible AI, Agentic systems, Artificial Intelligence, Machine Learning Methods, Distributed Computing, Simulations, Transfer Learning
初级 · 课程 · 1-4 周

您将获得的技能: Model Evaluation, Keras (Neural Network Library), Deep Learning, Convolutional Neural Networks, Image Analysis, Tensorflow, Computer Vision, Transfer Learning, Applied Machine Learning, Machine Learning, Data Preprocessing, Python Programming
中级 · 指导项目 · 不超过 2 小时

您将获得的技能: Model Deployment, Data Preprocessing, Applied Machine Learning, Machine Learning Methods, Machine Learning, Predictive Modeling, Feature Engineering, Data Pipelines, Data Transformation, Data Science, Python Programming, Regression Analysis
中级 · 指导项目 · 不超过 2 小时

您将获得的技能: AWS SageMaker, AWS Identity and Access Management (IAM), Amazon Web Services, Model Deployment, Image Analysis, Amazon Elastic Compute Cloud, Amazon S3, Machine Learning Algorithms, Data Preprocessing, Convolutional Neural Networks, Computer Vision, Deep Learning, Machine Learning
高级设置 · 指导项目 · 不超过 2 小时

您将获得的技能: PyTorch (Machine Learning Library), Recurrent Neural Networks (RNNs), Model Evaluation, Convolutional Neural Networks, Natural Language Processing, Deep Learning, Generative Adversarial Networks (GANs), Classification Algorithms, Transfer Learning, Applied Machine Learning, Vision Transformer (ViT), Image Analysis, Machine Learning, Computer Vision, Artificial Neural Networks, Artificial Intelligence, Unsupervised Learning, Python Programming, Embeddings, Data Preprocessing
中级 · 专项课程 · 3-6 个月
University of Washington
您将获得的技能: 数据分析, 机器学习算法, 分类算法, 高级分析, 统计方法, R 语言程序设计(中文版), 统计机器学习, 概率与统计, 大数据, 图论, 无监督学习, 机器学习, 预测分析, 统计推理, 统计分析, 监督学习
混合 · 课程 · 1-4 周

Fractal Analytics
您将获得的技能: 生成式人工智能, 批判性思维, MLOps(机器学习 Operator), 可扩展性, Google 云端平台, 机器学习, 云计算, 解决复杂问题, 用户界面(UI), AI 赋能, 模型部署, 人工智能
初级 · 课程 · 1-4 周

University of Pennsylvania
您将获得的技能: 数据驱动的决策制定, 人力资源, 负责任的人工智能, 留住员工, 区块链, 员工参与, 机器学习, 预测分析, 人力资源分析, 人工智能, 人力资源技术, 人员管理
混合 · 课程 · 1-4 周

您将获得的技能: Cloud Computing Architecture, Google Cloud Platform, Cloud Security, Cloud Computing, Digital Transformation, Application Programming Interface (API), Model Deployment, Public Cloud, Data Pipelines, Cloud Infrastructure, Artificial Intelligence and Machine Learning (AI/ML), Data Management, Virtualization and Virtual Machines, Microservices, Containerization, Machine Learning
初级 · 课程 · 1-3 个月
您将获得的技能: Embeddings, Model Deployment, MLOps (Machine Learning Operations), Model Evaluation, Data Cleansing, Anomaly Detection, Vector Databases, LLM Application, System Monitoring, Verification And Validation, Data Quality, Legal Technology, Semantic Web, E-Commerce, Data Validation, Unsupervised Learning, Data Manipulation, Benchmarking, Dimensionality Reduction, Cost Reduction
中级 · 课程 · 1-4 周
