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。

Microsoft
您将获得的技能: 机器学习, 负责任的人工智能, 计算机视觉, 预测建模, MLOps(机器学习 Operator), 分类算法, 异常检测, 数据伦理, 无代码开发, 微软 Azure, AI 赋能, 回归分析, 模型部署, 无监督学习, 应用机器学习, 自然语言处理, 人工智能, 人工智能和机器学习(AI/ML), AI 工作流程, 图像分析
初级 · 专项课程 · 3-6 个月

DeepLearning.AI
您将获得的技能: 迁移学习, 递归神经网络 (RNN), 人工神经网络, 拥抱的脸, 自然语言处理, 嵌入, 深度学习
中级 · 课程 · 1-4 周
Johns Hopkins University
您将获得的技能: 机器学习, 探索性数据分析, 数据科学, 预测建模, R 语言程序设计(中文版), 统计分析, 统计推理, 统计假设检验, 机器学习算法, 绘图(图形), Plotly, 版本控制, 数据清理, Rmarkdown, 闪亮(R 套件), 数据操作, 回归分析, GitHub, 模型评估, 交互式数据可视化
初级 · 专项课程 · 3-6 个月
University of Illinois Urbana-Champaign
您将获得的技能: Generative AI, Generative Adversarial Networks (GANs), Applied Machine Learning, Deep Learning, Responsible AI, Machine Learning Methods, Artificial Intelligence, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Machine Learning Algorithms, Artificial Neural Networks, Convolutional Neural Networks, Regression Analysis, Classification Algorithms, Business Ethics, Governance
攻读学位
初级 · 课程 · 1-4 周
Stanford University
您将获得的技能: 机器学习算法, 统计推理, 贝叶斯网络, 图论, 概率与统计, Algorithm, 计算思维, 应用机器学习, 马尔可夫模型, Machine Learning 方法, 统计方法, 概率分布, 抽样(统计)
高级设置 · 课程 · 1-3 个月

Alberta Machine Intelligence Institute
您将获得的技能: Data Ethics, Machine Learning, Applied Machine Learning, Data Preprocessing, Business Priorities, Training Records Management, Product Lifecycle Management, Machine Learning Methods, Data Collection, AI Enablement, Business Process, Case Studies
中级 · 课程 · 1-4 周

您将获得的技能: Recurrent Neural Networks (RNNs), Tensorflow, Python Programming, Natural Language Processing, Data Preprocessing, Applied Machine Learning, Text Mining, Machine Learning Algorithms, Deep Learning, Classification Algorithms, Machine Learning
中级 · 指导项目 · 不超过 2 小时

AI CERTs
您将获得的技能: AI Personalization, Applied Machine Learning, Model Evaluation
中级 · 课程 · 1-3 个月

Amazon Web Services
您将获得的技能: AWS SageMaker, Generative AI, Data Lakes, Data Governance, Data Architecture, Data Management, SQL, Applied Machine Learning
初级 · 课程 · 1-4 周
您将获得的技能: Generative AI, Retrieval-Augmented Generation, Large Language Modeling, Responsible AI, Data Ethics, Generative Adversarial Networks (GANs), Agentic systems, AI Security, Discussion Facilitation, Business Ethics, Embeddings, Regulatory Compliance, Case Studies, Data Synthesis, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, SAS (Software), AI Workflows, Analytics, Machine Learning
初级 · 专项课程 · 3-6 个月

University of Minnesota
您将获得的技能: 机器学习, 机器学习算法, 线性代数, Algorithm, 降维, 模型评估, 应用机器学习
混合 · 课程 · 1-3 个月

LearnQuest
您将获得的技能: AI Workflows, Technical Communication, AI Enablement, Model Deployment, Generative AI Agents, Data Integration, AI Orchestration, Reinforcement Learning, Artificial Intelligence and Machine Learning (AI/ML), Agentic systems, Responsible AI, Artificial Intelligence, Cloud Computing, Deep Learning, Data Visualization, Python Programming, Machine Learning, Data Engineering, Anomaly Detection, Statistical Analysis
初级 · 专项课程 · 1-3 个月