机器学习课程可以帮助您学习算法、数据预处理、模型 Evaluation 和神经网络。您可以掌握回归分析、分类技术和聚类方法方面的技能。许多课程都会介绍 Python、TensorFlow 和 Scikit-learn 等工具,展示如何在实际应用中使用这些技术来实施机器学习解决方案。

University of Pennsylvania
您将获得的技能: 个性化活动, 生成式人工智能, 大数据, 人力资源管理, 人力资源技术, 人工智能个性化, 人员分析, 机器学习, 分析, Data Management, Data Governance, 数据伦理, 人工智能赋能, 数据管理, 人工智能产品战略, 生成模型架构, 机器学习方法, 数据战略, 负责任的人工智能, 人力资源管理与规划, 欺诈检测
★ 4.7 (1883) · 初级 · 专项课程 · 3-6 个月

Vanderbilt University
您将获得的技能: Prompt Engineering, Prompt Patterns, ChatGPT, Retrieval-Augmented Generation, Generative AI Agents, AI Orchestration, AI powered creativity, Agentic Workflows, OpenAI API, LLM Application, Ideation, Verification And Validation, Generative AI, AI Workflows, AI literacy, OpenAI, Expense Management, Multimodal Prompts, AI Personalization, Software Development
★ 4.8 (1万) · 初级 · 专项课程 · 3-6 个月

University of California San Diego
您将获得的技能: 数据分析, 数据质量, 大数据, 分布式计算, 实时数据, 数据科学, 数据存储, 非结构化数据, 数据处理, Apache Hadoop, 可扩展性
★ 4.6 (1.1万) · 混合 · 课程 · 1-3 个月

您将获得的技能: Software Development Life Cycle, Cloud-Native Computing, Software Architecture, Hibernate (Java), Database Design, Responsive Web Design, Docker (Software), Containerization, Git (Version Control System), GitHub, Object Oriented Programming (OOP), CI/CD, Restful API, Data Ethics, Java Programming, Model Deployment, Version Control, Database Management, Software Development, Software Design
★ 4.6 (7645) · 初级 · 专业证书 · 3-6 个月

Meta
您将获得的技能: 代码重用性, 用户研究, 角色(用户体验), 移动开发, 数据结构, 交互设计, 科特林, Git(版本控制系统), Android Jetpack, 恢复性应用程序接口, 用户界面/用户体验研究, 可用性测试, React Native, Jest(JavaScript 测试框架), 安卓工作室, Javascript, 版本控制, GitHub, Unix 命令, 安卓开发
★ 4.6 (9239) · 初级 · 专业证书 · 3-6 个月

University of Maryland, College Park
您将获得的技能: Model Evaluation, Apache Hadoop, Machine Learning Methods, AI Personalization, Digital Marketing Tools, Data-Driven Marketing, Customer Analysis, Marketing Automation, Digital Marketing, Marketing Strategies, Applied Machine Learning, Big Data, Customer Insights, Machine Learning, Artificial Neural Networks, Machine Learning Algorithms, Deep Learning, Predictive Analytics
初级 · 课程 · 1-4 周

John Wiley & Sons
您将获得的技能: Supervised Learning, Statistical Methods, Exploratory Data Analysis, Data Preprocessing, Model Evaluation, Data Processing, Data Quality, Model Deployment, Data Transformation, Machine Learning Methods, Image Analysis, Statistics, Statistical Machine Learning, Data Analysis, Data Science, MLOps (Machine Learning Operations), Applied Machine Learning, Unsupervised Learning, Computer Vision, Machine Learning Algorithms
初级 · 专项课程 · 1-3 个月
Vanderbilt University
您将获得的技能: Prompt Engineering, ChatGPT, Generative AI Agents, Retrieval-Augmented Generation, Agentic Workflows, Prompt Patterns, AI Enablement, AI Workflows, AI Product Strategy, Generative AI, Prompt Engineering Tools, Multimodal Prompts, OpenAI, Agentic systems, AI Personalization, Thought Leadership, Artificial Intelligence and Machine Learning (AI/ML), Strategic Decision-Making, Responsible AI, Business Strategy
★ 4.8 (9713) · 初级 · 专项课程 · 3-6 个月

Meta
您将获得的技能: 角色(用户体验), 用户研究, 移动开发, 数据结构, Jest(JavaScript 测试框架), Git(版本控制系统), 恢复性应用程序接口, 用户界面/用户体验研究, 用户界面(UI), 版本控制, React Native, GitHub, 可用性测试, 苹果 Xcode, iOS 开发, Swift 编程, Unix 命令, Javascript, 核心数据(软件), 苹果 iOS
★ 4.6 (8724) · 初级 · 专业证书 · 3-6 个月

您将获得的技能: Spatial Data Analysis, Spatial Analysis, Geographic Information Systems, Random Forest Algorithm, Model Evaluation, Feature Engineering, Model Training, Matplotlib, Convolutional Neural Networks, Image Analysis, Applied Machine Learning, Plot (Graphics), Supervised Learning, Environmental Monitoring, Geospatial Information and Technology, Scientific Visualization, Predictive Modeling, Deep Learning, Geospatial Mapping, Machine Learning
中级 · 专项课程 · 3-6 个月

DeepLearning.AI
您将获得的技能: 数据分析, 数据预处理, 精准医疗, 卷积神经网络, 机器学习, Model Evaluation, 深度学习, 患者评估, 诊断测试, 治疗计划, 临床试验, 分类与回归树 (CART), 统计分析, 图像分析, 统计机器学习, 预测建模, 模型评估, 功能工程, 统计方法, 决策树学习, 风险建模
★ 4.7 (2468) · 中级 · 专项课程 · 1-3 个月

Edureka
您将获得的技能: Responsible AI, Technical Communication, Data Ethics, Model Evaluation, Interactive Data Visualization, Data Storytelling, Machine Learning, Data Visualization, Feature Engineering, Applied Machine Learning, Classification And Regression Tree (CART), Machine Learning Methods, Regression Analysis, Decision Tree Learning, Trustworthiness, Artificial Intelligence and Machine Learning (AI/ML), Scikit Learn (Machine Learning Library), Statistical Methods, Stakeholder Analysis, Debugging
初级 · 课程 · 1-4 周