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。

Duke University
您将获得的技能: 数据分析, 无服务器计算, 数据预处理, MLOps(机器学习 Operator), 亚马逊网络服务, 微软 Azure, 云部署, 模型部署, 数据管道, 机器学习, 功能工程, 云计算解决方案, 模型评估, AWS SageMaker, 探索性数据分析, Python 程序设计
高级设置 · 课程 · 1-3 个月

Edureka
您将获得的技能: Responsible AI, Data Storytelling, AI Workflows, Data Presentation, AI Enablement, Predictive Modeling, Decision Support Systems, Strategic Decision-Making, Data-Driven Decision-Making, Business Intelligence, Decision Making, Business Analytics, Agentic systems, MLOps (Machine Learning Operations), Forecasting, Predictive Analytics, Scikit Learn (Machine Learning Library), Machine Learning, Data Security, Text Mining
中级 · 专项课程 · 1-3 个月

您将获得的技能: Prompt Engineering, Large Language Modeling, Generative AI, AI Security, Gemini, AI Enablement, Google Workspace, Productivity Software, Artificial Intelligence and Machine Learning (AI/ML), LLM Application, Model Evaluation, AI Workflows, Workplace inclusivity, Social Impact, Operational Efficiency, Human Factors, Critical Thinking, Analysis, Data Security, Natural Language Processing
初级 · 专项课程 · 3-6 个月

Johns Hopkins University
您将获得的技能: Linear Algebra, Algebra, Applied Mathematics, Advanced Mathematics, Artificial Intelligence and Machine Learning (AI/ML), Mathematical Modeling, Engineering Analysis, Mathematical Theory & Analysis, Numerical Analysis, Geometry, Data Transformation, Applied Machine Learning, Dimensionality Reduction, Markov Model, Probability
初级 · 专项课程 · 3-6 个月

IBM
您将获得的技能: PyTorch(机器学习库), 分类算法, 数据预处理, 概率与统计, 回归分析, 人工神经网络, 预测建模, 逻辑回归, 模型评估, 张力流, 深度学习, Machine Learning 方法
中级 · 课程 · 1-3 个月

您将获得的技能: Model Deployment, Benchmarking, Process Optimization, Cloud Deployment, Model Evaluation, Network Performance Management, Convolutional Neural Networks, Keras (Neural Network Library), Network Model, Project Performance
中级 · 课程 · 1-4 周

您将获得的技能: Responsible AI, AI Workflows, AI Enablement, Agentic systems, Automation, Business Process Automation, Real Time Data, MLOps (Machine Learning Operations), AI Personalization, IT Automation, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, No-Code Development, Cloud-Based Integration, Business Transformation, Cloud API, Python Programming, Data Analysis, Restful API, API Design
中级 · 课程 · 1-4 周

Politecnico di Milano
您将获得的技能: 负责任的人工智能, 社会影响, 机器学习算法, 法律技术, 云平台, 降维, 强化学习, 机器学习, 知识产权, 无监督学习, 法律风险, AI 赋能, 分类学, Machine Learning 方法, 社会学, 监督学习, 人工智能, 一般数据保护条例》(GDPR), 个人身份信息, AI 安全
初级 · 专项课程 · 3-6 个月
Coursera
您将获得的技能: Experimentation, Business Metrics, Data Storytelling, Return On Investment, Model Evaluation, Dashboard, Performance Measurement, Business Valuation, Key Performance Indicators (KPIs), A/B Testing, Performance Analysis, Analysis, Product Management, Machine Learning, Financial Analysis, Business, Stakeholder Communications, Sample Size Determination, Power Electronics
中级 · 课程 · 1-4 周

NVIDIA
您将获得的技能: 硬件架构, MLOps(机器学习 Operator), 生成式人工智能, 云基础设施, 大型语言模型, 信息技术基础设施, 信息技术业务, 机器学习, 深度学习, 云计算, 数据中心, 模型部署, 人工智能, 数据基础设施, Devops 工具, 网络基础设施, 人工智能和机器学习(AI/ML), 计算机结构, AI 协调, 基础设施架构
初级 · 课程 · 1-4 周

您将获得的技能: Responsible AI, Decision Support Systems, Strategic Decision-Making, Operational Efficiency, Predictive Modeling, Process Optimization, Business Modeling, Predictive Analytics, Data-Driven Decision-Making, Data Pipelines, Business Intelligence, Data Ethics, Scenario Testing, Forecasting, Governance, Artificial Intelligence and Machine Learning (AI/ML), Data Visualization, Scikit Learn (Machine Learning Library), Python Programming, Regression Testing
中级 · 课程 · 1-4 周
CertNexus
您将获得的技能: 计算机视觉, 分类算法, 卷积神经网络, 机器学习算法, 自然语言处理, 预测建模, 随机森林算法, 人工神经网络, 应用机器学习, 人工智能和机器学习(AI/ML), 递归神经网络 (RNN), 监督学习, 深度学习, 决策树学习
中级 · 课程 · 1-3 个月