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。
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

LearnQuest
您将获得的技能: 机器学习, 探索性数据分析, 数据科学, Pandas(Python 软件包), 张力流, 分类算法, 降维, 数据清理, 生物信息学, 人工神经网络, 数据操作, 随机森林算法, 数据转换, Scikit-learn (机器学习库), 模型评估, 应用机器学习, 功能工程, Keras(神经网络库), NumPy, 数据预处理
初级 · 专项课程 · 3-6 个月

您将获得的技能: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Interactive Data Visualization, Business Intelligence, Data Presentation, Infographics, Data Visualization, Dashboard, Data Storytelling, Prototyping, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, AI Workflows, Deep Learning, SQL, Data Analysis, Machine Learning
中级 · 专项课程 · 1-3 个月

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

Google Cloud
您将获得的技能: 机器学习, MLOps(机器学习 Operator), 数据管道, 人工神经网络, 张力流, 云部署, Google 云端平台, Python 程序设计, 模型部署, 数据转换, 数据预处理, Keras(神经网络库), 功能工程, 深度学习, 模型评估
中级 · 课程 · 1-3 个月
CertNexus
您将获得的技能: 卷积神经网络, 预测建模, 分类算法, 机器学习算法, 决策树学习, 监督学习, 计算机视觉, 递归神经网络 (RNN), 人工神经网络, 随机森林算法, 应用机器学习, 自然语言处理, 人工智能和机器学习(AI/ML), 深度学习
中级 · 课程 · 1-3 个月

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

Duke University
您将获得的技能: 数据结构, 机器学习, 测试自动化, 应用编程接口 (API), MLOps(机器学习 Operator), Pandas(Python 软件包), 数值分析, 调试, 数据操作, Python 程序设计, 模型部署, 数据导入/导出, 面向对象编程(OOP), 命令行界面, 脚本, NumPy, 软件测试
中级 · 课程 · 1-3 个月

您将获得的技能: 迁移学习, 生成式人工智能, PyTorch(机器学习库), 大型语言模型, 自然语言处理, 应用机器学习, 嵌入, 性能调整, 文本挖掘
中级 · 课程 · 1-4 周

您将获得的技能: Feature Engineering, Responsible AI, Model Evaluation, Technical Communication, Data Preprocessing, Data Transformation, Performance Analysis, Data Wrangling, Data Cleansing, Data Analysis, Predictive Modeling, Machine Learning, Embeddings, Artificial Intelligence, Decision Support Systems, Scikit Learn (Machine Learning Library), Pandas (Python Package), Debugging
中级 · 课程 · 1-4 周

Google Cloud
您将获得的技能: Business Transformation, Innovation, Digital Transformation, Serverless Computing, Cloud Services, Data Ethics, Cloud Infrastructure, Google Cloud Platform, Application Programming Interface (API), Technology Strategies, Applied Machine Learning, Hybrid Cloud Computing, Data Strategy, Image Analysis, Infrastructure As A Service (IaaS), Responsible AI, Cloud Computing, Cloud Solutions, Public Cloud, Containerization
初级 · 专项课程 · 1-3 个月

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