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。

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

您将获得的技能: Data Cleansing, PySpark, Data Manipulation, Data Preprocessing, Apache Spark, Google Cloud Platform, Data Analysis, Applied Machine Learning, Predictive Modeling, Big Data, Machine Learning, Regression Analysis
中级 · 指导项目 · 不超过 2 小时

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

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

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: 机器学习, 机器学习算法, 数据库, Apache Hadoop, Apache Cassandra, 分布式计算, 监督学习, 生成式人工智能, 数据管道, Apache Spark, MongoDB, Kubernetes, 大数据, PySpark, Apache Hive, 应用机器学习, NoSQL, 模型评估, IBM 云, 摘录
初级 · 专项课程 · 3-6 个月

您将获得的技能: Data Ethics, Data-Driven Decision-Making, Data Analysis, Analytical Skills, Business Analytics, Data Storytelling, Data Science, Communication, Stakeholder Communications, Workflow Management, Project Management, Machine Learning
高级设置 · 课程 · 1-3 个月

您将获得的技能: Unsupervised Learning, Seaborn, Matplotlib, Predictive Modeling, Data Preprocessing, Supervised Learning, NumPy, Model Evaluation, Applied Machine Learning, Predictive Analytics, Dimensionality Reduction, PyTorch (Machine Learning Library), Deep Learning, Keras (Neural Network Library), Scatter Plots, Statistical Visualization, Python Programming, Data Science, Machine Learning, Data Analysis
初级 · 专项课程 · 1-3 个月

Politecnico di Milano
您将获得的技能: 机器学习, 负责任的人工智能, 机器学习算法, 降维, 监督学习, 知识产权, 云平台, 一般数据保护条例》(GDPR), 社会学, 强化学习, 个人身份信息, AI 赋能, 分类学, 法律风险, 无监督学习, Machine Learning 方法, AI 安全, 社会影响, 法律技术, 人工智能
初级 · 专项课程 · 3-6 个月

您将获得的技能: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Standard Operating Procedure, Customer Support, Product Support, Responsible AI, Prototyping, Artificial Intelligence and Machine Learning (AI/ML), Customer experience improvement, Artificial Intelligence, AI Workflows, Data Ethics, Customer Insights, Deep Learning, Automation, Machine Learning, Natural Language Processing, Context Management
中级 · 专项课程 · 1-3 个月

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