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。

University of Minnesota
您将获得的技能: Python 程序设计, 应用数学, 数据操作, Algorithm, 数值分析, 降维, NumPy, 数学建模, 线性代数, 解决方案设计, 应用机器学习, 统计方法, 回归分析
中级 · 课程 · 1-3 个月

IBM
您将获得的技能: 负责任的人工智能, 生成式人工智能, CI/CD, 软件开发, Prompt Engineering, 软件开发工具, 深度学习, DevSecOps, AI 工作流程, 测试自动化, 原型设计, 软件测试, 人工智能, 大型语言模型, 自然语言处理, AI 安全, 软件工程, 人工智能和机器学习(AI/ML), ChatGPT, 提示模式
中级 · 专项课程 · 1-3 个月

IBM
您将获得的技能: Python 程序设计, 机器学习, 其他编程语言, 应用编程接口 (API), 数据可视化软件, R(软件), 大数据, 数据科学, 计算机编程工具, 云计算, Open Source 技术, R 语言程序设计(中文版), Jupyter, 模型部署, 版本控制, Git(版本控制系统), GitHub
初级 · 课程 · 1-3 个月

Snowflake
您将获得的技能: 机器学习, 数据操作, 生成式人工智能, 数据管道, 数据存储, 数据库管理, 数据科学, 应用程序开发, SQL, 数据导入/导出, 数据仓库, 数据工程, 基于角色的访问控制(RBAC), 人工智能和机器学习(AI/ML), 云计算开发, 存储过程, 摘录
初级 · 课程 · 1-4 周

您将获得的技能: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Responsible AI, HR Tech, Human Resources Management and Planning, Human Resources, Workforce Planning, Human Resource Strategy, LLM Application, AI Enablement, AI Personalization, Prototyping, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, AI Workflows, Deep Learning, Employee Engagement, Recruitment
中级 · 专项课程 · 1-3 个月

您将获得的技能: Prompt Engineering, Large Language Modeling, Generative AI, Retrieval-Augmented Generation, Generative Model Architectures, PyTorch (Machine Learning Library), Vector Databases, LLM Application, Generative Adversarial Networks (GANs), Embeddings, Natural Language Processing, Hugging Face, Transfer Learning, Data Pipelines, Recurrent Neural Networks (RNNs), Data Ethics, Data Preprocessing, Artificial Intelligence, Text Mining, Performance Tuning
中级 · 专项课程 · 3-6 个月

您将获得的技能: Prompt Engineering, Generative AI, AI Workflows, OpenAI, Responsible AI, Data Ethics, Artificial Intelligence, Creative Design, Image Quality, Design, Digital Design, Graphic Design, Machine Learning
初级 · 课程 · 1-3 个月

您将获得的技能: Data Preprocessing, Logistic Regression, Data Cleansing, Apache Spark, PySpark, Data Manipulation, Applied Machine Learning, Classification And Regression Tree (CART), Data Science, Machine Learning, Google Cloud Platform, Python Programming
中级 · 指导项目 · 不超过 2 小时

您将获得的技能: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Large Language Modeling, Responsible AI, AI Personalization, Mobile Development, AI Security, Anthropic Claude, Artificial Intelligence, Software Development Tools, Software Testing, Apple iOS, AI Product Strategy, Test Automation, Software Development, DevSecOps, Prototyping, Artificial Intelligence and Machine Learning (AI/ML)
高级设置 · 专项课程 · 1-3 个月

您将获得的技能: Responsible AI, Google Gemini, LLM Application, AI Enablement, AI Product Strategy, Stakeholder Analysis
中级 · 专项课程 · 1-3 个月

Whizlabs
您将获得的技能: AWS Kinesis, Amazon Redshift, Data Preprocessing, Data Analysis, Real Time Data, Applied Machine Learning, Data Pipelines, Data Processing, Extract, Transform, Load, Exploratory Data Analysis, Amazon S3, Data Sharing, Data Visualization Software, Data Transformation, Machine Learning, Data Management
初级 · 课程 · 1-4 周

University of Pittsburgh
您将获得的技能: NumPy, Matplotlib, Linear Algebra, Pandas (Python Package), Data Manipulation, Applied Mathematics, Data Visualization, Python Programming, Data Analysis, Data Science, Regression Analysis, Data Visualization Software, Mathematics and Mathematical Modeling, Probability & Statistics, Statistics, Numerical Analysis, Mathematical Modeling, Machine Learning, Computational Logic, Logical Reasoning
攻读学位
初级 · 课程 · 1-4 周