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。

您将获得的技能: Data Visualization, Multimodal Prompts, Prompt Engineering, Data Presentation, Prompt Patterns, AI Enablement, AI Personalization, Generative AI, Email Automation, LLM Application, Data Analysis, Artificial Intelligence, Complex Problem Solving, Ideation, Business Correspondence, Report Writing, Solution Design, Critical Thinking, Document Management, Machine Learning
初级 · 专项课程 · 1-4 周

University of California, Irvine
您将获得的技能: 写作, 同行评审, 校对, 英语, 编辑, 语法
混合 · 课程 · 1-4 周

Deep Teaching Solutions
您将获得的技能: Productivity, Lifelong Learning, Learning Strategies, Time Management, Willingness To Learn, Mental Concentration, Problem Solving, Overcoming Obstacles, Creative Thinking, Persistence, Cognitive flexibility, Stress Management, Planning
初级 · 课程 · 1-3 个月

Yonsei University
您将获得的技能: 文化, 扫盲, 写作, 语言能力, 词汇, 语法
初级 · 课程 · 1-3 个月

您将获得的技能: Matplotlib, NumPy, Pandas (Python Package), Applied Machine Learning, Python Programming, Scikit Learn (Machine Learning Library), Data Visualization, Supervised Learning, Feature Engineering, Machine Learning, Natural Language Processing, Machine Learning Algorithms, Text Mining, Data Manipulation, Unsupervised Learning, Model Evaluation, Data Preprocessing, Classification Algorithms
混合 · 课程 · 1-4 周

您将获得的技能: Tensorflow, Keras (Neural Network Library), Model Evaluation, Transfer Learning, Natural Language Processing, Data Preprocessing, Deep Learning, Data Pipelines
中级 · 指导项目 · 不超过 2 小时

Microsoft
您将获得的技能: 机器学习, 异常检测, 自然语言处理, 负责任的人工智能, 分类算法, 微软 Azure, 模型部署, 预测建模, 无代码开发, 人工智能, 数据伦理, 回归分析, 计算机视觉, MLOps(机器学习 Operator), 无监督学习, 应用机器学习, 人工智能和机器学习(AI/ML), 图像分析, AI 赋能, AI 工作流程
初级 · 专项课程 · 3-6 个月

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

您将获得的技能: Tensorflow, Computer Vision, Model Evaluation, Convolutional Neural Networks, Deep Learning, Amazon Elastic Compute Cloud, Transfer Learning, Image Analysis, Amazon Web Services, Artificial Neural Networks, Keras (Neural Network Library), Model Deployment, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Feature Engineering, Data Preprocessing, Classification Algorithms, Application Development, Python Programming, Network Architecture
初级 · 专项课程 · 1-3 个月

University of Illinois Urbana-Champaign
您将获得的技能: Python 程序设计, 生成对抗网络 (GAN), 图论, Machine Learning 方法, 健康信息学, 医疗保健项目管理, 自动编码器, 递归神经网络 (RNN), 人工神经网络, 预测建模, 无监督学习, 卷积神经网络, 应用机器学习, 深度学习, 图像分析
高级设置 · 课程 · 1-4 周

您将获得的技能: LangGraph, AI Orchestration, Model Deployment, Retrieval-Augmented Generation, AI Workflows, Generative AI Agents, CrewAI, Agentic Workflows, LangChain, Artificial Intelligence and Machine Learning (AI/ML), LLM Application, Agentic systems, OpenAI, Systems Integration, Tool Calling, Google Gemini, Workflow Management, Automation, Prompt Engineering, Responsible AI
中级 · 专项课程 · 1-3 个月

Sungkyunkwan University
您将获得的技能: Machine Learning Algorithms, Decision Tree Learning, Classification Algorithms, Unsupervised Learning, Machine Learning, Supervised Learning, Python Programming, Algorithms, Bayesian Statistics, Probability & Statistics
混合 · 课程 · 1-4 周