无监督学习课程可以帮助您学习 Clustering 技术、Dimensionality Reduction 和 Anomaly Detection。您可以掌握数据预处理、Feature Extraction 和解释复杂数据集的技能。许多课程都会介绍 Scikit-learn 和 TensorFlow 等 Python 库等工具,这些工具支持在项目中实施这些方法。您还将探索客户细分、图像处理和推荐系统等领域的实际应用,提高从无标签数据中获得洞察力的能力。

您将获得的技能: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Design Research, Persona (User Experience), User Interface and User Experience (UI/UX) Design, Design Software, AI Workflows, User Interface (UI) Design, Brainstorming, Prototyping, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Large Language Modeling, Human Centered Design, User Story, Wireframing, Deep Learning, Ideation
初级 · 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
Coursera
您将获得的技能: Classification And Regression Tree (CART), Decision Tree Learning, Classification Algorithms, Java, Java Programming, Machine Learning Algorithms, Supervised Learning, Algorithms, Machine Learning, Data Structures, Software Engineering
高级设置 · 课程 · 1-4 周

University of Michigan
您将获得的技能: Python 程序设计, 交互式数据可视化, 数据操作, 图论, 文本挖掘, 可视化(计算机制图), Matplotlib, 数据预处理, 社交网络分析, Pandas(Python 软件包), 自然语言处理, 数据可视化软件, 模型评估, 网络分析, 功能工程, 应用机器学习, 科学可视化, 数据可视化, NumPy, 监督学习
中级 · 专项课程 · 3-6 个月

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: Model Evaluation, Matplotlib, Applied Machine Learning, Data Visualization, Supervised Learning, Statistics, Data Preprocessing
中级 · 课程 · 1-3 个月
University of Michigan
您将获得的技能: Python 程序设计, 数据分析, 数据操作, 数据处理, 开发环境, 数据结构, 软件安装
初级 · 课程 · 1-3 个月

DeepLearning.AI
您将获得的技能: 机器学习, 数据处理, JSON, 数据转换, 卷积神经网络, 实时数据, 计算机视觉, 迁移学习, 应用机器学习, Javascript, 图像分析, 网络应用, 人工神经网络, 模型部署, 张力流
中级 · 课程 · 1-4 周

您将获得的技能: Amazon Bedrock, Model Evaluation, Data Preprocessing
初级 · 课程 · 1-3 个月

IBM
您将获得的技能: Prompt Engineering, AI 产品战略, 数据伦理, 原型设计, 大型语言模型, 拥抱的脸, 生成式人工智能, 法律风险, AI 赋能, ChatGPT, 商业道德, 生成模型架构, 领导与管理, 战略领导力, 业务领导, IBM 云, OpenAI, 模型部署, 负责任的人工智能, 提示模式
初级 · 专项课程 · 3-6 个月

您将获得的技能: Model Deployment, Scikit Learn (Machine Learning Library), Model Evaluation, Data Preprocessing, Large Language Modeling, Version Control
中级 · 课程 · 1-4 周

您将获得的技能: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Sales Strategy, Sales Presentation, Sales Enablement, Sales Training, Sales Pipelines, Sales Management, Lead Generation, Sales Prospecting, LinkedIn, B2B Sales, Prospecting and Qualification, Responsible AI, Prototyping, Artificial Intelligence and Machine Learning (AI/ML), AI Personalization, Marketing Collateral
中级 · 专项课程 · 1-3 个月