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: Random Forest Algorithm, Decision Tree Learning, Data Preprocessing, Applied Machine Learning, Jupyter, Classification Algorithms, Java, Sampling (Statistics), Feature Engineering, Model Evaluation, Supervised Learning, Predictive Modeling, Machine Learning, Learning Styles, Program Evaluation, Program Implementation
中级 · 课程 · 1-4 周

Google Cloud
您将获得的技能: 生成式人工智能, Google 云端平台, 人工智能, Machine Learning 方法
初级 · 课程 · 1-4 周

Universidad Nacional Autónoma de México
您将获得的技能: Supervised Learning, Applied Machine Learning, Unsupervised Learning, Bayesian Network, Machine Learning Methods, Computational Logic, Program Development, Machine Learning, Artificial Intelligence, Machine Learning Algorithms, Markov Model, Artificial Intelligence and Machine Learning (AI/ML), Algorithms, Computational Thinking, Creativity, Game Theory, Theoretical Computer Science, Software Development, Generative AI, Social Sciences
中级 · 专项课程 · 3-6 个月

DeepLearning.AI
您将获得的技能: 机器学习, 文本挖掘, 嵌入, 自然语言处理, 数据预处理, 生成式人工智能, 应用机器学习, 递归神经网络 (RNN), 张力流, 人工神经网络
中级 · 课程 · 1-4 周
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: Unsupervised Learning, Applied Machine Learning, Plotly, Data Visualization, Machine Learning, Social Sciences, Socioeconomics, Machine Learning Algorithms, Scikit Learn (Machine Learning Library), Exploratory Data Analysis, Data Analysis, Python Programming
初级 · 指导项目 · 不超过 2 小时

您将获得的技能: Reinforcement Learning, Regulatory Compliance, Due Diligence, Artificial Intelligence and Machine Learning (AI/ML), Risk Analysis, Policy Analysis, Policy Development, Algorithms
中级 · 课程 · 1-4 周

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, Test Automation, AI Product Strategy, Software Development, DevSecOps, Prototyping, Artificial Intelligence and Machine Learning (AI/ML)
高级设置 · 专项课程 · 1-3 个月

Google Cloud
您将获得的技能: Google Cloud Platform, Cloud Infrastructure, Application Deployment, Prompt Engineering, Kubernetes, Containerization, Database Architecture and Administration, MySQL, Cloud Computing Architecture, Dataflow, PostgreSQL, Identity and Access Management, Cloud Deployment, Data Migration, Cloud Management, Cloud Security, Cloud Applications, Operational Databases, Database Design, Database Management
中级 · 专项课程 · 3-6 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