数据挖掘课程可以帮助您学习数据预处理、模式识别和预测建模技术。您可以掌握 Cluster、Classification 和 Anomaly Detection 等技能,从而支持从大型数据集中提取有意义的见解。许多课程都会介绍 Python、R 和 SQL 等工具,以及 RapidMiner 和 Weka 等软件,帮助您在实际数据分析项目中应用这些技能。

IBM
您将获得的技能: 生成式人工智能, 新兴技术, 数据科学, 数据分析, 云计算架构, 商务, 大数据, 云存储, 云计算, 云部署, 自然语言处理, 云安全, 云基础设施, 负责任的人工智能, 云服务, 机器人, 业务逻辑, 云平台, 数据挖掘, 数据扫盲
初级 · 专项课程 · 3-6 个月

University of Colorado System
您将获得的技能: 非结构化数据, 文本挖掘, 自然语言处理, 临床数据管理, 数据处理, R 语言程序设计(中文版), Google 云端平台, 临床文件, 临床信息学, 健康信息学
中级 · 课程 · 1-3 个月

Duke University
您将获得的技能: 卷积神经网络, 逻辑回归, 计算机视觉, 递归神经网络 (RNN), 自然语言处理, 人工神经网络, 迁移学习, 深度学习, Python 程序设计, 机器学习, 强化学习, 医学影像, PyTorch(机器学习库), 应用机器学习, 图像分析, 监督学习, 无监督学习
中级 · 课程 · 1-3 个月

Universidad Nacional Autónoma de México
您将获得的技能: Descriptive Statistics, Data Analysis, Correlation Analysis, Statistical Analysis, Data Presentation, Statistical Visualization, Probability, Histogram, Data-Driven Decision-Making, Regression Analysis, Probability Distribution, Box Plots, Graphing, Scatter Plots
初级 · 课程 · 1-4 周
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

University of Alberta
您将获得的技能: 机器学习算法, 模型评估, 抽样(统计), Algorithm, 线性代数, 马尔可夫模型, 强化学习, 人工神经网络, 概率分布, 深度学习, 功能工程, 人工智能, 伪代码, 模拟, 人工智能和机器学习(AI/ML), 性能测试, 性能调整, 监督学习, 机器学习
中级 · 专项课程 · 3-6 个月

您将获得的技能: MLOps (Machine Learning Operations), Google Cloud Platform, Generative AI, Model Deployment, Cloud Management, Kubernetes, Large Language Modeling, CI/CD, Cloud Deployment, Machine Learning Methods, Continuous Deployment, Tensorflow, Model Evaluation, Apache Airflow, AI Workflows, Continuous Integration, Feature Engineering, Containerization, Performance Tuning
中级 · 课程 · 1-3 个月

Vanderbilt University
您将获得的技能: Generative AI Agents, Agentic Workflows, AI Orchestration, Workflow Management, AI Enablement, Agentic systems, Artificial Intelligence, Business Process Automation, Generative AI, AI Product Strategy, Automation, AI Personalization, Prompt Engineering, Tool Calling, Emerging Technologies, Responsible AI
初级 · 课程 · 1-4 周

Google Cloud
您将获得的技能: Model Deployment, Convolutional Neural Networks, Google Cloud Platform, Natural Language Processing, Tensorflow, MLOps (Machine Learning Operations), Reinforcement Learning, Transfer Learning, Computer Vision, Systems Design, Applied Machine Learning, Machine Learning Methods, Image Analysis, AI Personalization, Cloud Deployment, Recurrent Neural Networks (RNNs), Hybrid Cloud Computing, Systems Architecture, Performance Tuning, Embeddings
高级设置 · 专项课程 · 3-6 个月

您将获得的技能: 生成式人工智能, 自然语言处理, 嵌入, 大型语言模型, 文本挖掘, 应用机器学习, PyTorch(机器学习库), 迁移学习, 性能调整
中级 · 课程 · 1-4 周

您将获得的技能: Logistic Regression, SAS (Software), Predictive Modeling, Model Evaluation, Statistical Hypothesis Testing, Statistical Analysis, Correlation Analysis, Statistical Modeling, Regression Analysis, Statistical Methods, Probability & Statistics, Classification And Regression Tree (CART), Big Data, Plot (Graphics), Data Analysis, Model Deployment, Statistical Inference, Data Preprocessing, Statistical Machine Learning, Feature Engineering
中级 · 专业证书 · 3-6 个月

Coursera
您将获得的技能: AI Orchestration, AI Workflows, LLM Application, Agentic systems, Tool Calling, LangChain, Artificial Intelligence, Prompt Engineering, Model Evaluation, Context Management, Scenario Testing, Performance Testing, Development Testing, Debugging
中级 · 课程 · 1-4 周