University of Illinois Urbana-Champaign
您将获得的技能: 无监督学习, 机器学习, Scikit Learn(机器学习库), 数据预处理, 应用机器学习, 机器学习方法, 机器学习算法, 监督学习, 分类算法, 高级分析, 业务分析, 预测建模, 回归分析, 商业分析, 决策树学习, Python 编程, 分析
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中级 · 课程 · 1-4 周

University of Pennsylvania
您将获得的技能: Statistical Machine Learning, Data Preprocessing, Model Evaluation, PyTorch (Machine Learning Library), Statistical Methods, Probability, Probability & Statistics, Sampling (Statistics), Logistic Regression, Deep Learning, Probability Distribution, Statistical Modeling, Python Programming, Supervised Learning, Machine Learning, Data Processing, Agentic systems, Artificial Intelligence, Algorithms, AI literacy
中级 · 专项课程 · 3-6 个月

Google Cloud
您将获得的技能: Model Optimization, Feature Engineering, Tensorflow, Google Cloud Platform, Machine Learning, Machine Learning Methods, Machine Learning Software, Model Deployment, Data Preprocessing, Applied Machine Learning, Model Training, Data Quality, Keras (Neural Network Library), Machine Learning Algorithms, Statistical Machine Learning, Supervised Learning, Embeddings, Deep Learning, MLOps (Machine Learning Operations), PyTorch (Machine Learning Library)
中级 · 专项课程 · 3-6 个月

您将获得的技能: PyTorch (Machine Learning Library), Recurrent Neural Networks (RNNs), Model Evaluation, Convolutional Neural Networks, Natural Language Processing, Deep Learning, Generative Adversarial Networks (GANs), Classification Algorithms, Transfer Learning, Model Training, Vision Transformer (ViT), Artificial Intelligence and Machine Learning (AI/ML), Image Analysis, Fine-tuning, Artificial Neural Networks, Machine Learning, Computer Vision, Generative Model Architectures, Graph Theory, Machine Learning Algorithms
中级 · 专项课程 · 3-6 个月

您将获得的技能: Generative AI, Generative Model Architectures, Business Analytics, Analytics, Data Quality, Business Analysis, Data Ethics, Quality Improvement, Responsible AI, Data Analysis, LLM Application, Machine Learning, Ethical Standards And Conduct
初级 · 课程 · 1-4 周

Peking University
您将获得的技能: C# (Programming Language), Object Oriented Programming (OOP), Object Oriented Design, C++ (Programming Language), Extensible Markup Language (XML), Computer Programming, .NET Framework, Java Programming, Microsoft Visual Studio, Java, Data Access, Extensible Languages and XML, Database Software, Database Management, User Interface (UI), Programming Principles, C (Programming Language), Program Development, UI Components, Application Development
中级 · 课程 · 3-6 个月

Illinois Tech
您将获得的技能: NoSQL, Machine Learning Algorithms, Big Data, Model Evaluation, Apache Hadoop, Recurrent Neural Networks (RNNs), Deep Learning, Statistical Analysis, Data Visualization, Data Analysis, Exploratory Data Analysis, Apache Spark, Statistical Methods, Data Presentation, Generative AI, Convolutional Neural Networks, Transfer Learning, Analysis, Data Infrastructure, Machine Learning
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中级 · 专项课程 · 3-6 个月

National Taiwan University
您将获得的技能: Algorithm, 案例研究, 模型优化, 机器学习, 算法, 运筹学, 线性代数, 分类算法, 网络模型, 统计机器学习, 高等数学, 资源分配, 数学理论与分析, 应用数学, 数学建模, 商业分析, 运输业务
高级设置 · 课程 · 1-3 个月

Illinois Tech
您将获得的技能: 机器学习, 人工智能, 机器学习算法, 监督学习, 应用机器学习, 数据伦理, 机器学习方法, 新兴技术, 深度学习, 负责任的人工智能, 人工智能扫盲, 生成式人工智能, 人工智能产品战略, 人工智能和机器学习(AI/ML), 克劳德人类学, OpenAI, 人机界面, 市场数据, 人为因素
初级 · 课程 · 1-3 个月

University of California San Diego
您将获得的技能: 模型优化, 机器学习, 数据预处理, 应用机器学习, 机器学习算法, 模型评估, 人工智能个性化, 网络框架, Model Evaluation, 预测建模, 数据清理, MLOps(机器学习运营), Django (网络框架), 网络应用, Flask (Web 框架), Python 编程, 数据操作, 模型部署
混合 · 课程 · 1-3 个月

DeepLearning.AI
您将获得的技能: AI Product Strategy, AI Enablement, Business Strategy, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), AI literacy, Responsible AI, Data Ethics, Artificial Neural Networks, Applied Machine Learning, Data Science, Deep Learning, Machine Learning, Recruitment
初级 · 课程 · 1-4 周

您将获得的技能: Model Optimization, Model Evaluation, Large Language Modeling, Data Preprocessing, Model Training, Fine-tuning, Data Cleansing, PyTorch (Machine Learning Library), Transfer Learning, Deep Learning, Natural Language Processing, Exploratory Data Analysis, Test Data, Machine Learning
中级 · 指导项目 · 不超过 2 小时