线性代数课程可以帮助您学习 Vector 空间、矩阵运算、特征值和线性变换。您可以掌握解方程组、执行降维以及将概念应用于数据分析和机器学习的技能。许多课程都会介绍 MATLAB、NumPy 等 Python 库和计算数学软件等工具,这些工具支持在各种应用(包括人工智能和 AI 驱动模型)中实现算法和 Data Visualization。

Google Cloud
您将获得的技能: Google Gemini, Google Workspace, Application Deployment, OAuth, Collaborative Software, Generative AI Agents, LLM Application, Identity and Access Management, Tool Calling, Application Programming Interface (API), Information Architecture, Data Store
初级 · 课程 · 1-4 周

您将获得的技能: Generative AI, AI Personalization, Prompt Engineering Tools, Web Content, Web Analytics and SEO, Google Cloud Platform, Information Architecture, User Interface and User Experience (UI/UX) Design, User Experience, Web Development
初级 · 课程 · 1-4 周

Google Cloud
您将获得的技能: Google Gemini, Data Store, OAuth, Application Deployment, Productivity Software, Data Access, Data Sharing, Application Programming Interface (API), Identity and Access Management, Information Architecture, Search Engine Marketing
初级 · 课程 · 1-4 周

Coursera
您将获得的技能: Interactive Design, Canva (Software), Digital Design, User Experience, Information Architecture, Browser Compatibility, Graphic and Visual Design, Typography, Design Strategies, Color Theory, Design Elements And Principles, Quality Assurance
初级 · 课程 · 1-4 周

Google Cloud
您将获得的技能: Semantic Web, Generative AI, Prompt Engineering, Artificial Intelligence, Natural Language Processing, Information Architecture, Google Cloud Platform, Algorithms
中级 · 课程 · 1-4 周

您将获得的技能: Generative AI, AI Personalization, Prompt Engineering, Large Language Modeling, Web Content, Google Cloud Platform, User Experience, Information Architecture, Content Management, Image Analysis
初级 · 课程 · 1-4 周

University of Leeds
您将获得的技能: Data Ethics, Regression Analysis, Statistical Hypothesis Testing, Exploratory Data Analysis, Bayesian Statistics, Statistical Machine Learning, Classification And Regression Tree (CART), Network Analysis, Statistical Methods, Planning, Applied Machine Learning, Data Visualization, Data Manipulation, Statistical Visualization, Data Analysis, Unsupervised Learning, Statistical Modeling, Linear Algebra, Artificial Intelligence and Machine Learning (AI/ML), Object Oriented Programming (OOP)
获得学位
学位 · 1-4 年

University of Pittsburgh
您将获得的技能: LLM Application, Tool Calling, Database Systems, Data Visualization, Predictive Modeling, Database Design, Apache Spark, Large Language Modeling, Database Management, Databases, Data Ethics, Bayesian Statistics, Data Visualization Software, Supervised Learning, Cloud Computing, Linear Algebra, Data Governance, Regression Analysis, Applied Machine Learning, Data Analysis
获得学位
学位 · 1-4 年
University of Colorado Boulder
您将获得的技能: Data Mining, Unsupervised Learning, Supervised Learning, Deep Learning, Service Level, Probability, Statistical Modeling, Machine Learning Algorithms, Applied Machine Learning, Anomaly Detection, Statistical Inference, Statistical Hypothesis Testing, Exploratory Data Analysis, Dimensionality Reduction, Data Warehousing, Regression Analysis, Classification And Regression Tree (CART), Performance Testing, Bash (Scripting Language), Data Science
提供的学分
研究生证书 · 6-12 个月

Universidad de los Andes
您将获得的技能: Real-Time Operating Systems, Supervised Learning, Semantic Web, Unsupervised Learning, LLM Application, Cloud-Native Computing, Continuous Deployment, Computer Vision, Reinforcement Learning, Deep Learning, Natural Language Processing, MLOps (Machine Learning Operations), Biomedical Engineering, Cost Management, Artificial Intelligence, Game Theory, Data Ethics, Linear Algebra, Machine Learning Methods, Prompt Engineering
获得学位
学位 · 1-4 年

Universidad de los Andes
您将获得的技能: Supervised Learning, Unsupervised Learning, Artificial Intelligence, Data Ethics, Linear Algebra, Dimensionality Reduction, Responsible AI, Machine Learning Methods, Machine Learning, Natural Language Processing, Applied Machine Learning, Semantic Web, Classification And Regression Tree (CART), Bayesian Statistics, Machine Learning Algorithms, Statistical Machine Learning, Predictive Modeling, Scientific Visualization, Unstructured Data, Probability
提供的学分
MasterTrack · 6-12 个月

University of California, Berkeley
您将获得的技能: User Research, Stakeholder Analysis, Materials science, Exploratory Data Analysis, Design Research, Java Programming, Semiconductors, Matplotlib, Pandas (Python Package), Medical Devices, Finite Element Methods, Team Leadership, Energy and Utilities, Control Systems, Environmental Engineering, Radiation Protection, Structural Engineering, Vibrations, Linear Algebra, Engineering Analysis
获得学位
学位 · 1-4 年