代数课程可以帮助您学习解方程、处理不等式、理解函数及其图形。您还可以培养处理代数表达式、分解多项式以及将代数概念应用于实际问题的技能。许多课程都会介绍一些工具,如图形计算器和函数 Visualization 软件,这些工具可以提高您分析数据和建立关系模型的能力。

Rice University
您将获得的技能: Mechanics, Physics, Vibrations, Advanced Mathematics, Differential Equations, Calculus, Trigonometry, Applied Mathematics, Problem Solving
中级 · 课程 · 1-4 周

The Hong Kong University of Science and Technology
您将获得的技能: 数学软件, 数值分析, 数学建模, 工程分析, 应用数学, 微积分, 微分方程, 模拟和模拟软件, 高等数学, Matlab, 机械工程, 有限元方法
中级 · 课程 · 1-4 周

Rice University
您将获得的技能: 工程分析, 解决问题, 电气工程, 扭矩(物理学), 电磁学, 应用数学, 电气系统, 机械, 微积分, 三角法, 物理学
中级 · 课程 · 1-4 周

IBM
您将获得的技能: Model Evaluation, 数据转换, 无监督学习, 深度学习, 时间序列分析和预测, 预测, Pandas(Python 软件包), 数据预处理, 降维, 统计方法, 模型评估, Jupyter, 应用机器学习, 统计分析, 预测建模
中级 · 课程 · 1-4 周

您将获得的技能: Model Evaluation, Tensorflow, Supervised Learning, Artificial Neural Networks, Regression Analysis, Machine Learning Methods, Applied Machine Learning, Machine Learning Algorithms, Deep Learning, Image Analysis, Machine Learning, Random Forest Algorithm, Artificial Intelligence and Machine Learning (AI/ML), Decision Tree Learning, Natural Language Processing, Scikit Learn (Machine Learning Library), Convolutional Neural Networks, Computer Vision, Data Science, Python Programming
高级设置 · 课程 · 1-4 周

Duke University
您将获得的技能: Pandas (Python Package), Data Cleansing, Data Manipulation, Data Preprocessing, Data Quality, NumPy, File I/O, Query Languages, Python Programming, Data Import/Export, Data Analysis, Exploratory Data Analysis, Debugging
初级 · 课程 · 1-4 周

您将获得的技能: Model Deployment, MLOps (Machine Learning Operations), Cloud Deployment, Unit Testing, Docker (Software), Containerization, Kubernetes, AI Workflows, IBM Cloud, Microservices, Machine Learning, Responsible AI, Business Metrics, Natural Language Processing, Time Series Analysis and Forecasting, Data Science, Python Programming
高级设置 · 课程 · 1-4 周

您将获得的技能: Feature Engineering, Data Ethics, Unsupervised Learning, Dimensionality Reduction, Responsible AI, Text Mining, Data Preprocessing, Data Transformation, MLOps (Machine Learning Operations), Anomaly Detection, Exploratory Data Analysis, Machine Learning Methods, Machine Learning, Model Evaluation, Natural Language Processing, Data Science, Quality Assurance, Data Pipelines, Data Visualization, Python Programming
高级设置 · 课程 · 1-4 周

Rice University
您将获得的技能: Physics, Applied Mathematics, Geometry, Engineering Analysis, Advanced Mathematics, Physical Science, Mathematical Modeling, Trigonometry, Calculus, Algebra, Mathematical Theory & Analysis, Problem Solving
中级 · 课程 · 1-4 周

您将获得的技能: Model Deployment, Apache Spark, Data Pipelines, MLOps (Machine Learning Operations), PySpark, IBM Cloud, Jupyter, Docker (Software), Machine Learning, Data Science, Python Programming, Scalability, Design Thinking
高级设置 · 课程 · 1-4 周

Illinois Tech
您将获得的技能: Model Evaluation, Statistical Analysis, Data Visualization, Data Analysis, Exploratory Data Analysis, Data Cleansing, Analytics, Machine Learning, Data Preprocessing, Regression Analysis, Data Mining, Python Programming, Scikit Learn (Machine Learning Library), Unsupervised Learning, Classification And Regression Tree (CART), Decision Tree Learning, Logistic Regression
攻读学位
中级 · 课程 · 1-3 个月

Alberta Machine Intelligence Institute
您将获得的技能: 机器学习, Model Evaluation, 系统集成, 利益攸关方沟通, 应用机器学习, 人工智能赋能, 风险缓解, MLOps(机器学习运营), 模型评估, 人工智能产品战略, 性能指标, 性能调整, 持续监测, 业务运营, 负责任的人工智能, 模型部署, 数据维护, 道德标准与行为, 数据伦理, 运行分析, 企业战略
混合 · 课程 · 1-4 周