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

Rice University
您将获得的技能: 物理学, 解决问题, 数学建模, 机械工程, 机械, 微积分, 物理科学, 工程计算, 工程分析
中级 · 课程 · 1-4 周

Birla Institute of Technology & Science, Pilani
您将获得的技能: Electronic Systems, Semiconductors, Basic Electrical Systems, Electrical Engineering, Electronics, Electronic Components, Electronics Engineering, Power Electronics, Electrical Systems, Engineering Analysis, Network Analysis, Engineering Calculations, Control Systems, Applied Mathematics
攻读学位
初级 · 课程 · 1-3 个月

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

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

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

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

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

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

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