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。

Alberta Machine Intelligence Institute
您将获得的技能: 机器学习, Model Evaluation, 工艺优化, 业务解决方案, 模型评估, 监督学习, 应用机器学习, Python 编程, 分类算法, 决策树学习, Scikit Learn(机器学习库), 数据预处理, Jupyter, 回归分析, 功能工程, 数据处理, 性能分析, 机器学习算法
混合 · 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: 数学建模, 工程分析, 物理科学, 工程计算, 解决问题, 微积分, 机械, 物理学, 机械工程
中级 · 课程 · 1-4 周

Packt
您将获得的技能: 机器学习, 自然语言处理, 深度学习, 数据可视化, Python 编程, 数据操作, 数据结构, 人工智能和机器学习(AI/ML), 逻辑回归, 数据科学, 数据预处理, Seaborn, 回归分析, 线性代数, Matplotlib, NumPy
中级 · 课程 · 1-3 个月

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

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

您将获得的技能: Data Visualization, Exploratory Data Analysis, Data Presentation, Probability Distribution, Statistical Hypothesis Testing, Dashboard, Data Analysis, Data Science, Probability & Statistics, Statistical Analysis, Jupyter, Matplotlib, Data Preprocessing, Data Cleansing, Pandas (Python Package), Statistical Inference, Statistics, Data Manipulation, Python Programming, Machine Learning
高级设置 · 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

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

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

University of London
您将获得的技能: Combinatorics, Probability & Statistics, Data Analysis, Advanced Mathematics, Linear Algebra, Mathematics and Mathematical Modeling, Mathematical Theory & Analysis, Applied Mathematics, Statistics, Analysis, Statistical Analysis, Probability, Algorithms, Algebra
初级 · 课程 · 1-4 周