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

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

École Polytechnique Fédérale de Lausanne
您将获得的技能: 电气工程, 电气与计算机工程, 通信系统, 数字通信, 电子产品, 数字信号处理, 电信, 嵌入式系统, 图像分析, Algorithm, 算法
中级 · 课程 · 1-4 周

Rice University
您将获得的技能: Physics, electromagnetics, Materials science, Mechanics, Physical Science, Vibrations, Trigonometry, Mathematical Modeling, Advanced Mathematics, Linear Algebra, Engineering Analysis, Differential Equations, Applied Mathematics, Problem Solving
中级 · 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 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

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, 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: 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

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