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。

您将获得的技能: Microarchitecture, Computer Architecture, Hardware Architecture, Computer Hardware, Computer Systems, Computer Science, Embedded Systems, OS Process Management, Computer Programming, C (Programming Language), Program Development, C# (Programming Language)
初级 · 课程 · 1-3 个月

Rice University
您将获得的技能: 数学建模, 工程计算, 微积分, 工程分析, 解决问题, 机械, 物理科学, 物理学, 机械工程
中级 · 课程 · 1-4 周
University of Illinois Urbana-Champaign
您将获得的技能: 数学建模, Networking 路由器, 微积分, 图论, 计算机结构, 硬件设计, Algorithm, 数据结构, 计算机辅助设计, 计算逻辑, 系统设计, 电气工程, 专用集成电路
中级 · 课程 · 1-3 个月

您将获得的技能: Matplotlib, NumPy, Data Visualization, Data Manipulation, Linear Algebra, Seaborn, Natural Language Processing, Deep Learning, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Python Programming, Data Preprocessing, Data Science, Regression Analysis, Data Structures, Logistic Regression
中级 · 课程 · 1-3 个月

Rice University
您将获得的技能: Python 程序设计, 应用数学, 计算机编程, Algorithm, 调试, 计划发展, 模拟, 软件测试, 开发测试, 计算思维, 编程原则, 概率, 面向对象编程(OOP), 游戏设计, 组合学
中级 · 课程 · 1-3 个月

University of Colorado Boulder
您将获得的技能: Python 程序设计, 数据分析, 数据科学, 分类算法, 数据预处理, 决策树学习, Scikit-learn (机器学习库), NumPy, 监督学习, 随机森林算法, 模型评估, 回归分析, 逻辑回归, 机器学习算法, 功能工程, 机器学习, 应用机器学习, 性能调整, 探索性数据分析
攻读学位
中级 · 课程 · 1-3 个月

University of Colorado Boulder
您将获得的技能: 卷积神经网络, 生成对抗网络 (GAN), 人工智能和机器学习(AI/ML), 模型评估, Keras(神经网络库), 自然语言处理, 性能调整, 应用机器学习, 递归神经网络 (RNN), 深度学习, 自动编码器, 人工神经网络, 张力流, 无监督学习, 图像分析
攻读学位
中级 · 课程 · 1-3 个月

Duke University
您将获得的技能: Pandas (Python Package), Data Cleansing, Data Manipulation, Data Preprocessing, Data Quality, NumPy, File I/O, Data Integration, 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

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

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