抽象代数课程可以帮助您学习群论、环论、场论和数学系统结构。您可以培养解决问题、逻辑推理和抽象思维方面的技能,这些技能对于应对复杂的数学挑战至关重要。许多课程都会介绍代数计算的计算软件和可视化技术等工具,有助于理解代数结构及其在密码学、编码理论和计算机科学中的应用。

Board Infinity
您将获得的技能: Arithmetic, Quick Learning, Logical Reasoning, Problem Solving, Learning Strategies, Applied Mathematics, Analytical Skills, Advanced Mathematics, Business Mathematics, Algebra, Computational Logic, General Mathematics
初级 · 课程 · 1-4 周

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

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

University of Colorado Boulder
您将获得的技能: Scientific Visualization, NumPy, Data Visualization, Debugging, Matplotlib, Numerical Analysis, Engineering Calculations, Integrated Development Environments, Computational Thinking, Engineering Analysis, Programming Principles, Jupyter, Data Analysis, Computer Programming
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

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

DeepLearning.AI
您将获得的技能: Deep Learning, Supervised Learning, Artificial Neural Networks, Convolutional Neural Networks, Computer Vision, Recurrent Neural Networks (RNNs), Machine Learning, Performance Tuning, Python Programming, NumPy, Linear Algebra, Algorithms
中级 · 课程 · 1-4 周

您将获得的技能: Sampling (Statistics), Matplotlib, Data Analysis, Data Mining, Statistical Analysis, Statistical Hypothesis Testing, NumPy, Pandas (Python Package), Probability Distribution, Dimensionality Reduction, Model Evaluation, R Programming, Probability, Python Programming, Scikit Learn (Machine Learning Library), Data Preprocessing, Linear Algebra, Applied Machine Learning, Regression Analysis, Artificial Intelligence and Machine Learning (AI/ML)
初级 · 专项课程 · 3-6 个月

The University of Edinburgh
您将获得的技能: Dignity in Care, Empowerment, Healthcare Ethics, Accountability, Ethical Standards And Conduct, Research, digital literacy, Interactive Learning, Social Justice, Discussion Facilitation, Diversity Awareness, Patient-centered Care, Advocacy, Law, Regulation, and Compliance
混合 · 课程 · 1-4 周

Pontificia Universidad Católica de Chile
您将获得的技能: Engineering Analysis, Engineering Calculations, Numerical Analysis, Finite Element Methods, Chemical Engineering, Simulation and Simulation Software, Differential Equations, Applied Mathematics, NumPy, Mathematical Modeling, Scientific Visualization, Python Programming, Plot (Graphics), Linear Algebra, Algorithms
中级 · 课程 · 1-3 个月

您将获得的技能: Sampling (Statistics), Data Mining, Statistical Hypothesis Testing, Probability, Linear Algebra, Statistical Analysis, Statistical Inference, Data Analysis, Probability Distribution, Statistics, Machine Learning Algorithms, Machine Learning, Python Programming
混合 · 课程 · 1-4 周

DeepLearning.AI
您将获得的技能: Convolutional Neural Networks, Image Analysis, Computer Vision, Deep Learning, Artificial Neural Networks, Transfer Learning, Applied Machine Learning, Network Architecture, Algorithms
中级 · 课程 · 1-4 周