机器学习线性代数》课程可以帮助您学习 Matrix 运算、向量空间、特征值和线性变换。您可以掌握解方程组、降维和理解数据表示的技能。许多课程都会介绍 NumPy 和 MATLAB 等工具,这些工具支持在 AI 和机器学习项目中高效地实施算法和执行计算。

您将获得的技能: Predictive Modeling, Matplotlib, Machine Learning Methods, Applied Machine Learning, Seaborn, Statistical Modeling, Data Visualization, Plot (Graphics), Regression Analysis, Machine Learning Algorithms, Pandas (Python Package), Predictive Analytics, Statistical Analysis, Scientific Visualization, Machine Learning Software, Machine Learning, Supervised Learning, Data Science, Statistical Methods, Probability & Statistics
中级 · 课程 · 1-3 个月
University of Illinois Urbana-Champaign
您将获得的技能: 高级分析, 监督学习, 数据预处理, 无监督学习, 回归分析, 预测建模, Python 编程, 分析, 业务分析, 决策树学习, 商业分析, 分类算法, 机器学习, 应用机器学习, Scikit Learn(机器学习库), 机器学习方法, 机器学习算法
攻读学位
中级 · 课程 · 1-4 周

National Taiwan University
您将获得的技能: Supervised Learning, Model Training, Machine Learning, Machine Learning Methods, Statistical Machine Learning, Model Evaluation, Machine Learning Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Theoretical Computer Science, Classification Algorithms, Mathematical Modeling, Statistical Methods, Mathematical Theory & Analysis, Probability, Probability & Statistics, Algorithms
初级 · 课程 · 1-3 个月

Johns Hopkins University
您将获得的技能: 统计分析, R 程序设计, 数据科学, 线性代数, 衍生产品, 预测建模, 回归分析, 数据建模, 应用数学, 统计方法, 统计资料, 统计建模, 数学建模, 普通数学
高级设置 · 课程 · 1-3 个月

您将获得的技能: 模型评估, 数据存储技术, 数据科学, 数据预处理, Apache Spark, PySpark, 数据管道, 大数据, 数据处理, 机器学习, 应用机器学习, 描述性统计, 统计机器学习, 数据存储, Model Evaluation, 机器学习方法, 机器学习算法
中级 · 课程 · 1-4 周

Northeastern University
您将获得的技能: Model Evaluation, Supervised Learning, Statistical Machine Learning, Machine Learning Algorithms, Unsupervised Learning, Machine Learning Methods, PyTorch (Machine Learning Library), Applied Machine Learning, Statistical Methods, Statistical Modeling, Model Optimization, Model Training, Machine Learning, Machine Learning Software, Statistical Analysis, Artificial Intelligence and Machine Learning (AI/ML), Regression Analysis, Algorithms, Dimensionality Reduction, Complex Problem Solving
中级 · 课程 · 1-4 周

Arizona State University
您将获得的技能: Supervised Learning, Unsupervised Learning, Generative Adversarial Networks (GANs), Generative AI, Model Training, Deep Learning, Image Analysis, Machine Learning Methods, Machine Learning Algorithms, Applied Machine Learning, Python Programming, Machine Learning, Generative Model Architectures, Artificial Neural Networks, Model Evaluation, Data Processing, Classification Algorithms, Computer Vision, Computer Programming, Regression Analysis
初级 · 课程 · 1-4 周
University of Michigan
您将获得的技能: 模型评估, 分类与回归树 (CART), 监督学习, 机器学习软件, 预测建模, 功能工程, 分类算法, Python 编程, 机器学习, 数据分析, 分析, 逻辑回归, 应用机器学习, 数据分析软件, 决策树学习, 预测分析, Scikit Learn(机器学习库), 机器学习方法, Model Evaluation, 机器学习算法
中级 · 课程 · 1-4 周

University of Glasgow
您将获得的技能: Model Training, Model Evaluation, Data Preprocessing, Machine Learning Methods, Statistical Methods, Statistical Machine Learning, Data Validation, Data Quality, Mathematical Software, Classification Algorithms, Machine Learning Algorithms
初级 · 课程 · 1-3 个月

您将获得的技能: Data Cleansing, PySpark, Data Manipulation, Data Preprocessing, Data Processing, Apache Spark, Data Analysis, Applied Machine Learning, Predictive Modeling, Big Data, Machine Learning, Regression Analysis
中级 · 指导项目 · 不超过 2 小时

Simplilearn
您将获得的技能: Predictive Analytics, Regression Analysis, Predictive Modeling, Machine Learning, Forecasting, Machine Learning Algorithms, Case Studies, Algorithms
初级 · 课程 · 1-4 周
您将获得的技能: Model Training, Java Programming, Java, Feature Engineering, Machine Learning Methods, Statistical Machine Learning, Machine Learning Algorithms, Deep Learning, Data Pipelines
高级设置 · 课程 · 1-4 周