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。

Northeastern University
您将获得的技能: Model Evaluation, Linear Algebra, Statistical Machine Learning, Model Optimization, Statistical Modeling, Probability, Probability & Statistics, Statistical Methods, Bayesian Statistics, Probability Distribution, Machine Learning, Applied Mathematics, Algorithms, Statistical Inference, Verification And Validation, Dimensionality Reduction
混合 · 课程 · 1-4 周

New York University
您将获得的技能: 决策树学习, 金融交易, 机器学习方法, 探索性数据分析, 监督学习, 金融市场, 机器学习算法, Scikit Learn(机器学习库), 无监督学习, 机器学习软件, 机器学习, 人工神经网络, 强化学习, 相关性分析, 金融服务, 降维, 市场数据, Python 编程, 投资组合管理, 应用机器学习
中级 · 课程 · 1-4 周

LearnQuest
您将获得的技能: 数据处理, 机器学习方法, 无监督学习, 数据预处理, 机器学习算法, 机器学习, 监督学习, 预测建模, 人工神经网络, 分类算法, 降维, 数据转换, 人工智能和机器学习(AI/ML), 数据清理, 随机森林算法, Python 编程, 应用机器学习
中级 · 课程 · 1-4 周

Illinois Tech
您将获得的技能: Machine Learning Algorithms, Model Evaluation, Statistical Analysis, Data Visualization, Data Analysis, Exploratory Data Analysis, Statistical Methods, Data Presentation, Analysis, Probability & Statistics, Data Cleansing, Applied Machine Learning, Analytics, Machine Learning, Data Preprocessing, Data Processing, Model Training, Correlation Analysis, Decision Tree Learning, Logistic Regression
攻读学位
中级 · 课程 · 1-3 个月

您将获得的技能: Model Optimization, Calculus, Machine Learning Methods, NumPy, Machine Learning Algorithms, Applied Machine Learning, Tensorflow, Python Programming, Derivatives, Development Environment
中级 · 课程 · 1-3 个月

您将获得的技能: Model Evaluation, Unsupervised Learning, Model Training, Machine Learning Methods, Dimensionality Reduction, Data Preprocessing, Statistical Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Python Programming, Model Optimization, Recurrent Neural Networks (RNNs), Classification Algorithms
中级 · 课程 · 1-4 周

DeepLearning.AI
您将获得的技能: Algorithm, 回归分析, 数据预处理, 机器学习算法, 机器学习, NumPy, 监督学习, 功能工程, 模型优化, Scikit Learn(机器学习库), 预测建模, 算法, 分类算法, 逻辑回归, Model Evaluation, 模型培训, 人工智能, 模型评估, Python 编程, 应用机器学习, Jupyter
初级 · 课程 · 1-4 周

您将获得的技能: Dimensionality Reduction, R Programming, Time Series Analysis and Forecasting, Statistical Machine Learning, Machine Learning Algorithms, Applied Machine Learning, Unsupervised Learning, Predictive Modeling, Machine Learning, Text Mining, Classification Algorithms, Artificial Neural Networks, Forecasting, Data Mining, Data Preprocessing, Model Optimization, Model Evaluation, Exploratory Data Analysis
混合 · 课程 · 1-4 周

您将获得的技能: Supervised Learning, Model Optimization, Feature Engineering, Applied Machine Learning, Unsupervised Learning, Model Evaluation, Machine Learning Methods, Statistical Machine Learning, Machine Learning Algorithms, Predictive Modeling, Model Training, Data Preprocessing, Classification Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Dimensionality Reduction, Data Transformation, Fine-tuning
高级设置 · 课程 · 1-3 个月

您将获得的技能: Model Evaluation, Regression Analysis, Statistical Methods, Model Training, Data Visualization, Statistical Modeling, Plot (Graphics), Feature Engineering, Model Optimization, Predictive Modeling, Data Analysis, R Programming, Supervised Learning, Correlation Analysis, Probability & Statistics, Verification And Validation
混合 · 课程 · 1-4 周

The University of Chicago
您将获得的技能: 深度学习, 统计机器学习, 回归分析, Keras(神经网络库), 机器学习方法, 监督学习, 决策树学习, 分类算法, 机器学习, Scikit Learn(机器学习库), 机器学习软件, 无监督学习, 数据预处理, 机器学习算法, Model Evaluation, 模型培训, 降维, 模型评估, 人工智能和机器学习(AI/ML), 随机森林算法, 应用机器学习
中级 · 课程 · 1-3 个月

您将获得的技能: Data Analysis, Machine Learning Algorithms, Statistical Analysis, Probability & Statistics, Probability Distribution, R Programming, Machine Learning Methods, Statistical Methods, R (Software), Applied Machine Learning, Statistical Machine Learning, Statistics, Statistical Modeling, Machine Learning, Statistical Inference, Classification Algorithms, Statistical Programming, Correlation Analysis, Data Manipulation, Supervised Learning
混合 · 课程 · 1-4 周