Machine Learning 数学课程通常教授线性代数、微积分、概率和统计学,为理解算法打下坚实的基础。您可以掌握优化技术、数据分析和模型评估方面的技能,这些技能对于有效的机器学习应用至关重要。许多课程都会介绍 NumPy 和 TensorFlow 等 Python 库等工具,帮助您在 AI 项目中实现数学概念,提高您使用数据驱动模型的能力。

Coursera
您将获得的技能: Model Evaluation, Supervised Learning, Unsupervised Learning, Data Preprocessing, Time Series Analysis and Forecasting, Applied Machine Learning, Machine Learning Algorithms, Feature Engineering, Dimensionality Reduction, Machine Learning, Predictive Modeling, Predictive Analytics, Scikit Learn (Machine Learning Library), Classification Algorithms, Forecasting, Decision Tree Learning, Anomaly Detection, Data Manipulation, Regression Analysis, Statistical Modeling
中级 · 课程 · 1-4 周

Johns Hopkins University
您将获得的技能: Descriptive Statistics, Linear Algebra, Exploratory Data Analysis, Data-Driven Decision-Making, Data Analysis, Statistics, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Probability, Regression Analysis, Calculus, Mathematical Software, Statistical Analysis, Advanced Mathematics, Applied Mathematics, Probability Distribution, Mathematical Modeling, Integral Calculus, Dimensionality Reduction, Graphing
初级 · 课程 · 1-3 个月

您将获得的技能: Data Preprocessing, Unsupervised Learning, Model Evaluation, Time Series Analysis and Forecasting, Supervised Learning, Machine Learning, Feature Engineering, Artificial Intelligence, Deep Learning, Classification Algorithms, Statistical Analysis, Regression Analysis
中级 · 课程 · 1-4 周

您将获得的技能: Model Evaluation, Feature Engineering, Data Preprocessing, Financial Data, Predictive Modeling, Customer Demand Planning, Data-Driven Decision-Making, Exploratory Data Analysis, R Programming, Customer Analysis, Predictive Analytics, Profit and Loss (P&L) Management, Risk Modeling, Inventory Management System, Analytics, Advanced Analytics, Supply Chain Management, Business Analytics, Machine Learning, Business
初级 · 专项课程 · 1-3 个月

Imperial College London
您将获得的技能: Python 编程, 回归分析, 线性代数, 衍生产品, 机器学习算法, 微积分, 高等数学, 人工神经网络, 数学建模
初级 · 课程 · 1-3 个月

Korea Advanced Institute of Science and Technology(KAIST)
您将获得的技能: 深度学习, 机器学习, 人工智能, 应用数学, 线性代数, 监督学习, 数学建模
初级 · 课程 · 1-3 个月

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

Simplilearn
您将获得的技能: Mathematical Modeling, Linear Algebra, Dimensionality Reduction, Applied Mathematics, Data Analysis, Feature Engineering, Applied Machine Learning, Analytics, Data Science, Unsupervised Learning
初级 · 课程 · 1-4 周

您将获得的技能: Apache Spark, MLOps (Machine Learning Operations), Large Language Modeling, Keras (Neural Network Library)
中级 · 课程 · 1-3 个月

您将获得的技能: Model Evaluation, Unsupervised Learning, Dimensionality Reduction, Data Preprocessing, Python Programming, Recurrent Neural Networks (RNNs), Reinforcement Learning
中级 · 课程 · 1-4 周

多位教师
您将获得的技能: 模型评估, 分类算法, 无监督学习, 数据伦理, 深度学习, 数据预处理, 机器学习, 人工智能, Scikit Learn(机器学习库), 张力流, 预测建模, 强化学习, 迁移学习, Jupyter, 决策树学习, 应用机器学习, 监督学习, 功能工程, NumPy, 随机森林算法
初级 · 专项课程 · 1-3 个月

IBM
您将获得的技能: Python 编程, 模型评估, 机器学习, 分类算法, 无监督学习, 降维, Scikit Learn(机器学习库), 预测建模, 决策树学习, 回归分析, 应用机器学习, 功能工程, 逻辑回归, 监督学习
中级 · 课程 · 1-3 个月