
DeepLearning.AI
您将获得的技能: 描述性统计, 机器学习, A/B 测试, 贝叶斯统计, 统计分析, 线性代数, 概率分布, 微积分, 统计推理, 数据转换, 数学建模, 概率与统计, 统计假设检验, NumPy, 概率, 应用数学, 降维, 抽样(统计), Machine Learning 方法, 数值分析
中级 · 专项课程 · 1-3 个月

多位教师
您将获得的技能: 机器学习, Python 程序设计, 深度学习, 预测建模, 负责任的人工智能, 人工智能和机器学习(AI/ML), 数据伦理, NumPy, 应用机器学习, 强化学习, 随机森林算法, 人工智能, 决策树学习, Jupyter, 监督学习, 分类与回归树 (CART), 功能工程, 无监督学习, 张力流, Scikit-learn (机器学习库)
初级 · 专项课程 · 1-3 个月

Dartmouth College
您将获得的技能: Supervised Learning, Predictive Modeling, Predictive Analytics, Statistical Modeling, Machine Learning, Machine Learning Algorithms, Regression Analysis, Probability & Statistics, Linear Algebra
中级 · 课程 · 1-3 个月

University of Colorado Boulder
您将获得的技能: Statistical Modeling, Applied Machine Learning, Unsupervised Learning, Classification And Regression Tree (CART), Data Science, Decision Tree Learning, Statistical Methods, Artificial Neural Networks, Statistical Analysis, Regression Analysis, Predictive Modeling, Supervised Learning, R Programming, Statistical Inference, Statistical Machine Learning, Dimensionality Reduction, Machine Learning, Advanced Analytics, Random Forest Algorithm, Sampling (Statistics)
攻读学位
中级 · 专项课程 · 3-6 个月

IBM
您将获得的技能: 机器学习, 预测建模, 回归分析, Scikit-learn (机器学习库), 降维, 决策树学习, 统计建模, 应用机器学习, 无监督学习, 功能工程, 分类与回归树 (CART), 监督学习
中级 · 课程 · 1-3 个月

DeepLearning.AI
您将获得的技能: 描述性统计, A/B 测试, 探索性数据分析, 概率分布, 贝叶斯统计, 数据科学, 统计分析, 统计推理, 概率与统计, 统计可视化, 统计假设检验, 概率, 抽样(统计), 统计机器学习
中级 · 课程 · 1-4 周

Duke University
您将获得的技能: Python 程序设计, 机器学习, 深度学习, 人工神经网络, 自然语言处理, PyTorch(机器学习库), 强化学习, 计算机视觉, 医学影像, 监督学习, 应用机器学习, Machine Learning 方法, 图像分析, 无监督学习
中级 · 课程 · 1-3 个月

Northeastern University
您将获得的技能: Unsupervised Learning, Supervised Learning, Regression Analysis, Applied Machine Learning, Statistical Modeling, Machine Learning Algorithms, PyTorch (Machine Learning Library), Statistical Methods, Statistical Machine Learning, Machine Learning, Predictive Analytics, Predictive Modeling, Statistical Programming, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Probability & Statistics, Dimensionality Reduction
中级 · 课程 · 1-3 个月

您将获得的技能: Feature Engineering, Microsoft Azure, Applied Machine Learning, Machine Learning, Machine Learning Algorithms, Data Processing, Data Cleansing, Supervised Learning, Data Transformation, MLOps (Machine Learning Operations), Application Deployment, Artificial Intelligence and Machine Learning (AI/ML), CI/CD, Statistical Methods, Data Quality, Real Time Data, Resource Management
中级 · 专项课程 · 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

Imperial College London
您将获得的技能: 机器学习, Python 程序设计, 回归分析, Algorithm, 数据操作, 线性代数, 机器学习算法, 统计分析, 统计, 微积分, 数据科学, 人工神经网络, NumPy, 概率与统计, 降维, 应用数学, Jupyter, 衍生产品, 高等数学
初级 · 专项课程 · 3-6 个月

您将获得的技能: Machine Learning Methods, Healthcare Ethics, Health Informatics, Machine Learning, Deep Learning, Clinical Informatics, Statistical Machine Learning, Predictive Modeling, Electronic Medical Record System, Machine Learning Algorithms, Data Mining, Data Processing, Data Analysis
中级 · 课程 · 1-4 周