概率图形模型课程可以帮助您学习贝叶斯网络、马尔可夫随机场和推理算法。您可以掌握不确定性建模、不确定性下的推理以及基于不完整数据进行预测的技能。许多课程都会介绍 TensorFlow Probability 和 PyMC3 等工具,这些工具用于实现这些 Model 和执行复杂的计算,使您能够将所学知识应用到现实世界的数据分析和机器学习任务中。

您将获得的技能: SAS (Software), Model Deployment, Model Evaluation, Predictive Analytics, Regression Analysis, Business Analytics, Data Preprocessing, Machine Learning Methods, Data Mining, Feature Engineering, Statistical Analysis, Decision Tree Learning, Data Transformation, Artificial Neural Networks
混合 · 课程 · 1-3 个月

Duke University
您将获得的技能: Matplotlib, Data Visualization, Predictive Modeling, Pandas (Python Package), Data Visualization Software, Predictive Analytics, Regression Analysis, Data Analysis, Data Cleansing, Data Science, Machine Learning Algorithms, Statistical Inference, Statistical Modeling, Probability & Statistics, Classification Algorithms, Python Programming
中级 · 课程 · 1-4 周

您将获得的技能: PyTorch (Machine Learning Library), Natural Language Processing, Generative Adversarial Networks (GANs), Transfer Learning, Vision Transformer (ViT), Deep Learning, Unsupervised Learning, Embeddings, Convolutional Neural Networks, Applied Machine Learning, Supervised Learning, Model Evaluation, Model Deployment, Flask (Web Framework)
中级 · 课程 · 1-3 个月

您将获得的技能: Predictive Modeling, Model Evaluation, Data Preprocessing, Predictive Analytics, Logistic Regression, Risk Modeling, Statistical Modeling, Feature Engineering, Regression Analysis, Correlation Analysis, Classification Algorithms, Data Manipulation, Scikit Learn (Machine Learning Library), Data Transformation, Pandas (Python Package), NumPy
混合 · 课程 · 1-3 个月

University of Pennsylvania
您将获得的技能: 概率分布, 风险管理, 数学建模, 微软Excel, 模拟和模拟软件, 预测建模, 电子表格软件, 运筹学, 风险分析, 统计分析, 统计假设检验, 数据驱动的决策制定
混合 · 课程 · 1-4 周

您将获得的技能: Statistical Inference, Probability Distribution, R Programming, Statistical Visualization, Statistics, Data Visualization, Statistical Analysis, Statistical Modeling, Statistical Hypothesis Testing, Data Analysis, Probability
初级 · 指导项目 · 不超过 2 小时

您将获得的技能: Model Evaluation, Feature Engineering, Supervised Learning, Exploratory Data Analysis, Classification Algorithms, Machine Learning Algorithms, Applied Machine Learning, Decision Tree Learning, Logistic Regression, Predictive Modeling, Data Analysis, Scikit Learn (Machine Learning Library), Data Preprocessing, Pandas (Python Package), NumPy, Data Cleansing
混合 · 课程 · 1-4 周

您将获得的技能: Cryptography, Classification Algorithms, Probability Distribution, Machine Learning Algorithms, Data Processing, Algorithms
中级 · 课程 · 1-4 周
University of Glasgow
您将获得的技能: Autoencoders, Model Evaluation, Deep Learning, Healthcare 5.0, Recurrent Neural Networks (RNNs), Applied Machine Learning, Time Series Analysis and Forecasting, Machine Learning, Convolutional Neural Networks, Responsible AI, Electocardiography, Artificial Neural Networks
中级 · 课程 · 1-4 周

您将获得的技能: Feature Engineering, Model Evaluation, Predictive Modeling, Model Deployment, Predictive Analytics, R Programming, Data Analysis, Statistical Analysis, Data Cleansing, Applied Machine Learning, Data Manipulation, Tidyverse (R Package), Classification Algorithms, Risk Modeling, Data Preprocessing, Machine Learning
中级 · 指导项目 · 不超过 2 小时

您将获得的技能: 模型评估, 数据操作, 机器学习, R 语言程序设计(中文版), 逻辑回归, 数据预处理, 临床数据管理, 随机森林算法, 预测建模, 数据管道, 应用机器学习, 预测分析, 数据可视化, Tidyverse(R 软件包), 功能工程, 性能调整
中级 · 指导项目 · 不超过 2 小时

您将获得的技能: Exploratory Data Analysis, Statistical Modeling, Regression Analysis, Data Visualization, Model Evaluation, Data Analysis, Statistical Methods, Scatter Plots, R Programming, Statistical Analysis, Plot (Graphics), R (Software), Ggplot2
初级 · 指导项目 · 不超过 2 小时