Probabilistic Graphical Models courses can help you learn Bayesian networks, Markov random fields, and inference algorithms. You can build skills in modeling uncertainty, reasoning under uncertainty, and making predictions based on incomplete data. Many courses introduce tools like TensorFlow Probability and PyMC3, which are used for implementing these models and performing complex calculations, enabling you to apply your knowledge to real-world data analysis and machine learning tasks.

DeepLearning.AI
Skills you'll gain: Natural Language Processing, Markov Model, Embeddings, Text Mining, Data Preprocessing, Artificial Neural Networks, Machine Learning Methods, Algorithms, Model Training, Data Cleansing, Probability & Statistics
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: PyTorch (Machine Learning Library), Natural Language Processing, Generative Adversarial Networks (GANs), Vision Transformer (ViT), Deep Learning, Generative Model Architectures, Graph Theory, Dimensionality Reduction, Network Model, Unsupervised Learning, Model Optimization, Embeddings, Artificial Neural Networks, Machine Learning Methods, Supervised Learning, Model Evaluation, Model Training, Model Deployment, Flask (Web Framework)
Intermediate · Course · 1 - 3 Months

DeepLearning.AI
Skills you'll gain: Generative Adversarial Networks (GANs), Generative AI, Generative Model Architectures, PyTorch (Machine Learning Library), Model Training, Model Evaluation, Responsible AI, Data Ethics, Machine Learning, Image Quality
Intermediate · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Model Optimization, Token Optimization, Model Deployment, Generative AI, Performance Tuning, Model Evaluation, Performance Testing, Cross Platform Development, PyTorch (Machine Learning Library), Memory Management, Development Environment, Hardware Architecture, Scalability
Intermediate · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Statistical Modeling, Exploratory Data Analysis, R Programming, Predictive Modeling, Sampling (Statistics), Statistical Hypothesis Testing, Tidyverse (R Package), Data Analysis, Data Modeling, Data-Driven Decision-Making, Regression Analysis, Data Science, Statistical Inference, Predictive Analytics, Rmarkdown, Statistical Methods, Applied Machine Learning, Model Evaluation, Machine Learning
Mixed · Course · 1 - 3 Months

Skills you'll gain: Statistical Inference, Probability Distribution, R Programming, Statistical Visualization, R (Software), Statistical Programming, Statistical Methods, Probability & Statistics, Statistics, Data Visualization, Statistical Analysis, Plot (Graphics), Statistical Modeling, Statistical Hypothesis Testing, Data Analysis, Probability
Beginner · Guided Project · Less Than 2 Hours

Johns Hopkins University
Skills you'll gain: Regression Analysis, Logistic Regression, Correlation Analysis, Statistical Inference, Model Evaluation, Statistical Methods, Statistics, Data Analysis, Statistical Modeling, Statistical Analysis, Mathematical Modeling, Probability & Statistics, Predictive Modeling, Probability
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Model Optimization, Data Preprocessing, Model Training, Model Deployment, Statistical Analysis, Performance Metric, Deposit Accounts
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Feature Engineering, Supervised Learning, Exploratory Data Analysis, Classification Algorithms, Machine Learning Algorithms, Applied Machine Learning, Model Deployment, Decision Tree Learning, Logistic Regression, Data Analysis, Data Preprocessing, Pandas (Python Package), NumPy
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Logistic Regression, Model Evaluation, Data Preprocessing, Model Optimization, R Programming, Feature Engineering, Risk Modeling, Applied Machine Learning, Regression Analysis, Machine Learning Methods, Supervised Learning, Credit Risk, Performance Metric, Dimensionality Reduction
Mixed · Course · 1 - 4 Weeks

28DIGITAL
Skills you'll gain: Computational Logic, Markov Model, Verification And Validation, Theoretical Computer Science, Mathematical Modeling, Systems Analysis, Software Testing, Statistical Modeling, Process Modeling, Probability, Algorithms, Probability Distribution, Applied Mathematics
Intermediate · Course · 1 - 3 Months
University of Washington
Skills you'll gain: Unsupervised Learning, Supervised Learning, Data Science, Machine Learning Methods, Predictive Analytics, Applied Machine Learning, Analytics, Data Analysis, R Programming, Model Optimization, Statistical Methods, Decision Tree Learning, Statistical Inference, Statistical Analysis, Machine Learning, Statistics, Graph Theory, Classification Algorithms, Network Analysis, Big Data
Mixed · Course · 1 - 4 Weeks