Filter by
The language used throughout the course, in both instruction and assessments.
76 results for "bayesian"
University of California, Santa Cruz
Skills you'll gain: Bayesian Statistics, General Statistics, Probability & Statistics, Probability Distribution, Markov Model, R Programming
University of California, Santa Cruz
Skills you'll gain: Mathematics, Bayesian Statistics, Forecasting, R Programming
- Status: Free
Stanford University
Skills you'll gain: General Statistics, Probability & Statistics, Statistical Analysis, Critical Thinking, Basic Descriptive Statistics, Data Analysis, Statistical Tests, Probability Distribution, Problem Solving, Statistical Visualization
DeepLearning.AI
Skills you'll gain: General Statistics, Probability & Statistics, Statistical Analysis
Skills you'll gain: Data Analysis, Exploratory Data Analysis, Machine Learning, Statistical Machine Learning, Feature Engineering, General Statistics, Probability & Statistics, Statistical Analysis, Algorithms, Databases
Coursera Project Network
Skills you'll gain: Data Analysis, Machine Learning
Skills you'll gain: Data Analysis, Data Visualization, Data Science, Machine Learning, Python Programming
Coursera Project Network
Skills you'll gain: Deep Learning, Machine Learning
University of Colorado Boulder
Skills you'll gain: Bayesian Statistics
Skills you'll gain: Machine Learning, Machine Learning Algorithms, Machine Learning Software, Python Programming, Statistical Programming, Apache, Data Management, Extract, Transform, Load, Feature Engineering, Probability & Statistics, Human Learning
Johns Hopkins University
Skills you'll gain: Data Analysis, Probability & Statistics, Statistical Analysis, Correlation And Dependence, Experiment, General Statistics, Mathematical Theory & Analysis, Research and Design
University of Leeds
Searches related to bayesian
In summary, here are 10 of our most popular bayesian courses
- Bayesian Statistics: Mixture Models:Â University of California, Santa Cruz
- Bayesian Statistics: Time Series Analysis:Â University of California, Santa Cruz
- Introduction to Statistics:Â Stanford University
- Probability & Statistics for Machine Learning & Data Science:Â DeepLearning.AI
- Exploratory Data Analysis for Machine Learning:Â IBM
- ML Parameters Optimization: GridSearch, Bayesian, Random:Â Coursera Project Network
- AI Workflow: Data Analysis and Hypothesis Testing:Â IBM
- Hyperparameter Tuning with Keras Tuner:Â Coursera Project Network
- Classification Analysis:Â University of Colorado Boulder
- Advanced Machine Learning and Signal Processing:Â IBM