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Results for "bayesian+network"
University of California, Santa Cruz
Skills you'll gain: Time Series Analysis and Forecasting, Bayesian Statistics, R Programming, Forecasting, Statistical Inference, Statistical Modeling, Technical Communication, Data Analysis, Probability, Statistical Machine Learning, Statistical Methods, Statistical Analysis, Advanced Analytics, Microsoft Excel, Markov Model, Probability Distribution, Probability & Statistics, Unsupervised Learning, Regression Analysis, Predictive Modeling
Skills you'll gain: PyTorch (Machine Learning Library), Statistical Methods, Artificial Neural Networks, Deep Learning, Feature Engineering, Probability Distribution, Performance Tuning, Machine Learning, Regression Analysis, Data Processing
Johns Hopkins University
Skills you'll gain: Shiny (R Package), Rmarkdown, Regression Analysis, Leaflet (Software), Exploratory Data Analysis, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Plotly, Machine Learning Algorithms, Interactive Data Visualization, Probability & Statistics, Statistical Machine Learning, Feature Engineering, Statistical Analysis, Statistical Modeling, Probability, Correlation Analysis, Data Science, Data Analysis
DeepLearning.AI
Skills you'll gain: Generative AI, PyTorch (Machine Learning Library), Image Analysis, Deep Learning, Artificial Neural Networks, Data Ethics, Applied Machine Learning, Computer Vision, Machine Learning, Computer Graphics, Computer Graphic Techniques, Data Transformation, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Information Privacy, Data Synthesis
DeepLearning.AI
Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Probability Distribution, Probability, Linear Algebra, Statistical Inference, A/B Testing, Statistical Analysis, Applied Mathematics, NumPy, Calculus, Dimensionality Reduction, Machine Learning, Jupyter, Python Programming, Data Manipulation, Data Science
Duke University
Skills you'll gain: Sampling (Statistics), Exploratory Data Analysis, Statistical Inference, Probability Distribution, Bayesian Statistics, R Programming, Data Analysis, Probability, Statistics, Statistical Analysis, Statistical Software, Data Science, Descriptive Statistics
University of California, Santa Cruz
Skills you'll gain: Bayesian Statistics, Statistical Inference, Data Analysis, Probability, Statistical Modeling, Statistical Analysis, Microsoft Excel, Probability Distribution, R Programming, Regression Analysis
Duke University
Skills you'll gain: Statistical Hypothesis Testing, Statistical Inference, Statistical Reporting, Statistical Methods, R Programming, Statistical Software, Statistical Analysis, Probability & Statistics, Data Analysis, Sampling (Statistics), Probability Distribution, Software Installation
DeepLearning.AI
Skills you'll gain: Linear Algebra, NumPy, Dimensionality Reduction, Jupyter, Data Manipulation, Data Science, Machine Learning Algorithms, Applied Mathematics, Python Programming
Stanford University
Skills you'll gain: Bayesian Network, Applied Machine Learning, Graph Theory, Machine Learning Algorithms, Probability Distribution, Statistical Modeling, Markov Model, Decision Support Systems, Machine Learning, Predictive Modeling, Network Model, Probability & Statistics, Network Analysis, Statistical Inference, Statistical Machine Learning, Sampling (Statistics), Natural Language Processing, Statistical Methods, Algorithms
DeepLearning.AI
Skills you'll gain: Generative AI, PyTorch (Machine Learning Library), Image Analysis, Deep Learning, Artificial Neural Networks, Applied Machine Learning, Data Ethics, Computer Graphics, Machine Learning
- Status: Free
University of Zurich
Skills you'll gain: Probability, Probability Distribution, Probability & Statistics, Descriptive Statistics, Applied Mathematics, Statistical Methods, Risk Analysis, Financial Modeling
In summary, here are 10 of our most popular bayesian+network courses
- Bayesian Statistics: University of California, Santa Cruz
- Introduction to Neural Networks and PyTorch: IBM
- Data Science: Statistics and Machine Learning: Johns Hopkins University
- Generative Adversarial Networks (GANs): DeepLearning.AI
- Mathematics for Machine Learning and Data Science: DeepLearning.AI
- Introduction to Probability and Data with R: Duke University
- Bayesian Statistics: From Concept to Data Analysis: University of California, Santa Cruz
- Inferential Statistics: Duke University
- Linear Algebra for Machine Learning and Data Science: DeepLearning.AI
- Probabilistic Graphical Models: Stanford University