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Results for "bayesian network"
- Status: Free
Coursera Project Network
Skills you'll gain: Project Estimation, Project Schedules, Work Breakdown Structure, Estimation, Scheduling, Timelines, Project Planning, Project Management, Probability & Statistics
- Status: Free Trial
Duke University
Skills you'll gain: Sampling (Statistics), Exploratory Data Analysis, Statistical Inference, Probability Distribution, Bayesian Statistics, R Programming, Data Analysis, Probability, Statistics, Statistical Software, Descriptive Statistics
- Status: Free Trial
DeepLearning.AI
Skills you'll gain: Risk Modeling, Decision Tree Learning, Predictive Modeling, Feature Engineering, Applied Machine Learning, Random Forest Algorithm, Forecasting, Machine Learning, Statistical Methods, Statistical Analysis, Probability & Statistics, Data Analysis, Regression Analysis, Deep Learning
- Status: Free Trial
University of California, Davis
Skills you'll gain: Network Analysis, Data Wrangling, Social Sciences, Graph Theory, Statistical Visualization, Data Visualization Software, Predictive Analytics, Scientific Methods, Simulations
- Status: Free Trial
Skills you'll gain: Social Media Marketing, Social Media, Target Audience, Social Media Strategy, Social Media Management, Marketing, Key Performance Indicators (KPIs), Goal Setting, Facebook, Customer Analysis, Marketing Strategies, Marketing Channel, Digital Media Strategy, Instagram, Digital Marketing
- Status: Free Trial
DeepLearning.AI
Skills you'll gain: Natural Language Processing, Markov Model, Text Mining, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Machine Learning Methods, Data Processing, Algorithms, Data Cleansing, Probability & Statistics
- Status: Free Trial
University of Alberta
Skills you'll gain: Reinforcement Learning, Sampling (Statistics), Machine Learning Algorithms, Simulations, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Algorithms, Probability Distribution
- Status: Free Trial
Duke University
Skills you'll gain: Statistical Hypothesis Testing, Statistical Inference, Statistical Reporting, Statistical Methods, R Programming, Statistical Software, Statistical Analysis, Probability & Statistics, Data Literacy, Sampling (Statistics), Probability Distribution, Software Installation
- Status: Free Trial
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 Vision, Artificial Intelligence, Unsupervised Learning
- Status: Free Trial
DeepLearning.AI
Skills you'll gain: Unsupervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Data Ethics, Machine Learning, Machine Learning Algorithms, Supervised Learning, Artificial Intelligence, Reinforcement Learning, Artificial Neural Networks, Deep Learning, Anomaly Detection, Predictive Modeling, Dimensionality Reduction, Algorithms, Collaborative Software
- Status: Free Trial
University of Michigan
Skills you'll gain: Pandas (Python Package), Jupyter, NumPy, Data Manipulation, Data Science, Data Analysis, Statistical Analysis, Pivot Tables And Charts, Data Cleansing, Data Import/Export, Probability & Statistics, Python Programming, Programming Principles
- Status: Free Trial
DeepLearning.AI
Skills you'll gain: Classification And Regression Tree (CART), Machine Learning Algorithms, Machine Learning, Applied Machine Learning, Data Ethics, Decision Tree Learning, Tensorflow, Artificial Intelligence, Supervised Learning, Deep Learning, Random Forest Algorithm, Artificial Neural Networks, Performance Tuning
In summary, here are 10 of our most popular bayesian network courses
- Project Scheduling: Estimate Activity Durations:Â Coursera Project Network
- Introduction to Probability and Data with R:Â Duke University
- AI for Medical Prognosis :Â DeepLearning.AI
- Social Network Analysis:Â University of California, Davis
- Introduction to Social Media Marketing:Â Meta
- Natural Language Processing with Probabilistic Models:Â DeepLearning.AI
- Sample-based Learning Methods:Â University of Alberta
- Inferential Statistics:Â Duke University
- Build Basic Generative Adversarial Networks (GANs):Â DeepLearning.AI
- Unsupervised Learning, Recommenders, Reinforcement Learning:Â DeepLearning.AI