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Results for "discrete random variables"
Stanford University
Skills you'll gain: Algorithms, Graph Theory, Data Structures, Theoretical Computer Science, Computational Thinking, Mathematical Theory & Analysis, Analysis, Probability, Design Strategies
University of Pennsylvania
Skills you'll gain: Risk Modeling, Probability Distribution, Mathematical Modeling, Risk Management, Data Visualization, Predictive Modeling, Data Modeling, Probability, Strategic Decision-Making, Simulation and Simulation Software, Forecasting, Data-Driven Decision-Making, Statistics, Microsoft Excel
Johns Hopkins University
Skills you'll gain: Sampling (Statistics), Bayesian Statistics, Probability & Statistics, Statistical Inference, Statistical Methods, Probability, Probability Distribution, Data Analysis, Statistical Analysis, Biostatistics
Skills you'll gain: Supervised Learning, Feature Engineering, Jupyter, Unsupervised Learning, Scikit Learn (Machine Learning Library), Machine Learning Algorithms, Python Programming, Applied Machine Learning, Statistical Machine Learning, Predictive Modeling, Machine Learning, Dimensionality Reduction, Classification And Regression Tree (CART), Matplotlib, Regression Analysis, Random Forest Algorithm, Statistical Modeling, Data Manipulation
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 Pennsylvania
Skills you'll gain: Mathematical Modeling, Statistical Modeling, Regression Analysis, Business Modeling, Financial Modeling, Business Mathematics, Predictive Modeling, Probability, Operations Research, Business Process Modeling, Business Risk Management, Statistical Analysis, Probability Distribution, Simulation and Simulation Software
University of Amsterdam
Skills you'll gain: Descriptive Statistics, Statistical Hypothesis Testing, Statistical Software, Probability Distribution, Sampling (Statistics), Correlation Analysis, Probability, Sample Size Determination, Statistics, Regression Analysis, Statistical Inference
Multiple educators
Skills you'll gain: Unsupervised Learning, Supervised Learning, Classification And Regression Tree (CART), Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Algorithms, Applied Machine Learning, Machine Learning, Jupyter, Data Ethics, Decision Tree Learning, Tensorflow, Scikit Learn (Machine Learning Library), NumPy, Predictive Modeling, Deep Learning, Artificial Intelligence, Reinforcement Learning, Random Forest Algorithm, Feature Engineering, Python Programming
- Status: Free
The University of Melbourne
Skills you'll gain: Debugging, Mathematical Modeling, Operations Research, Combinatorics, Graph Theory, Algorithms, Data Structures
Johns Hopkins University
Skills you'll gain: R Programming, Statistical Analysis, Combinatorics, Data Analysis, Probability, Statistics, Probability Distribution, Applied Machine Learning, Probability & Statistics, Applied Mathematics, Data Science, Computational Thinking, Artificial Intelligence and Machine Learning (AI/ML), Simulations
University of Alberta
Skills you'll gain: Reinforcement Learning, Sampling (Statistics), Machine Learning Algorithms, Simulations, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Statistical Methods, Probability Distribution
University of California, Irvine
Skills you'll gain: Embedded Software, Embedded Systems, Debugging, C (Programming Language), Integrated Development Environments, Program Development, Development Environment, Computer Hardware, Computer Programming, Digital Communications, Open Source Technology
In summary, here are 10 of our most popular discrete random variables courses
- Divide and Conquer, Sorting and Searching, and Randomized Algorithms:Â Stanford University
- Modeling Risk and Realities:Â University of Pennsylvania
- Mathematical Biostatistics Boot Camp 1:Â Johns Hopkins University
- Machine Learning with Python:Â IBM
- Introduction to Probability and Data with R:Â Duke University
- Fundamentals of Quantitative Modeling:Â University of Pennsylvania
- Basic Statistics:Â University of Amsterdam
- Machine Learning:Â DeepLearning.AI
- Advanced Modeling for Discrete Optimization:Â The University of Melbourne
- Foundations of Probability and Random Variables:Â Johns Hopkins University