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30 results for "a basic understanding of matrices and probability"
Stanford University
Skills you'll gain: Bayesian Network, Probability & Statistics, General Statistics, Graph Theory, Probability Distribution, Bayesian Statistics, Markov Model, Correlation And Dependence, Machine Learning, Network Model, Decision Making, Human Learning, Algorithms
Duke University
Skills you'll gain: General Statistics, Probability & Statistics, Statistical Analysis, Data Analysis, Statistical Tests, Probability Distribution, R Programming, Statistical Programming, Basic Descriptive Statistics, Statistical Visualization, Bayesian Statistics, Exploratory Data Analysis, Data Visualization, Plot (Graphics), Problem Solving, Critical Thinking, Correlation And Dependence, Regression, Bayesian Network, Computer Programming
Duke University
Skills you'll gain: Machine Learning, Machine Learning Algorithms, Probability & Statistics, Regression, Applied Machine Learning, Data Analysis, Data Mining, Deep Learning, Algorithms, Data Science
Johns Hopkins University
Skills you'll gain: General Statistics, Probability & Statistics, Mathematics, Statistical Tests, Linear Algebra, Algebra, Regression, Statistical Analysis, Biostatistics, Probability Distribution, Bayesian Statistics, Correlation And Dependence, Estimation, Basic Descriptive Statistics, Mathematical Theory & Analysis
Skills you'll gain: Data Analysis, Exploratory Data Analysis, Machine Learning, Statistical Machine Learning, Feature Engineering, General Statistics, Probability & Statistics, Statistical Analysis, Correlation And Dependence, Statistical Programming
Stanford University
Skills you'll gain: Bayesian Network, Probability & Statistics, Probability Distribution, General Statistics, Graph Theory, Bayesian Statistics, Correlation And Dependence, Markov Model, Network Model, Decision Making
Skills you'll gain: Artificial Neural Networks, Deep Learning, Human Learning, Machine Learning, Machine Learning Algorithms, Applied Machine Learning, Reinforcement Learning, Algorithms, Network Model, Tensorflow
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The State University of New York
Skills you'll gain: Probability & Statistics, General Statistics, Correlation And Dependence, R Programming, Statistical Analysis, Data Analysis, Forecasting, Statistical Visualization, Statistical Programming, Plot (Graphics)
Skills you'll gain: Exploratory Data Analysis, General Statistics, Probability & Statistics, Statistical Analysis, Data Analysis, Data Visualization, Regression
Skills you'll gain: Data Analysis, Exploratory Data Analysis, Machine Learning, Data Science, Docker (Software), Python Programming
The University of Sydney
Skills you'll gain: Data Analysis, Data Management, Databases, Clinical Data Management, Data Visualization, Probability & Statistics, General Statistics, Human Computer Interaction, Interactive Data Visualization, Statistical Visualization
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
In summary, here are 10 of our most popular a basic understanding of matrices and probability courses
- Probabilistic Graphical Models:Â Stanford University
- Data Analysis with R:Â Duke University
- Machine Learning Foundations for Product Managers:Â Duke University
- Advanced Statistics for Data Science:Â Johns Hopkins University
- Exploratory Data Analysis for Machine Learning:Â IBM
- Probabilistic Graphical Models 1: Representation:Â Stanford University
- Deep Learning and Reinforcement Learning:Â IBM
- Practical Time Series Analysis:Â The State University of New York
- Statistical Thinking for Industrial Problem Solving, presented by JMP:Â SAS
- AI Workflow: AI in Production:Â IBM