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Results for "understanding purpose of sequential-probabilistic-inference steps"
- Status: Free Trial
University of California, Santa Cruz
Skills you'll gain: Time Series Analysis and Forecasting, Forecasting, R Programming, Bayesian Statistics, Statistical Modeling, Statistical Analysis, Statistical Inference, Regression Analysis, Data Analysis, Mathematical Modeling, Probability Distribution
- Status: Free Trial
University of Michigan
Skills you'll gain: Statistical Modeling, Statistical Methods, Bayesian Statistics, Statistical Inference, Statistical Analysis, Statistical Programming, Regression Analysis, Predictive Modeling, Jupyter, Exploratory Data Analysis, Statistical Hypothesis Testing, Correlation Analysis, Probability Distribution, Python Programming
- Status: Free Trial
University of Minnesota
Skills you'll gain: Experimentation, Research Design, A/B Testing, Business Analysis, Analytical Skills, Complex Problem Solving, Statistical Inference, Business Priorities, Data Ethics, Prioritization, Project Planning
- Status: Free Trial
University of Pennsylvania
Skills you'll gain: Financial Statements, Financial Modeling, Strategic Decision-Making, Decision Making, Data-Driven Decision-Making, Business Analytics, Financial Forecasting, Capital Budgeting, Financial Analysis, Return On Investment, Income Statement, Balance Sheet, Risk Analysis, Cash Flows, Spreadsheet Software
- Status: New
Skills you'll gain: Natural Language Processing, Markov Model, Text Mining, Python Programming, Dimensionality Reduction, Bayesian Statistics, Statistical Modeling, Scikit Learn (Machine Learning Library), Unstructured Data, Probability & Statistics, Machine Learning, Linear Algebra
- Status: Free Trial
Johns Hopkins University
Skills you'll gain: Data Literacy, Data Visualization, Data Analysis, Research Design, Descriptive Statistics, Analytics, Analysis, Statistics, Quantitative Research, Statistical Methods, Probability & Statistics
- Status: Preview
Eindhoven University of Technology
Skills you'll gain: Research Design, Research, Quantitative Research, Experimentation, Sample Size Determination, Statistical Inference, Statistical Methods, Statistical Analysis, Data Integrity, Data Ethics, Probability & Statistics, R Programming
- Status: Free Trial
University of Pennsylvania
Skills you'll gain: Risk Modeling, Probability Distribution, Mathematical Modeling, Statistical Modeling, Risk Management, Data Visualization, Predictive Modeling, Data Modeling, Probability & Statistics, Risk Analysis, Simulation and Simulation Software, Forecasting, Data-Driven Decision-Making, Business Analysis, Process Optimization, Microsoft Excel
- Status: Free Trial
Johns Hopkins University
Skills you'll gain: Game Theory, Data-Driven Decision-Making, Cybersecurity, Data Science, Algorithms, Reinforcement Learning, Machine Learning, Artificial Intelligence
- Status: Free Trial
University of Alberta
Skills you'll gain: Reinforcement Learning, Deep Learning, Machine Learning Algorithms, Machine Learning, Supervised Learning, Artificial Neural Networks, Pseudocode, Linear Algebra, Probability Distribution
Coursera Project Network
Skills you'll gain: Regression Analysis, Data Science, Statistical Machine Learning, Data-Driven Decision-Making, R Programming, Statistical Inference, Applied Machine Learning, Classification And Regression Tree (CART), Machine Learning, Statistical Methods, Advanced Analytics, Data Analysis, Predictive Modeling
- Status: Free Trial
University of California San Diego
Skills you'll gain: Combinatorics, Probability, Algorithms, Mathematical Modeling, Computational Thinking, Statistics, Game Theory, Python Programming
In summary, here are 10 of our most popular understanding purpose of sequential-probabilistic-inference steps courses
- Bayesian Statistics: Time Series Analysis: University of California, Santa Cruz
- Fitting Statistical Models to Data with Python: University of Michigan
- Causal Inference Project Ideation: University of Minnesota
- Decision-Making and Scenarios: University of Pennsylvania
- Natural Language Processing - Probability Models in Python: Packt
- Data – What It Is, What We Can Do With It: Johns Hopkins University
- Improving Your Statistical Questions: Eindhoven University of Technology
- Modeling Risk and Realities: University of Pennsylvania
- Data Science Decisions in Time: Information Theory & Games: Johns Hopkins University
- Prediction and Control with Function Approximation: University of Alberta