Results for "understanding purpose of sequential-probabilistic-inference steps"
Status: Free TrialVanderbilt University
Skills you'll gain: Prompt Engineering, ChatGPT, Prompt Patterns, LLM Application, Productivity, OpenAI, Generative AI, Artificial Intelligence, Large Language Modeling, Artificial Intelligence and Machine Learning (AI/ML), Creative Thinking, Creative Problem-Solving, Problem Solving
Status: NewStatus: Free TrialJohns Hopkins University
Skills you'll gain: Trigonometry, Probability, Data Analysis, Algebra, Probability Distribution, Descriptive Statistics, Mathematical Modeling, Graphing, Statistics, Geometry, Arithmetic
Status: NewStatus: Free TrialUniversity of Colorado Boulder
Skills you'll gain: Probability, Probability & Statistics, Estimation, Probability Distribution, Markov Model, Bayesian Statistics, Statistical Methods, Statistical Inference, Sampling (Statistics), Statistical Analysis, Statistics, Artificial Intelligence, Generative AI, Data Analysis, Data Science, Descriptive Statistics, Machine Learning Algorithms, Mathematical Theory & Analysis
Status: Free TrialUniversity 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 Presentation, Statistics, Probability, Statistical Analysis, Statistical Software, Advanced Analytics, R (Software), Data Analysis, Mathematical Modeling, Microsoft Excel, Markov Model, Statistical Methods, Data Science
Status: Free TrialUniversity of Colorado Boulder
Skills you'll gain: Probability, Statistical Hypothesis Testing, Probability & Statistics, Probability Distribution, Bayesian Statistics, Statistical Methods, Statistical Inference, Sampling (Statistics), Statistical Analysis, Statistics, Data Ethics, Data Analysis, Quantitative Research, Data Science, Sample Size Determination, Descriptive Statistics, Artificial Intelligence
Status: Free TrialStanford University
Skills you'll gain: Bayesian Network, Applied Machine Learning, Graph Theory, Machine Learning Algorithms, Probability Distribution, Network Model, Statistical Modeling, Markov Model, Decision Support Systems, Machine Learning, Probability & Statistics, Network Analysis, Statistical Inference, Sampling (Statistics), Statistical Methods, Natural Language Processing, Algorithms, Computational Thinking
What brings you to Coursera today?
Status: Free TrialJohns Hopkins University
Skills you'll gain: Statistical Inference, Statistical Hypothesis Testing, Probability & Statistics, Probability, Statistics, Bayesian Statistics, Statistical Methods, Statistical Modeling, Statistical Analysis, Probability Distribution, Sampling (Statistics), Sample Size Determination, Data Analysis
Status: NewStatus: Free TrialDartmouth College
Skills you'll gain: Probability & Statistics, Statistical Methods
Status: NewStatus: Free TrialLearnKartS
Skills you'll gain: Project Closure, Project Controls, Procurement, Project Scoping, Communication Planning, Scope Management, Earned Value Management, Project Management, Project Schedules, Cost Management, Project Management Life Cycle, Project Planning, Stakeholder Communications, Stakeholder Management, Project Performance, Scheduling, Cost Estimation, Communication, Communication Strategies, Quality Management
Status: FreeAmazon Web Services
Skills you'll gain: Prompt Engineering, Prompt Patterns, Generative AI Agents, Responsible AI
Status: Free TrialSkills you'll gain: Bayesian Statistics, Databricks, Sampling (Statistics), Statistical Modeling, Probability, Classification And Regression Tree (CART), Jupyter, Regression Analysis, Statistical Programming, Predictive Modeling, Statistical Analysis, Probability Distribution, Data Science, Markov Model, Statistics, Simulations, Python Programming, Statistical Visualization, Mathematical Software, Statistical Inference
Status: Free TrialJohns Hopkins University
Skills you'll gain: Statistical Hypothesis Testing, Sampling (Statistics), Regression Analysis, Bayesian Statistics, Statistical Analysis, Probability & Statistics, Statistical Inference, Statistical Methods, Statistical Modeling, Linear Algebra, Probability, R Programming, Biostatistics, Data Science, Statistics, Probability Distribution, Mathematical Modeling, Data Analysis, Applied Mathematics, Predictive Modeling
In summary, here are 10 of our most popular understanding purpose of sequential-probabilistic-inference steps courses
- Prompt Engineering for ChatGPT: Vanderbilt University
- Honors Algebra 2: Series, Trigonometry, and Probability: Johns Hopkins University
- Foundations of Probability and Statistics: University of Colorado Boulder
- Bayesian Statistics: University of California, Santa Cruz
- Data Science Foundations: Statistical Inference: University of Colorado Boulder
- Probabilistic Graphical Models: Stanford University
- Statistical Inference: Johns Hopkins University
- Foundations for Machine Learning: Dartmouth College
- Predictive Project Methodologies: LearnKartS
- Essentials of Prompt Engineering: Amazon Web Services
