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  • Understanding Purpose Of Sequential Probabilistic Inference Steps

Results for "understanding purpose of sequential-probabilistic-inference steps"


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    Whizlabs

    NVIDIA: Prompt Engineering and Data Analysis

    Skills you'll gain: Prompt Engineering, Data Visualization, Large Language Modeling, Text Mining, Scatter Plots, Data Visualization Software, Unstructured Data, Histogram, Data Analysis, Natural Language Processing

    Intermediate · Course · 1 - 4 Weeks

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    University of Colorado Boulder

    Statistical Estimation for Data Science and AI

    Skills you'll gain: Statistical Inference, Statistical Methods, Statistics, Probability & Statistics, Data Literacy, Statistical Analysis, Sampling (Statistics), Applied Mathematics, Theoretical Computer Science, Probability Distribution, Artificial Intelligence

    Build toward a degree

    4.1
    Rating, 4.1 out of 5 stars
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    88 reviews

    Intermediate · Course · 1 - 3 Months

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    University of Michigan

    Fitting Statistical Models to Data with Python

    Skills you'll gain: Statistical Modeling, Statistical Methods, Bayesian Statistics, Statistical Inference, Statistical Software, Statistical Programming, Regression Analysis, Predictive Modeling, Jupyter, Exploratory Data Analysis, Correlation Analysis, Probability Distribution, Python Programming, Data Visualization Software

    4.4
    Rating, 4.4 out of 5 stars
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    713 reviews

    Intermediate · Course · 1 - 4 Weeks

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    Coursera

    Essential Causal Inference Techniques for Data Science

    Skills you'll gain: Regression Analysis, Data Science, Machine Learning Methods, R Programming, Statistical Inference, Applied Machine Learning, Machine Learning, Statistical Methods, Advanced Analytics, Data Analysis, Predictive Modeling

    4.5
    Rating, 4.5 out of 5 stars
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    39 reviews

    Beginner · Guided Project · Less Than 2 Hours

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    Columbia University

    Causal Inference 2

    Skills you'll gain: Statistical Inference, Econometrics, Advanced Analytics, Statistical Analysis, Regression Analysis, Time Series Analysis and Forecasting, Statistical Methods, Statistical Modeling, Research Design

    3.3
    Rating, 3.3 out of 5 stars
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    15 reviews

    Advanced · Course · 1 - 3 Months

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    Johns Hopkins University

    Advanced Probability and Statistical Methods

    Skills you'll gain: Regression Analysis, Statistical Hypothesis Testing, Statistical Analysis, Probability & Statistics, Statistical Methods, Probability Distribution, Data Analysis, Markov Model, Data Science, Statistics, Statistical Inference, Probability, R Programming

    Intermediate · Course · 1 - 3 Months

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    Johns Hopkins University

    Hypothesis Testing in Public Health

    Skills you'll gain: Statistical Hypothesis Testing, Biostatistics, Sampling (Statistics), Statistical Inference, Scientific Methods, Quantitative Research, Public Health

    4.8
    Rating, 4.8 out of 5 stars
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    648 reviews

    Beginner · Course · 1 - 3 Months

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    University of California, Santa Cruz

    Bayesian Statistics: Time Series Analysis

    Skills you'll gain: Time Series Analysis and Forecasting, Forecasting, R Programming, Bayesian Statistics, Advanced Analytics, Statistical Modeling, R (Software), Statistical Analysis, Statistical Inference, Data Analysis, Mathematical Modeling, Probability Distribution

    4.2
    Rating, 4.2 out of 5 stars
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    17 reviews

    Intermediate · Course · 1 - 3 Months

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    University of Pennsylvania

    Statistics for Data Science Essentials

    Skills you'll gain: Probability, Probability & Statistics, Sampling (Statistics), Probability Distribution, Statistics, Data Science, Statistical Inference, Descriptive Statistics, Statistical Analysis, General Mathematics

    4.4
    Rating, 4.4 out of 5 stars
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    10 reviews

    Intermediate · Course · 1 - 4 Weeks

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    Google Cloud

    Deploy and Scale AI Models with Cloud Run

    Skills you'll gain: Google Cloud Platform, Serverless Computing, Generative AI, Application Deployment, Cloud Services, Cloud Computing, Artificial Intelligence and Machine Learning (AI/ML), Containerization, Performance Tuning, Scalability

    Beginner · Course · 1 - 4 Weeks

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    Johns Hopkins University

    Data – What It Is, What We Can Do With It

    Skills you'll gain: Data Literacy, Data Visualization, Data Analysis, Research Design, Descriptive Statistics, Analytics, Analysis, Statistics, Quantitative Research, Statistical Methods, Probability & Statistics

    4.6
    Rating, 4.6 out of 5 stars
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    182 reviews

    Beginner · Course · 1 - 4 Weeks

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    University of Minnesota

    Optimization for Decision Making

    Skills you'll gain: Operations Research, Mathematical Modeling, Business Modeling, Business Analytics, Analytics, Business Mathematics, Process Optimization, Data-Driven Decision-Making, Microsoft Excel, Solution Design, Decision Making, Linear Algebra, Resource Allocation, Graphing

    4.7
    Rating, 4.7 out of 5 stars
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    88 reviews

    Beginner · Course · 1 - 4 Weeks

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In summary, here are 10 of our most popular understanding purpose of sequential-probabilistic-inference steps courses

  • NVIDIA: Prompt Engineering and Data Analysis: Whizlabs
  • Statistical Estimation for Data Science and AI: University of Colorado Boulder
  • Fitting Statistical Models to Data with Python: University of Michigan
  • Essential Causal Inference Techniques for Data Science: Coursera
  • Causal Inference 2: Columbia University
  • Advanced Probability and Statistical Methods: Johns Hopkins University
  • Hypothesis Testing in Public Health : Johns Hopkins University
  • Bayesian Statistics: Time Series Analysis: University of California, Santa Cruz
  • Statistics for Data Science Essentials: University of Pennsylvania
  • Deploy and Scale AI Models with Cloud Run: Google Cloud

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