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  • Bayes Theorem

Results for "bayes' theorem"


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    U

    University of California, Santa Cruz

    Bayesian Statistics

    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

    4.6
    Rating, 4.6 out of 5 stars
    ·
    3.5K reviews

    Intermediate · Specialization · 3 - 6 Months

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    D

    Dartmouth College

    Practical Machine Learning: Foundations to Neural Networks

    Skills you'll gain: Supervised Learning, Bayesian Network, Artificial Neural Networks, Predictive Analytics, Machine Learning Methods, Statistical Modeling, Predictive Modeling, Statistical Machine Learning, Probability & Statistics, Bayesian Statistics, Deep Learning, Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Machine Learning Algorithms, Applied Machine Learning, Statistical Methods, Artificial Intelligence, Regression Analysis, Statistical Inference

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
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    U

    University of Colorado Boulder

    Foundations of Probability and Statistics

    Skills you'll gain: Probability, Statistical Inference, Markov Model, Estimation, Statistical Methods, Probability & Statistics, Statistics, Probability Distribution, Data Literacy, Statistical Analysis, Bayesian Statistics, Sampling (Statistics), Applied Mathematics, Mathematical Modeling, Statistical Modeling, Data Science, Theoretical Computer Science, Data Analysis, Machine Learning Algorithms, Artificial Intelligence

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    4.4
    Rating, 4.4 out of 5 stars
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    320 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
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    D

    Dartmouth College

    Foundations for Machine Learning

    Skills you'll gain: Probability & Statistics, Statistical Methods

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
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    J

    Johns Hopkins University

    Fundamentals of Scientific Research Under Uncertainty

    Skills you'll gain: Scientific Methods, Research, General Science and Research, Critical Thinking, Probability, Research Design, Bayesian Statistics, Probability & Statistics, Experimentation, Investigation, Decision Making

    4.9
    Rating, 4.9 out of 5 stars
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    40 reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
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    U

    University of Pittsburgh

    Mathematical Foundations for Data Science and Analytics

    Skills you'll gain: Statistical Analysis, NumPy, Probability Distribution, Matplotlib, Statistics, Pandas (Python Package), Data Science, Probability & Statistics, Probability, Statistical Modeling, Predictive Modeling, Data Analysis, Linear Algebra, Predictive Analytics, Statistical Methods, Mathematics and Mathematical Modeling, Applied Mathematics, Python Programming, Machine Learning, Logical Reasoning

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    Beginner · Specialization · 1 - 3 Months

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    J

    Johns Hopkins University

    Foundational Mathematics for AI

    Skills you'll gain: Descriptive Statistics, Linear Algebra, Exploratory Data Analysis, Data-Driven Decision-Making, Data Analysis, Bayesian Statistics, Statistics, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Probability, Regression Analysis, Calculus, Statistical Analysis, Advanced Mathematics, Applied Mathematics, Probability Distribution, Mathematical Modeling, Integral Calculus, Algebra, Machine Learning Algorithms

    4.9
    Rating, 4.9 out of 5 stars
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    10 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
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    J

    Johns Hopkins University

    Calculus through Data & Modelling: Series and Integration

    Skills you'll gain: Calculus, Integral Calculus, Advanced Mathematics, Mathematical Theory & Analysis, Applied Mathematics, Numerical Analysis, Mathematical Modeling

    4.9
    Rating, 4.9 out of 5 stars
    ·
    55 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
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    S

    Stanford University

    Introduction to Statistics

    Skills you'll gain: Descriptive Statistics, Statistics, Statistical Methods, Sampling (Statistics), Statistical Analysis, Data Analysis, Statistical Modeling, Statistical Hypothesis Testing, Regression Analysis, Statistical Inference, Probability, Exploratory Data Analysis, Quantitative Research, Probability Distribution

    4.6
    Rating, 4.6 out of 5 stars
    ·
    4.2K reviews

    Beginner · Course · 1 - 3 Months

  • U

    University of Colorado Boulder

    Introduction to Bayesian Statistics for Data Science

    Skills you'll gain: Bayesian Statistics, Statistical Inference, Statistical Modeling, Predictive Analytics, Statistical Methods, Data Ethics, Data Science, Probability, Regression Analysis, Analytical Skills, Probability Distribution

    Intermediate · Course · 1 - 3 Months

  • D

    Duke University

    Bayesian Statistics

    Skills you'll gain: Bayesian Statistics, Statistical Hypothesis Testing, Statistical Modeling, Statistical Methods, Statistical Inference, Regression Analysis, Data Analysis, R Programming, Probability, Predictive Modeling, Probability Distribution

    3.8
    Rating, 3.8 out of 5 stars
    ·
    798 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
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    U

    University of Zurich

    An Intuitive Introduction to Probability

    Skills you'll gain: Probability, Probability Distribution, Probability & Statistics, Statistics, Descriptive Statistics, Applied Mathematics, Risk Analysis, Finance

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1.9K reviews

    Beginner · Course · 1 - 3 Months

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In summary, here are 10 of our most popular bayes' theorem courses

  • Bayesian Statistics: University of California, Santa Cruz
  • Practical Machine Learning: Foundations to Neural Networks: Dartmouth College
  • Foundations of Probability and Statistics: University of Colorado Boulder
  • Foundations for Machine Learning: Dartmouth College
  • Fundamentals of Scientific Research Under Uncertainty: Johns Hopkins University
  • Mathematical Foundations for Data Science and Analytics: University of Pittsburgh
  • Foundational Mathematics for AI: Johns Hopkins University
  • Calculus through Data & Modelling: Series and Integration: Johns Hopkins University
  • Introduction to Statistics: Stanford University
  • Introduction to Bayesian Statistics for Data Science: University of Colorado Boulder

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