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  • Variational Bayesian Methods

Results for "variational bayesian methods"


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    Duke University

    Startup Valuation Methods

    Skills you'll gain: Financial Modeling, Entrepreneurial Finance, Business Valuation, Excel Formulas, Finance, Investments, Private Equity, Securities (Finance), Entrepreneurship, Cash Flows, Risk Analysis

    4.4
    Rating, 4.4 out of 5 stars
    ·
    753 reviews

    Intermediate · 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, Data-Driven Decision-Making, Regression Analysis, Probability Distribution

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    C

    Columbia University

    Optimization Methods in Asset Management

    Skills you'll gain: Portfolio Management, Investment Management, Portfolio Risk, Asset Management, Market Liquidity, Risk Management, Financial Market, Equities, Risk Analysis, Transaction Processing, Securities Trading, Financial Analysis, Statistical Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    47 reviews

    Intermediate · Course · 1 - 3 Months

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    U

    University of Pittsburgh

    Probability Theory and Regression for Predictive Analytics

    Skills you'll gain: Probability Distribution, Data Science, Probability & Statistics, Predictive Analytics, Probability, Statistical Modeling, Data Analysis, Regression Analysis, Logistic Regression, Statistical Analysis, Statistical Methods, Statistical Machine Learning, Bayesian Statistics, Statistical Inference, Feature Engineering, Applied Mathematics, Python Programming, Machine Learning, Algorithms

    Build toward a degree

    Beginner · Course · 1 - 4 Weeks

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    U

    University of Colorado Boulder

    Discrete-Time Markov Chains and Monte Carlo Methods

    Skills you'll gain: Artificial Intelligence, Generative AI, Machine Learning Algorithms, Mathematical Theory & Analysis

    Build toward a degree

    4.9
    Rating, 4.9 out of 5 stars
    ·
    9 reviews

    Intermediate · Course · 1 - 3 Months

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    M

    Meta

    Data Analytics Methods for Marketing

    Skills you'll gain: Marketing Analytics, Marketing Effectiveness, A/B Testing, Target Audience, Marketing Strategies, Marketing, Marketing Channel, Marketing Budgets, Customer Insights, Sales Process, Regression Analysis, Forecasting, Data Analysis, Return On Investment

    4.7
    Rating, 4.7 out of 5 stars
    ·
    291 reviews

    Beginner · Course · 1 - 4 Weeks

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    S

    Stanford University

    Probabilistic Graphical Models 2: Inference

    Skills you'll gain: Bayesian Network, Machine Learning Methods, Statistical Inference, Markov Model, Graph Theory, Sampling (Statistics), Applied Machine Learning, Statistical Methods, Probability & Statistics, Algorithms, Probability Distribution, Machine Learning Algorithms, Computational Thinking

    4.6
    Rating, 4.6 out of 5 stars
    ·
    489 reviews

    Advanced · Course · 1 - 3 Months

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    J

    Johns Hopkins University

    Statistical Inference

    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

    4.2
    Rating, 4.2 out of 5 stars
    ·
    4.5K reviews

    Mixed · Course · 1 - 4 Weeks

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    I

    Imperial College London

    Probabilistic Deep Learning with TensorFlow 2

    Skills you'll gain: Tensorflow, Autoencoders, Generative Model Architectures, Deep Learning, Applied Machine Learning, Image Analysis, Bayesian Statistics, Probability Distribution, Unsupervised Learning, Sampling (Statistics)

    4.7
    Rating, 4.7 out of 5 stars
    ·
    109 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Preview
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    N

    Northeastern University

    Statistical Learning for Engineering Part 1

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Regression Analysis, Applied Machine Learning, Statistical Modeling, Machine Learning Algorithms, PyTorch (Machine Learning Library), Statistical Methods, Statistical Machine Learning, Machine Learning, Predictive Analytics, Predictive Modeling, Machine Learning Software, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Classification Algorithms, Logistic Regression, Unstructured Data, Model Evaluation, Dimensionality Reduction

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    E

    EDUCBA

    Bayesian Statistics: Excel to Python A/B Testing

    Skills you'll gain: Bayesian Statistics, A/B Testing, Microsoft Excel, Statistical Machine Learning, Statistical Modeling, Predictive Analytics, Business Analytics, Data Analysis, Probability & Statistics, Decision Making, Health Informatics, Statistical Programming, Markov Model

    4.5
    Rating, 4.5 out of 5 stars
    ·
    27 reviews

    Mixed · Course · 1 - 4 Weeks

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    C

    Coursera

    GenAI for Financial Data Analysis

    Skills you'll gain: Generative AI, Responsible AI, Financial Data, Complex Problem Solving, Microsoft Copilot, ChatGPT, Data-Driven Decision-Making, Data Analysis, Financial Analysis, Business Ethics, Data Visualization Software

    4.1
    Rating, 4.1 out of 5 stars
    ·
    15 reviews

    Beginner · Course · 1 - 4 Weeks

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In summary, here are 10 of our most popular variational bayesian methods courses

  • Startup Valuation Methods: Duke University
  • Introduction to Bayesian Statistics for Data Science: University of Colorado Boulder
  • Optimization Methods in Asset Management: Columbia University
  • Probability Theory and Regression for Predictive Analytics: University of Pittsburgh
  • Discrete-Time Markov Chains and Monte Carlo Methods: University of Colorado Boulder
  • Data Analytics Methods for Marketing: Meta
  • Probabilistic Graphical Models 2: Inference: Stanford University
  • Statistical Inference: Johns Hopkins University
  • Probabilistic Deep Learning with TensorFlow 2: Imperial College London
  • Statistical Learning for Engineering Part 1: Northeastern University

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