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    Results for "variational bayesian methods"

    • Status: Free Trial
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      Imperial College London

      Mathematics for Machine Learning: Multivariate Calculus

      Skills you'll gain: Regression Analysis, Calculus, Advanced Mathematics, Machine Learning Algorithms, Statistical Analysis, Linear Algebra, Artificial Neural Networks, Python Programming, Derivatives

      4.7
      Rating, 4.7 out of 5 stars
      ·
      5.7K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
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      D

      DeepLearning.AI

      Generative Adversarial Networks (GANs)

      Skills you'll gain: Generative AI, PyTorch (Machine Learning Library), Image Analysis, Deep Learning, Artificial Neural Networks, Data Ethics, Applied Machine Learning, Computer Vision, Machine Learning, Unsupervised Learning, Information Privacy, Data Synthesis, Performance Testing, Supervised Learning, Machine Learning Algorithms

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.4K reviews

      Intermediate · Specialization · 1 - 3 Months

    • Status: Preview
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      C

      Coursera Project Network

      Landing.AI for Beginners: Build Data Visualization AI Models

      Skills you'll gain: Generative AI, Image Analysis, Application Deployment, Computer Vision, Visualization (Computer Graphics), Applied Machine Learning, Cloud Computing, Deep Learning, Supervised Learning

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Data Science Methodology

      Skills you'll gain: Jupyter, Peer Review, Data Modeling, Data Science, Business Analysis, Data Manipulation, Data Mining, Predictive Modeling, Data Quality, Data Storytelling, Data Analysis, User Feedback, Decision Tree Learning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      21K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Build Better Generative Adversarial Networks (GANs)

      Skills you'll gain: Generative AI, PyTorch (Machine Learning Library), Data Ethics, Deep Learning, Machine Learning, Image Analysis, Artificial Neural Networks, Performance Testing, Machine Learning Algorithms

      4.7
      Rating, 4.7 out of 5 stars
      ·
      682 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Advanced Neural Network Techniques

      Skills you'll gain: Deep Learning, Artificial Neural Networks, Reinforcement Learning, Generative AI, Unsupervised Learning, Data Ethics, Artificial Intelligence, Machine Learning, Markov Model, Natural Language Processing

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Scenario and Root Cause Analysis with Generative AI

      Skills you'll gain: Risk Analysis, Risk Management, Generative AI, Root Cause Analysis, Data-Driven Decision-Making, Business Risk Management, Analysis, Strategic Decision-Making, Scenario Testing, Strategic Thinking, Data Analysis, Data Ethics, Strategic Planning, Artificial Intelligence

      4.8
      Rating, 4.8 out of 5 stars
      ·
      12 reviews

      Intermediate · Course · 1 - 4 Weeks

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    In summary, here are 7 of our most popular variational bayesian methods courses

    • Mathematics for Machine Learning: Multivariate Calculus: Imperial College London
    • Generative Adversarial Networks (GANs): DeepLearning.AI
    • Landing.AI for Beginners: Build Data Visualization AI Models: Coursera Project Network
    • Data Science Methodology: IBM
    • Build Better Generative Adversarial Networks (GANs): DeepLearning.AI
    • Advanced Neural Network Techniques: Johns Hopkins University
    • Scenario and Root Cause Analysis with Generative AI: Microsoft

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