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  • Probabilistic Graphical Models 3 Learning

Results for "probabilistic graphical models 3: learning"


  • Status: Preview
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    N

    New Teacher Center

    Blended Learning: Personalizing Education for Students

    Skills you'll gain: Education Software and Technology, Instructional Design, Technology Strategies, Student Support and Services, Learning Strategies, Collaboration, Innovation, Data Integration, Adaptability, Computer Hardware

    4.7
    Rating, 4.7 out of 5 stars
    ·
    261 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free
    Free
    C

    Coursera

    3D Models with Adobe Photoshop: Design a Pickleball Paddle

    Skills you'll gain: Graphic and Visual Design, Graphic Design, Graphic and Visual Design Software, Adobe Photoshop, Creative Design, Typography, 3D Modeling, Color Theory, Visualization (Computer Graphics), Color Matching, Computer Graphic Techniques

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Preview
    Preview
    U

    University of Colorado Boulder

    Deep Learning Applications for Computer Vision

    Skills you'll gain: Tensorflow, Computer Vision, Image Analysis, Artificial Neural Networks, Applied Machine Learning, Deep Learning, Machine Learning Methods, Machine Learning, Computer Graphics, Artificial Intelligence, Feature Engineering, Algorithms

    Build toward a degree

    4.7
    Rating, 4.7 out of 5 stars
    ·
    88 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    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: Preview
    Preview
    I

    Intel

    An Introduction to Practical Deep Learning

    Skills you'll gain: Deep Learning, Artificial Neural Networks, Computer Vision, Machine Learning Methods, Generative AI, Natural Language Processing, Scalability, Reinforcement Learning, Network Architecture, Performance Tuning

    4.3
    Rating, 4.3 out of 5 stars
    ·
    150 reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Titanic Survival Prediction Using Machine Learning

    Skills you'll gain: Feature Engineering, Data Cleansing, Predictive Modeling, Classification And Regression Tree (CART), Applied Machine Learning, Data Processing, Data Manipulation, Scikit Learn (Machine Learning Library), Supervised Learning, Machine Learning, Predictive Analytics, Machine Learning Algorithms, Data Science, Python Programming

    4.8
    Rating, 4.8 out of 5 stars
    ·
    19 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    A

    Arizona State University

    Introduction to Machine Learning with Python

    Skills you'll gain: Supervised Learning, Unsupervised Learning, Generative AI, Deep Learning, Image Analysis, Machine Learning Algorithms, Applied Machine Learning, Python Programming, Machine Learning, Artificial Neural Networks, Computer Vision, Computer Programming, Regression Analysis

    3.7
    Rating, 3.7 out of 5 stars
    ·
    23 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    S

    Simplilearn

    AI & Deep Learning Concepts and Applications

    Skills you'll gain: Reinforcement Learning, Artificial Intelligence, Tensorflow, Artificial Neural Networks, Deep Learning, Machine Learning, Applied Machine Learning, Data Ethics, Supervised Learning, Responsible AI, Unsupervised Learning, Natural Language Processing, Computer Programming

    4.2
    Rating, 4.2 out of 5 stars
    ·
    9 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    B

    Birla Institute of Technology & Science, Pilani

    Linear Algebra for Machine Learning & AI

    Skills you'll gain: Linear Algebra, Artificial Intelligence and Machine Learning (AI/ML), Applied Mathematics, Numerical Analysis, Machine Learning, Artificial Neural Networks, Dimensionality Reduction, Data Analysis

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Advanced Methods in Machine Learning Applications

    Skills you'll gain: Unsupervised Learning, Applied Machine Learning, Dimensionality Reduction, Reinforcement Learning, Regression Analysis, Machine Learning, Data Mining, Machine Learning Algorithms, Statistical Machine Learning, Advanced Analytics, Predictive Modeling, Random Forest Algorithm, Decision Tree Learning, Supervised Learning

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Learning Experience Design: Theories and Frameworks

    Skills you'll gain: Course Development, Instructional Design, Learning Theory, Brainstorming, Design Thinking, Needs Assessment, Motivational Skills, Prototyping, Student-Centred Learning, Creativity, Analysis, Communication

    4.9
    Rating, 4.9 out of 5 stars
    ·
    34 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Exploring Generative AI for Learning Design

    Skills you'll gain: Generative AI, Education Software and Technology, Prompt Engineering, Instructional Design, Artificial Intelligence, Design Strategies, Content Creation, Creative Design, Emerging Technologies, Professional Development

    4.6
    Rating, 4.6 out of 5 stars
    ·
    41 reviews

    Beginner · Course · 1 - 4 Weeks

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In summary, here are 10 of our most popular probabilistic graphical models 3: learning courses

  • Blended Learning: Personalizing Education for Students: New Teacher Center
  • 3D Models with Adobe Photoshop: Design a Pickleball Paddle: Coursera
  • Deep Learning Applications for Computer Vision: University of Colorado Boulder
  • Practical Machine Learning: Foundations to Neural Networks: Dartmouth College
  • An Introduction to Practical Deep Learning: Intel
  • Titanic Survival Prediction Using Machine Learning: Coursera
  • Introduction to Machine Learning with Python: Arizona State University
  • AI & Deep Learning Concepts and Applications: Simplilearn
  • Linear Algebra for Machine Learning & AI: Birla Institute of Technology & Science, Pilani
  • Advanced Methods in Machine Learning Applications: Johns Hopkins University

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