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  • 计算机图形学

Results for "计算机图形学"


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    U

    University of Geneva

    Le Bien, le Juste, l'Utile. Introduction aux éthiques philosophiques

    Skills you'll gain: Ethical Standards And Conduct, Liberal Arts, Case Studies, Social Justice, Environmental Issue, Research, Economics, Policy, and Social Studies, Policy Analysis, Political Sciences, Human Development, Personal Development

    4.8
    Rating, 4.8 out of 5 stars
    ·
    627 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    AI for Mechanical Engineers

    Skills you'll gain: Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Precision Medicine, Machine Learning Software, Generative AI, Machine Learning, Artificial Intelligence, Machine Learning Algorithms, AI Product Strategy, Energy and Utilities, Image Analysis, Technical Design, Deep Learning, Computer Vision, Medical Imaging, Statistical Machine Learning, Reinforcement Learning, Electric Power Systems, Bioinformatics, Data-Driven Decision-Making

    4.3
    Rating, 4.3 out of 5 stars
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    121 reviews

    Intermediate · Specialization · 1 - 3 Months

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    D

    DeepLearning.AI

    AI and Public Health

    Skills you'll gain: Data Analysis, Jupyter, Exploratory Data Analysis, Artificial Intelligence, Machine Learning, Predictive Modeling, Applied Machine Learning, Responsible AI, Supervised Learning, Information Privacy, Deep Learning, Environmental Monitoring, Public Health

    4.8
    Rating, 4.8 out of 5 stars
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    247 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Human Factors in AI

    Skills you'll gain: Responsible AI, Data Ethics, Human Computer Interaction, User Experience Design, Human Centered Design, Human Factors, Personally Identifiable Information, Information Privacy, Artificial Intelligence, Design Thinking, Machine Learning, Human Learning, Law, Regulation, and Compliance, Automation

    4.7
    Rating, 4.7 out of 5 stars
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    183 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    U

    University of Minnesota

    Recommender Systems

    Skills you'll gain: AI Personalization, Machine Learning Algorithms, Taxonomy, Applied Machine Learning, Machine Learning, Dimensionality Reduction, Performance Metric, Spreadsheet Software, Performance Measurement, Benchmarking, Usability Testing, Exploratory Data Analysis, A/B Testing, Analysis, User Feedback, Algorithms, System Design and Implementation, Solution Design, Data-Driven Decision-Making, Predictive Modeling

    4.3
    Rating, 4.3 out of 5 stars
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    830 reviews

    Intermediate · Specialization · 3 - 6 Months

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    A

    Alberta Machine Intelligence Institute

    Introduction to Applied Machine Learning

    Skills you'll gain: Data Ethics, Applied Machine Learning, Data Processing, Machine Learning, Machine Learning Algorithms, Product Lifecycle Management, Supervised Learning, Business Requirements, Data Quality, Business Analysis, Unsupervised Learning, Artificial Intelligence, Performance Metric

    4.7
    Rating, 4.7 out of 5 stars
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    746 reviews

    Intermediate · Course · 1 - 4 Weeks

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    T

    The University of Tokyo

    Let’s Read! Learning Japanese through Science & Technology-1

    Skills you'll gain: Language Competency, Oral Comprehension, Vocabulary, Grammar, Language Learning, Literacy, General Science and Research, Science and Research, Engineering

    4.7
    Rating, 4.7 out of 5 stars
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    106 reviews

    Intermediate · Course · 1 - 3 Months

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    U

    University of Minnesota

    Introduction to Recommender Systems: Non-Personalized and Content-Based

    Skills you'll gain: Taxonomy, AI Personalization, Spreadsheet Software, Machine Learning, Predictive Analytics, Microsoft Excel, Statistical Methods, Persona Development, Text Mining, Descriptive Statistics, Data Collection, Algorithms, Computer Programming, Java

    4.4
    Rating, 4.4 out of 5 stars
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    657 reviews

    Intermediate · Course · 1 - 3 Months

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    I

    IBM

    Machine Learning Introduction for Everyone

    Skills you'll gain: Predictive Modeling, Machine Learning, Supervised Learning, Data Science, Artificial Intelligence, Deep Learning, Classification And Regression Tree (CART), Unsupervised Learning, Reinforcement Learning, Performance Metric

    4.6
    Rating, 4.6 out of 5 stars
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    296 reviews

    Beginner · Course · 1 - 4 Weeks

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    N

    New York University

    Guided Tour of Machine Learning in Finance

    Skills you'll gain: Supervised Learning, Applied Machine Learning, Machine Learning, Statistical Methods, Artificial Neural Networks, Predictive Modeling, Scikit Learn (Machine Learning Library), Regression Analysis, Deep Learning, Financial Services, Finance, Tensorflow, Jupyter, Reinforcement Learning

    3.8
    Rating, 3.8 out of 5 stars
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    680 reviews

    Intermediate · Course · 1 - 4 Weeks

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    P

    Peking University

    中日文化交流史

    4.7
    Rating, 4.7 out of 5 stars
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    41 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Build Better Generative Adversarial Networks (GANs)

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

    4.7
    Rating, 4.7 out of 5 stars
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    684 reviews

    Intermediate · Course · 1 - 4 Weeks

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In summary, here are 10 of our most popular 计算机图形学 courses

  • Le Bien, le Juste, l'Utile. Introduction aux éthiques philosophiques: University of Geneva
  • AI for Mechanical Engineers: University of Michigan
  • AI and Public Health: DeepLearning.AI
  • Human Factors in AI: Duke University
  • Recommender Systems: University of Minnesota
  • Introduction to Applied Machine Learning: Alberta Machine Intelligence Institute
  • Let’s Read! Learning Japanese through Science & Technology-1: The University of Tokyo
  • Introduction to Recommender Systems: Non-Personalized and Content-Based: University of Minnesota
  • Machine Learning Introduction for Everyone: IBM
  • Guided Tour of Machine Learning in Finance: New York University

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