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    • Revenue Recognition
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    Results for "revenue recognition"

    • J

      Johns Hopkins University

      Artificial Intelligence for Breast Cancer Detection

      Skills you'll gain: Mammography, Artificial Intelligence, Medical Imaging, Image Analysis, Oncology, Computer Vision, Radiology, Bayesian Network, Artificial Neural Networks, Machine Learning Methods, Radiography, Epidemiology, Deep Learning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      70 reviews

      Intermediate · Course · 1 - 4 Weeks

    • D

      Duke University

      Rust for Large Language Model Operations (LLMOps)

      Skills you'll gain: Large Language Modeling, Generative AI, Rust (Programming Language), MLOps (Machine Learning Operations), PyTorch (Machine Learning Library), CI/CD, Applied Machine Learning, Application Deployment, System Monitoring, Cloud Development, Natural Language Processing, DevOps, Amazon Web Services, Deep Learning, Cloud Security

      4.1
      Rating, 4.1 out of 5 stars
      ·
      11 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Colorado Boulder

      Computational Vision

      Skills you'll gain: Computer Vision, Image Analysis, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Computer Graphics, Computational Thinking, Deep Learning, Psychology

      4.4
      Rating, 4.4 out of 5 stars
      ·
      64 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Colorado System

      Regression Modeling for Marketers

      Skills you'll gain: Statistical Software, Marketing Analytics, Regression Analysis, Statistical Modeling, Data Visualization, Statistical Analysis, Market Analysis, Marketing, Predictive Analytics, Marketing Strategies, Predictive Modeling, Customer Insights, Market Dynamics, Statistical Hypothesis Testing, A/B Testing

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of California San Diego

      Meaningful Predictive Modeling

      Skills you'll gain: Predictive Modeling, Data Validation, Verification And Validation, Regression Analysis, Applied Machine Learning, Supervised Learning, Classification And Regression Tree (CART), Python Programming, Statistical Methods, Scikit Learn (Machine Learning Library), Text Mining, Test Data, Natural Language Processing

      4.3
      Rating, 4.3 out of 5 stars
      ·
      48 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      J

      Johns Hopkins University

      Generative AI and Symbolic Reasoning

      Skills you'll gain: Generative AI, Large Language Modeling, ChatGPT, OpenAI, Artificial Intelligence, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Prompt Engineering, Natural Language Processing

      4.9
      Rating, 4.9 out of 5 stars
      ·
      7 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Western Australia

      Diversity and Inclusion: Developing A Strategy

      Skills you'll gain: Workforce Planning, Recruitment Strategies, Diversity and Inclusion, Human Resource Strategy, Talent Sourcing, Diversity Awareness, Organizational Effectiveness, Talent Acquisition, Job Analysis

      3.9
      Rating, 3.9 out of 5 stars
      ·
      11 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      C

      Coursera Project Network

      Deep Learning with PyTorch : Object Localization

      Skills you'll gain: PyTorch (Machine Learning Library), Image Analysis, Computer Vision, Applied Machine Learning, Deep Learning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      43 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • M

      MathWorks

      Deep Learning for Object Detection

      Skills you'll gain: Computer Vision, Image Analysis, Deep Learning, Matlab, Data Visualization, Applied Machine Learning, Machine Learning Methods, Data Analysis, Performance Tuning

      4.9
      Rating, 4.9 out of 5 stars
      ·
      10 reviews

      Beginner · Course · 1 - 4 Weeks

    • D

      Duke University

      Interpretable Machine Learning

      Skills you'll gain: Large Language Modeling, Decision Tree Learning, Data Ethics, Regression Analysis, Predictive Modeling, Machine Learning, Applied Machine Learning, Statistical Modeling, Python Programming, Artificial Intelligence and Machine Learning (AI/ML), Natural Language Processing, Deep Learning, Artificial Neural Networks, Algorithms

      4.7
      Rating, 4.7 out of 5 stars
      ·
      14 reviews

      Intermediate · Course · 1 - 4 Weeks

    • A

      Alfaisal University | KLD

      الدخل القومي | National Income

      Skills you'll gain: Economics, Financial Policy, Market Dynamics, Economic Development, Supply And Demand, Socioeconomics, Policy Analysis, International Relations, Production Line

      Beginner · Course · 1 - 4 Weeks

    • S

      Simplilearn

      Social Media Marketing

      Skills you'll gain: Social Media Marketing, Social Media Campaigns, Content Performance Analysis, Social Media Strategy, Instagram, Facebook, Pinterest, Digital Advertising, Customer Engagement, LinkedIn, Brand Awareness, Content Creation, Target Audience

      Beginner · Course · 1 - 4 Weeks

    Searches related to revenue recognition

    الاعتراف بالإيراد | revenue recognition
    1…515253…95

    In summary, here are 10 of our most popular revenue recognition courses

    • Artificial Intelligence for Breast Cancer Detection: Johns Hopkins University
    • Rust for Large Language Model Operations (LLMOps): Duke University
    • Computational Vision: University of Colorado Boulder
    • Regression Modeling for Marketers: University of Colorado System
    • Meaningful Predictive Modeling: University of California San Diego
    • Generative AI and Symbolic Reasoning: Johns Hopkins University
    • Diversity and Inclusion: Developing A Strategy: University of Western Australia
    • Deep Learning with PyTorch : Object Localization: Coursera Project Network
    • Deep Learning for Object Detection: MathWorks
    • Interpretable Machine Learning: Duke University

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