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  • 研究科学文章

Results for "研究科学文章"


  • Status: Preview
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    N

    Northeastern University

    Generative AI: Foundations and Concepts

    Skills you'll gain: Generative AI, Generative Model Architectures, Artificial Neural Networks, Deep Learning, Bayesian Network, Mathematical Modeling, Computer Vision, Estimation, Applied Mathematics, Machine Learning, Network Architecture, Probability Distribution, Calculus

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
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    S

    Sungkyunkwan University

    Recommender Systems

    Skills you'll gain: Scalability, Deep Learning, Applied Machine Learning, Data Mining, Data Processing, Machine Learning, Machine Learning Algorithms, Algorithms, Artificial Neural Networks, Data Structures

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Glasgow

    Capstone Assignment - CDSS 5

    Skills you'll gain: Data Mining, Deep Learning, Clinical Data Management, Health Informatics, Responsible AI, Applied Machine Learning, Feature Engineering, Machine Learning, Predictive Modeling, Artificial Intelligence, Artificial Neural Networks, Time Series Analysis and Forecasting

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    B

    Board Infinity

    Key Industry 4.0 Technologies in Manufacturing - 2

    Skills you'll gain: Cloud Computing, Cloud Computing Architecture, Manufacturing Operations, Cybersecurity, Manufacturing Processes, Augmented and Virtual Reality (AR/VR), Blockchain, Cloud Security, Production Process, Emerging Technologies, Augmented Reality, Artificial Intelligence and Machine Learning (AI/ML), Virtual Reality, Artificial Intelligence, Big Data, Real Time Data, Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    7 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
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    J

    Johns Hopkins University

    Ein Crashkurs in Datenwissenschaft

    Skills you'll gain: Data Science, Data Management, Data Analysis, Data-Driven Decision-Making, Data Presentation, Exploratory Data Analysis, Machine Learning, Predictive Modeling, Statistical Inference

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Data Science Ethics with R

    Skills you'll gain: Data Ethics, Responsible AI, Data Visualization, Data Presentation, Data Storytelling, Ethical Standards And Conduct, Data Science, Data Collection, Data Visualization Software, Personally Identifiable Information, Information Privacy, Machine Learning, Algorithms

    4.9
    Rating, 4.9 out of 5 stars
    ·
    8 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
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    U

    University of Washington

    머신 러닝: 회귀 모델

    Skills you'll gain: Regression Analysis, Supervised Learning, Predictive Modeling, Statistical Modeling, Statistical Methods, Machine Learning, Applied Machine Learning, Feature Engineering, Exploratory Data Analysis, Python Programming, Linear Algebra, Algorithms, Data Visualization

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Geliştiriciler için Üretken Yapay Zeka

    Skills you'll gain: Responsible AI, Prompt Engineering, Google Gemini, Prompt Patterns, Generative AI, Multimodal Prompts, Keras (Neural Network Library), Generative Model Architectures, Cloud Security, Data Ethics, Tensorflow, Information Privacy, Google Cloud Platform, Artificial Intelligence, Image Analysis, Semantic Web, AI Product Strategy, Natural Language Processing, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning

    Advanced · Specialization · 3 - 6 Months

  • Status: Preview
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    U

    University of Washington

    머신 러닝 기초: 사례 연구 접근 방식

    Skills you'll gain: Regression Analysis, Applied Machine Learning, Machine Learning, Deep Learning, Jupyter, Classification And Regression Tree (CART), Supervised Learning, Predictive Modeling, Predictive Analytics, Artificial Intelligence, Unsupervised Learning, Computer Vision, Text Mining, Natural Language Processing, Data Mining

    Mixed · Course · 1 - 3 Months

  • Status: Preview
    Preview
    N

    Northeastern University

    Machine Learning for Engineers: Algorithms and Applications

    Skills you'll gain: Supervised Learning, Statistical Machine Learning, Machine Learning Algorithms, Unsupervised Learning, PyTorch (Machine Learning Library), Applied Machine Learning, Statistical Modeling, Machine Learning, Machine Learning Software, Statistical Analysis, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Regression Analysis, Algorithms, Predictive Modeling, Dimensionality Reduction, Complex Problem Solving

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Pennsylvania

    Intro to Predictive Analytics Using Python

    Skills you'll gain: Feature Engineering, Unsupervised Learning, Predictive Modeling, Predictive Analytics, Decision Tree Learning, Classification And Regression Tree (CART), Supervised Learning, Forecasting, Random Forest Algorithm, Scikit Learn (Machine Learning Library), Data Analysis, Regression Analysis, Machine Learning, Python Programming

    Beginner · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Orchestrating a TFX Pipeline with Airflow

    Skills you'll gain: Apache Airflow, Tensorflow, MLOps (Machine Learning Operations), Google Cloud Platform, Data Pipelines, Machine Learning Methods, Cloud Computing, Machine Learning

    1.3
    Rating, 1.3 out of 5 stars
    ·
    7 reviews

    Beginner · Project · Less Than 2 Hours

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In summary, here are 10 of our most popular 研究科学文章 courses

  • Generative AI: Foundations and Concepts: Northeastern University
  • Recommender Systems: Sungkyunkwan University
  • Capstone Assignment - CDSS 5: University of Glasgow
  • Key Industry 4.0 Technologies in Manufacturing - 2: Board Infinity
  • Ein Crashkurs in Datenwissenschaft: Johns Hopkins University
  • Data Science Ethics with R: Duke University
  • 머신 러닝: 회귀 모델: University of Washington
  • Geliştiriciler için Üretken Yapay Zeka: Google Cloud
  • 머신 러닝 기초: 사례 연구 접근 방식: University of Washington
  • Machine Learning for Engineers: Algorithms and Applications: Northeastern University

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