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  • Mlops(机器学习 Operator)

Results for "mlops(机器学习 operator)"


  • Status: Free Trial
    Free Trial
    F

    Fractal Analytics

    Advanced Machine Learning Algorithms

    Skills you'll gain: Feature Engineering, Machine Learning Algorithms, Random Forest Algorithm, Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Machine Learning, Classification And Regression Tree (CART), Supervised Learning, Predictive Modeling, Decision Tree Learning, Performance Tuning, Regression Analysis

    3.6
    Rating, 3.6 out of 5 stars
    ·
    11 reviews

    Beginner · Course · 1 - 3 Months

  • D

    Duke University

    Local LLMs with llamafile

    Skills you'll gain: LLM Application, Real Time Data, Large Language Modeling, Application Deployment, System Monitoring, Generative AI, Open Source Technology, Cross Platform Development, Application Programming Interface (API), Machine Learning

    2.7
    Rating, 2.7 out of 5 stars
    ·
    7 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Visualizing Filters of a CNN using TensorFlow

    Skills you'll gain: Tensorflow, Applied Machine Learning, Python Programming, Jupyter, Artificial Neural Networks, Deep Learning, Computer Vision, Machine Learning

    4.4
    Rating, 4.4 out of 5 stars
    ·
    81 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Object Localization with TensorFlow

    Skills you'll gain: Tensorflow, Keras (Neural Network Library), Image Analysis, Computer Vision, Artificial Neural Networks, Applied Machine Learning, Deep Learning, Machine Learning, Python Programming

    4.3
    Rating, 4.3 out of 5 stars
    ·
    116 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • 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
    P

    Packt

    Natural Language Processing with Real-World Projects

    Skills you'll gain: Pandas (Python Package), Matplotlib, NumPy, Data Visualization, Machine Learning Algorithms, Natural Language Processing, Semantic Web, Data Manipulation, Linear Algebra, Seaborn, Deep Learning, Machine Learning, Python Programming, Text Mining, Data Science, Data Processing, Supervised Learning, Applied Machine Learning, Unstructured Data, Markov Model

    4.8
    Rating, 4.8 out of 5 stars
    ·
    9 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Theory of Angular Momentum

    Skills you'll gain: Linear Algebra, Physics, Mathematical Modeling, Applied Mathematics

    4.1
    Rating, 4.1 out of 5 stars
    ·
    20 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    CUDA Advanced Libraries

    Skills you'll gain: Artificial Neural Networks, Deep Learning, Software Development, Machine Learning Methods, Image Analysis, Linear Algebra, Machine Learning, Data Structures, Performance Tuning, Data Transformation, Algorithms, Data Science

    3
    Rating, 3 out of 5 stars
    ·
    20 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    Foundations and Core Concepts of PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Deep Learning, Machine Learning, Supervised Learning, Artificial Neural Networks, Artificial Intelligence, Python Programming, Regression Analysis, Software Installation, System Configuration, Development Environment, Performance Tuning

    4.4
    Rating, 4.4 out of 5 stars
    ·
    42 reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Interpretable machine learning applications: Part 5

    Skills you'll gain: Responsible AI, Histogram, Predictive Modeling, Data Visualization, Machine Learning, Policy Analysis, Statistical Methods, Data Science, Descriptive Statistics, Data Ethics, Development Environment, Software Engineering

    4.5
    Rating, 4.5 out of 5 stars
    ·
    19 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Preview
    Preview
    N

    Nanjing University

    软件测试 (Software Testing)

    Skills you'll gain: Software Testing, Functional Testing, System Testing, Performance Testing, Debugging, Unit Testing, Test Automation, Test Case, Integration Testing, Selenium (Software), Mobile Development

    4.4
    Rating, 4.4 out of 5 stars
    ·
    35 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Advanced Data Structures, RSA and Quantum Algorithms

    Skills you'll gain: Public Key Cryptography Standards (PKCS), Cryptography, Data Structures, Algorithms, Encryption, Theoretical Computer Science, Computer Science, Computational Thinking, Data Storage Technologies, Linear Algebra, Python Programming, Arithmetic

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    42 reviews

    Advanced · Course · 1 - 4 Weeks

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In summary, here are 10 of our most popular mlops(机器学习 operator) courses

  • Advanced Machine Learning Algorithms: Fractal Analytics
  • Local LLMs with llamafile: Duke University
  • Visualizing Filters of a CNN using TensorFlow: Coursera
  • Object Localization with TensorFlow: Coursera
  • Titanic Survival Prediction Using Machine Learning: Coursera
  • Natural Language Processing with Real-World Projects: Packt
  • Theory of Angular Momentum: University of Colorado Boulder
  • CUDA Advanced Libraries: Johns Hopkins University
  • Foundations and Core Concepts of PyTorch: Packt
  • Interpretable machine learning applications: Part 5: Coursera

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