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Results for "openai library"


  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Applied Machine Learning

    Skills you'll gain: Computer Vision, PyTorch (Machine Learning Library), Supervised Learning, Unsupervised Learning, Image Analysis, Applied Machine Learning, Dimensionality Reduction, Reinforcement Learning, Feature Engineering, Machine Learning Algorithms, Regression Analysis, Data Processing, Machine Learning, Predictive Modeling, Data Mining, Data Cleansing, Statistical Machine Learning, Deep Learning, Artificial Neural Networks, Decision Tree Learning

    3.5
    Rating, 3.5 out of 5 stars
    ·
    14 reviews

    Intermediate · Specialization · 3 - 6 Months

  • C

    Coursera

    ML Parameters Optimization: GridSearch, Bayesian, Random

    Skills you'll gain: Scikit Learn (Machine Learning Library), Regression Analysis, Performance Tuning, Applied Machine Learning, Machine Learning Methods, Statistical Machine Learning, Machine Learning, Bayesian Statistics, Data Analysis

    4.9
    Rating, 4.9 out of 5 stars
    ·
    8 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Supervised Text Classification for Marketing Analytics

    Skills you'll gain: Supervised Learning, Deep Learning, Scikit Learn (Machine Learning Library), Machine Learning, Tensorflow, Text Mining, Predictive Modeling, Classification And Regression Tree (CART), Data Manipulation, Marketing Analytics, Python Programming, Feature Engineering, Google Cloud Platform, Data Processing, Artificial Neural Networks, Performance Metric

    Build toward a degree

    3.1
    Rating, 3.1 out of 5 stars
    ·
    14 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Packt

    Introduction to RNN and DNN

    Skills you'll gain: PyTorch (Machine Learning Library), Artificial Intelligence, Applied Machine Learning, Artificial Neural Networks, Deep Learning, Application Deployment, Machine Learning, Predictive Modeling, Natural Language Processing, Python Programming, Performance Tuning, Data Science

    Beginner · Course · 1 - 4 Weeks

  • Status: Free
    Free
    D

    DeepLearning.AI

    Quantization in Depth

    Skills you'll gain: PyTorch (Machine Learning Library), Dimensionality Reduction

    4.7
    Rating, 4.7 out of 5 stars
    ·
    6 reviews

    Intermediate · Project · Less Than 2 Hours

  • C

    Coursera

    React - State management in functional components (HOOKS)

    Skills you'll gain: React.js, JavaScript Frameworks, UI Components, Javascript, Web Development Tools, Front-End Web Development, Web Development

    Intermediate · Guided Project · Less Than 2 Hours

  • P

    Packt

    Harnessing Ollama – Create Local LLMs with Python

    Skills you'll gain: LLM Application, Tool Calling, Large Language Modeling, Command-Line Interface, Python Programming, Application Development, User Interface (UI), Software Installation, Restful API, System Configuration, JSON, System Requirements, Development Environment

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    Università di Napoli Federico II

    Python per la Data Science

    Skills you'll gain: PyTorch (Machine Learning Library), NumPy, Image Analysis, Pandas (Python Package), Matplotlib, Artificial Neural Networks, Deep Learning, Computer Vision, Keras (Neural Network Library), Jupyter, Data Manipulation, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Python Programming, Data Science, Scikit Learn (Machine Learning Library)

    4.3
    Rating, 4.3 out of 5 stars
    ·
    9 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free
    Free
    C

    Coursera

    Advanced UI with Material 3: Customization & Performance

    Skills you'll gain: Responsive Web Design, UI Components, User Interface (UI) Design, Application Design, User Interface and User Experience (UI/UX) Design, Figma (Design Software), Performance Tuning, Prototyping, Design

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    P

    Packt

    Deep Learning: Recurrent Neural Networks with Python

    Skills you'll gain: PyTorch (Machine Learning Library), Tensorflow, Artificial Intelligence, Applied Machine Learning, Artificial Neural Networks, Deep Learning, Application Deployment, Text Mining, Machine Learning, Natural Language Processing, Predictive Modeling, Python Programming, Time Series Analysis and Forecasting, Artificial Intelligence and Machine Learning (AI/ML), Network Architecture, Performance Tuning, Data Science, Data Processing, Data Analysis

    Beginner · Specialization · 1 - 3 Months

  • P

    Packt

    Mastering Image Segmentation with PyTorch

    Skills you'll gain: Image Analysis, Applied Machine Learning, Deep Learning, Computer Vision, Artificial Neural Networks, Machine Learning Methods, Data Processing, Performance Tuning, Regression Analysis

    Beginner · Course · 1 - 4 Weeks

  • Status: Free
    Free
    D

    DeepLearning.AI

    Introduction to On-Device AI

    Skills you'll gain: Application Deployment, Performance Testing, Android Development, Image Analysis, PyTorch (Machine Learning Library), Embedded Software, Deep Learning, Tensorflow, Hardware Architecture, Artificial Neural Networks, Real Time Data, Artificial Intelligence

    4.3
    Rating, 4.3 out of 5 stars
    ·
    22 reviews

    Beginner · Project · Less Than 2 Hours

Searches related to openai library

call gemini using the openai library
1…585960…82

In summary, here are 10 of our most popular openai library courses

  • Applied Machine Learning: Johns Hopkins University
  • ML Parameters Optimization: GridSearch, Bayesian, Random: Coursera
  • Supervised Text Classification for Marketing Analytics: University of Colorado Boulder
  • Introduction to RNN and DNN: Packt
  • Quantization in Depth: DeepLearning.AI
  • React - State management in functional components (HOOKS): Coursera
  • Harnessing Ollama – Create Local LLMs with Python: Packt
  • Python per la Data Science: Università di Napoli Federico II
  • Advanced UI with Material 3: Customization & Performance: Coursera
  • Deep Learning: Recurrent Neural Networks with Python: Packt

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