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Results for "openai library"


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    P

    Pearson

    Test-Driven Development for JavaScript: Unit 2

    Skills you'll gain: Jest (JavaScript Testing Framework), Test Driven Development (TDD), Test Case, Development Testing, Unit Testing, Software Testing, Testability, Javascript, Mockups, Simulations

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Microsoft

    Code and framework based agent development

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Packt

    Advanced Features and Deployment

    Skills you'll gain: Leaflet (Software), React.js, Application Deployment, Application Development, Web Development, HTML and CSS, Cascading Style Sheets (CSS), Responsive Web Design, UI Components

    Intermediate · Course · 1 - 4 Weeks

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    Northeastern University

    Statistical Learning for Engineering Part 1

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Regression Analysis, Applied Machine Learning, Statistical Modeling, Machine Learning Algorithms, PyTorch (Machine Learning Library), Statistical Methods, Statistical Machine Learning, Machine Learning, Predictive Analytics, Predictive Modeling, Statistical Programming, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Probability & Statistics, Dimensionality Reduction

    Intermediate · Course · 1 - 3 Months

  • Status: New
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    E

    EDUCBA

    Python: Logistic Regression & Supervised ML

    Skills you'll gain: Feature Engineering, Supervised Learning, Exploratory Data Analysis, Machine Learning Algorithms, Applied Machine Learning, Decision Tree Learning, Predictive Modeling, Data Analysis, Scikit Learn (Machine Learning Library), Machine Learning, Classification And Regression Tree (CART), Statistical Modeling, Pandas (Python Package), NumPy, Data Cleansing, Data Manipulation

    Mixed · Course · 1 - 4 Weeks

  • Status: Preview
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    DeepLearning.AI

    Modèles de séquence

    Skills you'll gain: Natural Language Processing, Deep Learning, Generative AI, Tensorflow, PyTorch (Machine Learning Library), Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Machine Learning, Machine Learning Algorithms, Algorithms, Network Architecture

    Intermediate · Course · 1 - 4 Weeks

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    Google Cloud

    ML Pipelines on Google Cloud - 日本語版

    Skills you'll gain: Google Cloud Platform, CI/CD, MLOps (Machine Learning Operations), Data Pipelines, Tensorflow, Continuous Deployment, Continuous Integration, Kubernetes, Metadata Management, PyTorch (Machine Learning Library), Containerization

    Advanced · Course · 1 - 3 Months

  • Status: New
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    EDUCBA

    Seaborn Setup: Tools, Data Prep & EDA for Visualization

    Skills you'll gain: Data Processing, Data-Driven Decision-Making, NumPy

    Mixed · Course · 1 - 4 Weeks

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    Northeastern University

    Statistical Learning for Engineering Part 2

    Skills you'll gain: PyTorch (Machine Learning Library), Applied Machine Learning, Unsupervised Learning, Reinforcement Learning, Supervised Learning, Machine Learning Algorithms, Dimensionality Reduction, Statistical Machine Learning, Machine Learning, Machine Learning Software, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Classification And Regression Tree (CART), Random Forest Algorithm, Generative Model Architectures

    Intermediate · Course · 1 - 3 Months

  • G

    Google Cloud

    Feature Engineering - Italiano

    Skills you'll gain: Feature Engineering, Tensorflow, Data Pipelines, Data Processing, Data Transformation, Keras (Neural Network Library), Applied Machine Learning, Data Modeling, Machine Learning, Statistical Methods

    Intermediate · Course · 1 - 3 Months

  • Status: New
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    Packt

    Data Representation and Serialization

    Skills you'll gain: Interoperability, Data Transformation, Python Programming, Application Security

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    EDUCBA

    Python: Implement & Evaluate Random Forests for ML

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

    Mixed · Course · 1 - 4 Weeks

Searches related to openai library

call gemini using the openai library
1…777879…82

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

  • Test-Driven Development for JavaScript: Unit 2: Pearson
  • Code and framework based agent development: Microsoft
  • Advanced Features and Deployment: Packt
  • Statistical Learning for Engineering Part 1: Northeastern University
  • Python: Logistic Regression & Supervised ML: EDUCBA
  • Modèles de séquence: DeepLearning.AI
  • ML Pipelines on Google Cloud - 日本語版: Google Cloud
  • Seaborn Setup: Tools, Data Prep & EDA for Visualization: EDUCBA
  • Statistical Learning for Engineering Part 2: Northeastern University
  • Feature Engineering - Italiano: Google Cloud

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