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Cours en Apprentissage automatique

Les cours en apprentissage automatique peuvent vous aider à comprendre comment construire, entraîner et analyser des modèles prédictifs. Vous pouvez développer des compétences en préparation des données, choix d'algorithmes, optimisation et évaluation. De nombreux cours utilisent des bibliothèques courantes pour tester des modèles.


Cours et certificats populaires en Apprentissage automatique


  • Status: New
    New
    Status: Free Trial
    Free Trial
    S

    SAS

    Responsible Innovation and Trustworthy AI

    Skills you'll gain: Responsible AI, Data Ethics, AI Security, Regulatory Compliance, Artificial Intelligence, AI literacy, Business Ethics, Risk Analysis, SAS (Software), Ethical Standards And Conduct, Human Centered Design, Accountability, Analytics, Diversity and Inclusion, Information Privacy, Data Management, Model Deployment

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Build and deploy a stroke prediction model using R

    Skills you'll gain: Feature Engineering, Model Evaluation, Predictive Modeling, Model Deployment, Model Training, Predictive Analytics, R (Software), R Programming, Data Analysis, Statistical Modeling, Statistical Analysis, Data Wrangling, Data Cleansing, Data Manipulation, Classification Algorithms, Data Import/Export, Data Preprocessing, Data Presentation, Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    31 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Preview
    Preview
    V

    Vanderbilt University

    Generative AI and Model Selection

    Skills you'll gain: Generative Model Architectures, Generative AI, Model Deployment, Model Evaluation, Prompt Engineering, Model Optimization, Cloud Deployment, LLM Application, Retrieval-Augmented Generation, Large Language Modeling

    4.8
    Rating, 4.8 out of 5 stars
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    8 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    A

    Arm

    Introduction to AI

    Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Model Training, Artificial Intelligence, Model Evaluation, Machine Learning Methods, Machine Learning, Machine Learning Algorithms, Artificial Neural Networks, Deep Learning, Supervised Learning, Data Ethics, Large Language Modeling, Responsible AI, AI literacy, Data Science

    4.7
    Rating, 4.7 out of 5 stars
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    10 reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    P

    Packt

    AI Engineer Explorer Course

    Skills you'll gain: Model Evaluation, Matplotlib, Applied Machine Learning, Machine Learning Methods, Supervised Learning, Statistical Machine Learning, Statistics, Scientific Visualization, Probability, Artificial Intelligence and Machine Learning (AI/ML), Statistical Analysis, Computer Programming

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    U

    Universidad de los Andes

    Introducción al deep learning contemporáneo

    Skills you'll gain: Recurrent Neural Networks (RNNs), Generative AI, Deep Learning, Convolutional Neural Networks, Generative Model Architectures, Generative Adversarial Networks (GANs), Transfer Learning, Vision Transformer (ViT), Image Analysis, Artificial Neural Networks, Machine Learning Methods, Model Optimization, Network Architecture, Natural Language Processing, Model Training

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    8 reviews

    Beginner · Course · 1 - 4 Weeks

  • N

    NVIDIA

    AI Infrastructure and Operations Fundamentals

    Skills you'll gain: Cloud Deployment, Artificial Intelligence and Machine Learning (AI/ML), Generative AI, Large Language Modeling, MLOps (Machine Learning Operations), Artificial Intelligence, LLM Application, Cloud Computing, Cloud Solutions, Generative Model Architectures, AI Enablement, Model Deployment, Cloud Infrastructure, Cloud Computing Architecture, AI Orchestration, Infrastructure Architecture, AI Workflows, Data Infrastructure, Artificial Neural Networks, Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
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    485 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Microsoft Azure AI Fundamentals AI-900 Exam Prep

    Skills you'll gain: Responsible AI, Image Analysis, Anomaly Detection, Text Mining, Unsupervised Learning, Microsoft Azure, Data Ethics, Natural Language Processing, AI Workflows, Computer Vision, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Applied Machine Learning, Machine Learning Software, AI literacy, Model Training, Regression Analysis, No-Code Development, Predictive Modeling, Machine Learning

    4.5
    Rating, 4.5 out of 5 stars
    ·
    1.6K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Build RAG Applications: Get Started

    Skills you'll gain: Retrieval-Augmented Generation, LLM Application, AI Workflows, Large Language Modeling, Embeddings, Vector Databases

    4.5
    Rating, 4.5 out of 5 stars
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    137 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI: Business Transformation and Career Growth

    Skills you'll gain: Generative AI, Leadership and Management, AI Enablement, Business Leadership, Strategic Leadership, Content Creation, Market Opportunities, AI Integrations, Business Transformation, New Business Development, Content Development and Management

    4.7
    Rating, 4.7 out of 5 stars
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    255 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    S

    Scrimba

    Retrieval-Augmented Generation (RAG) with Embeddings & Vector Databases

    Skills you'll gain: Retrieval-Augmented Generation, Vector Databases, Embeddings, Development Environment, OpenAI API, AI Integrations, Large Language Modeling, Database Management Systems, Databases, OpenAI, Artificial Intelligence, System Configuration

    4.7
    Rating, 4.7 out of 5 stars
    ·
    62 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI for Data Scientists

    Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Generative Model Architectures, Exploratory Data Analysis, Generative Adversarial Networks (GANs), Data Ethics, Feature Engineering, AI literacy, Predictive Modeling, Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), Data Science, Data Synthesis, Data Analysis, Data Visualization Software, Augmented and Virtual Reality (AR/VR), Autoencoders, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    12K reviews

    Intermediate · Specialization · 1 - 3 Months

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In summary, here are 10 of our most popular machine learning courses

  • Responsible Innovation and Trustworthy AI : SAS
  • Build and deploy a stroke prediction model using R: Coursera
  • Generative AI and Model Selection: Vanderbilt University
  • Introduction to AI: Arm
  • AI Engineer Explorer Course: Packt
  • Introducción al deep learning contemporáneo: Universidad de los Andes
  • AI Infrastructure and Operations Fundamentals: NVIDIA
  • Microsoft Azure AI Fundamentals AI-900 Exam Prep: Microsoft
  • Build RAG Applications: Get Started: IBM
  • Generative AI: Business Transformation and Career Growth: IBM

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