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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: Free Trial
    Free Trial
    Status: AI skills
    AI skills
    I

    IBM

    IBM Data Engineering

    Skills you'll gain: NoSQL, Extract, Transform, Load, Database Administration, Apache Spark, Data Warehousing, Web Scraping, Data Pipelines, Apache Hadoop, Database Architecture and Administration, Database Design, Linux Commands, SQL, IBM Cognos Analytics, Data Store, Generative AI, Professional Networking, Data Import/Export, Python Programming, Data Analysis, Data Science

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    62K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    What is Data Science?

    Skills you'll gain: Data Literacy, Data Mining, Data Processing, Big Data, Cloud Computing, Data Analysis, Data Science, Digital Transformation, Data-Driven Decision-Making, Data Storage, Deep Learning, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    78K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    Edureka

    No-Code Data Science and Machine Learning

    Skills you'll gain: Model Evaluation, Data Analysis, Data Manipulation, Data Wrangling, Classification Algorithms, Data Collection, Image Analysis, Model Deployment, No-Code Development, Machine Learning Software, Data Analysis Software, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Machine Learning Methods, Data Science, Exploratory Data Analysis, Machine Learning Algorithms, Artificial Intelligence, Data Processing, Natural Language Processing

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    AI Product Management

    Skills you'll gain: Deep Learning, MLOps (Machine Learning Operations), Responsible AI, Model Evaluation, Data Ethics, Data Management, Experience Design, Unsupervised Learning, Model Training, User Experience Design, Data Quality, Model Deployment, Data Preprocessing, Human Centered Design, Machine Learning, Regression Analysis, Project Management, Product Management, Product Design, Data Science

    4.7
    Rating, 4.7 out of 5 stars
    ·
    1.2K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Packt

    Building AI Agents with LLMs, RAG, and Knowledge Graphs

    Skills you'll gain: Prompt Engineering, Retrieval-Augmented Generation, LLM Application, Large Language Modeling, Reinforcement Learning, Artificial Intelligence and Machine Learning (AI/ML), LangChain, AI Orchestration, Natural Language Processing, Generative AI Agents, Agentic Workflows, Multimodal Prompts, AI Integrations, Artificial Intelligence, Agentic systems, Machine Learning Methods, Python Programming, Machine Learning, System Design and Implementation, Data Science

    Intermediate · Specialization · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Packt

    Advanced DeepSeek: Fine-Tuning, Optimization, and Deployment

    Skills you'll gain: Model Deployment, Deepseek, Fine-tuning, Legal Technology, Model Optimization, Cloud Deployment, LLM Application, Deep Learning, Model Training, Transfer Learning, MLOps (Machine Learning Operations), AI Workflows, Gemini, Large Language Modeling, Artificial Intelligence and Machine Learning (AI/ML), Cloud Computing, Performance Tuning, Generative AI Agents, Data Science

    Advanced · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Packt

    Designing and Deploying Advanced AI Agents and Applications

    Skills you'll gain: Reinforcement Learning, Artificial Intelligence and Machine Learning (AI/ML), AI Orchestration, LLM Application, Generative AI Agents, Agentic Workflows, Artificial Intelligence, Agentic systems, Large Language Modeling, Machine Learning Methods, Cloud Services, Responsible AI, Cloud Deployment, Machine Learning Algorithms, Front-End Web Development, Python Programming, Scalability, Data Science, Data Management

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Machine Learning Foundations for Product Managers

    Skills you'll gain: Deep Learning, Model Evaluation, Unsupervised Learning, Machine Learning, Regression Analysis, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Artificial Neural Networks, Decision Tree Learning, Model Training, Computer Vision, Logistic Regression, Supervised Learning, Machine Learning Algorithms, Natural Language Processing, Data Science, Predictive Analytics

    4.7
    Rating, 4.7 out of 5 stars
    ·
    826 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    Edureka

    Explainability Methods & Evaluation

    Skills you'll gain: Model Evaluation, Model Training, AI Security, Testability, Feature Engineering, Statistical Methods, Responsible AI, Model Optimization, Predictive Analytics, Applied Machine Learning, Data Analysis, Predictive Modeling, Data Preprocessing, Data Science, Data Visualization, Machine Learning Algorithms, Python Programming, Data Management

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Tools for Data Science

    Skills you'll gain: Jupyter, R (Software), R Programming, Computer Programming Tools, GitHub, Software Development Tools, Data Visualization Software, Data Science, Statistical Programming, Cloud Hosting, Scikit Learn (Machine Learning Library), Cloud Services, Cloud API, Cloud Computing, Git (Version Control System), Cloud Platforms, Other Programming Languages, Integrated Development Environments, Version Control, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    30K reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Packt

    Foundations of AI-Driven Marketing Analytics

    Skills you'll gain: Marketing Analytics, Time Series Analysis and Forecasting, Data-Driven Marketing, Key Performance Indicators (KPIs), Marketing Strategies, Marketing Effectiveness, Marketing Automation, AI Personalization, Strategic Marketing, Advanced Analytics, Marketing, Forecasting, Customer Analysis, Data Preprocessing, Trend Analysis, Digital Marketing, Performance Measurement, Data-Driven Decision-Making, Generative AI, Data Science

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Packt

    Generative AI for Marketing: Advanced & Responsible

    Skills you'll gain: Retrieval-Augmented Generation, Generative AI, Generative Model Architectures, Generative Adversarial Networks (GANs), Responsible AI, Large Language Modeling, LangChain, Data Ethics, AI Personalization, Personalized Campaigns, LLM Application, Marketing Strategies, Artificial Intelligence and Machine Learning (AI/ML), Augmented and Virtual Reality (AR/VR), Transfer Learning, Customer Insights, Digital Marketing, Data Science

    Intermediate · Course · 1 - 3 Months

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

  • IBM Data Engineering: IBM
  • What is Data Science? : IBM
  • No-Code Data Science and Machine Learning: Edureka
  • AI Product Management: Duke University
  • Building AI Agents with LLMs, RAG, and Knowledge Graphs: Packt
  • Advanced DeepSeek: Fine-Tuning, Optimization, and Deployment: Packt
  • Designing and Deploying Advanced AI Agents and Applications: Packt
  • Machine Learning Foundations for Product Managers: Duke University
  • Explainability Methods & Evaluation: Edureka
  • Tools for Data Science: IBM

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