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  1. Categories
  2. Machine Learning

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


  • G

    Google Cloud

    Preparing for Google Cloud Certification: Machine Learning Engineer

    Skills you'll gain: Feature Engineering, MLOps (Machine Learning Operations), Model Optimization, Google Cloud Platform, Generative AI Agents, Model Deployment, Tensorflow, Model Training, Dataflow, Big Data, Keras (Neural Network Library), Machine Learning, Data Preprocessing, Prompt Engineering, CI/CD, Generative AI, Model Evaluation, Cloud Infrastructure, Data Migration, Cloud Computing

    4.4 stars, 5K reviews, Intermediate, Professional Certificate, 3 - 6 Months

    ★ 4.4 (5K) · Intermediate · Professional Certificate · 3 - 6 Months

    Status: Top AI program
    Top AI program
  • M

    Microsoft

    Foundations of AI and Machine Learning

    Skills you'll gain: Model Deployment, Data Management, Artificial Intelligence and Machine Learning (AI/ML), AI Workflows, Data Cleansing, Artificial Intelligence, Data Security, Application Frameworks, Machine Learning, Data Preprocessing, Data Pipelines, Scalability

    4.5 stars, 295 reviews, Intermediate, Course, 1 - 3 Months

    ★ 4.5 (295) · Intermediate · Course · 1 - 3 Months

  • A

    Amazon Web Services

    Developing Machine Learning Solutions

    Skills you'll gain: Model Evaluation, MLOps (Machine Learning Operations), Amazon Web Services, Model Deployment, Machine Learning

    4.6 stars, 141 reviews, Beginner, Course, 1 - 4 Weeks

    ★ 4.6 (141) · Beginner · Course · 1 - 4 Weeks

    Category: Free
    Free
  • D

    DeepLearning.AI

    Probability & Statistics for Machine Learning & Data Science

    Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Statistical Methods, Probability Distribution, Probability, Statistical Inference, Statistics, A/B Testing, Statistical Analysis, Exploratory Data Analysis, Statistical Visualization

    4.6 stars, 701 reviews, Intermediate, Course, 1 - 4 Weeks

    ★ 4.6 (701) · Intermediate · Course · 1 - 4 Weeks

  • J

    Johns Hopkins University

    Applied Machine Learning

    Skills you'll gain: Computer Vision, Model Evaluation, PyTorch (Machine Learning Library), Supervised Learning, Unsupervised Learning, Image Analysis, Applied Machine Learning, Data Preprocessing, Dimensionality Reduction, Machine Learning Methods, Reinforcement Learning, Feature Engineering, Machine Learning Algorithms, Convolutional Neural Networks, Regression Analysis, Data Processing, Model Training, Machine Learning, Deep Learning, Model Optimization

    3.6 stars, 18 reviews, Intermediate, Specialization, 3 - 6 Months

    ★ 3.6 (18) · Intermediate · Specialization · 3 - 6 Months

  • C

    Coursera

    Machine Learning Pipelines with Azure ML Studio

    Skills you'll gain: Model Deployment, Decision Tree Learning, Applied Machine Learning, Predictive Modeling, Microsoft Azure, No-Code Development, Machine Learning, Data Preprocessing, Model Training, Cloud Deployment, Machine Learning Algorithms, Model Evaluation, Data Science, Data Analysis, Classification Algorithms

    4.5 stars, 838 reviews, Beginner, Guided Project, Less Than 2 Hours

    ★ 4.5 (838) · Beginner · Guided Project · Less Than 2 Hours

    Category: Free
    Free
  • A

    Alberta Machine Intelligence Institute

    Machine Learning: Algorithms in the Real World

    Skills you'll gain: Supervised Learning, Data Preprocessing, Feature Engineering, Model Optimization, Responsible AI, Machine Learning Algorithms, Data Ethics, Applied Machine Learning, Model Evaluation, Data Quality, Machine Learning Methods, Classification Algorithms, Model Training, MLOps (Machine Learning Operations), Model Deployment, Machine Learning, Decision Tree Learning, Business Operations, Data Cleansing, Project Management

    4.6 stars, 1.1K reviews, Intermediate, Specialization, 3 - 6 Months

    ★ 4.6 (1.1K) · Intermediate · Specialization · 3 - 6 Months

  • I

    Imperial College London

    Mathematics for Machine Learning: Linear Algebra

    Skills you'll gain: Linear Algebra, Applied Mathematics, Data Science, Data Manipulation, Data Transformation, Machine Learning

    4.6 stars, 13K reviews, Beginner, Course, 1 - 3 Months

    ★ 4.6 (13K) · Beginner · Course · 1 - 3 Months

  • J

    Johns Hopkins University

    Practical Machine Learning

    Skills you'll gain: Model Evaluation, Predictive Modeling, Machine Learning Algorithms, Machine Learning Methods, Feature Engineering, Applied Machine Learning, Data Preprocessing, R Programming, Classification Algorithms, Machine Learning, Random Forest Algorithm, Regression Analysis

    4.5 stars, 3.3K reviews, Mixed, Course, 1 - 4 Weeks

    ★ 4.5 (3.3K) · Mixed · Course · 1 - 4 Weeks

  • D

    DeepLearning.AI

    AI For Everyone

    Skills you'll gain: Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, AI literacy, Machine Learning, Data Science, Deep Learning, Artificial Neural Networks

    4.8 stars, 54K reviews, Beginner, Course, 1 - 4 Weeks

    ★ 4.8 (54K) · Beginner · Course · 1 - 4 Weeks

    Status: Top AI program
    Top AI program
  • U

    University of Pennsylvania

    Machine Learning Essentials

    Skills you'll gain: Statistical Machine Learning, Model Evaluation, Statistical Methods, Logistic Regression, Statistical Modeling, Python Programming, Machine Learning Methods, Machine Learning, Classification Algorithms, Regression Analysis, Statistical Analysis, Applied Machine Learning, Probability & Statistics, Statistical Hypothesis Testing

    5 stars, 6 reviews, Intermediate, Course, 1 - 4 Weeks

    ★ 5 (6) · Intermediate · Course · 1 - 4 Weeks

  • I

    IBM

    IBM AI Developer

    Skills you'll gain: Prompt Engineering, Unit Testing, Software Development Life Cycle, Generative AI, Retrieval-Augmented Generation, Large Language Modeling, Software Architecture, Responsible AI, Computer Vision, LangChain, LLM Application, Javascript, Full-Stack Web Development, IBM Cloud, Data Ethics, Python Programming, Application Deployment, Software Development, Machine Learning, Data Science

    4.6 stars, 83K reviews, Beginner, Professional Certificate, 3 - 6 Months

    ★ 4.6 (83K) · Beginner · Professional Certificate · 3 - 6 Months

    Status: Top AI program
    Top AI program
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