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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.


More to explore:

Cours et certificats populaires en Apprentissage automatique


  • Status: Free Trial
    Free Trial
    I

    IBM

    Deep Learning with PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Deep Learning, Convolutional Neural Networks, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Applied Machine Learning, Supervised Learning, Logistic Regression, Classification Algorithms, Model Evaluation

    4.5
    Rating, 4.5 out of 5 stars
    ·
    77 reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    CNNs with TensorFlow: Basics of Machine Learning

    Skills you'll gain: Tensorflow, Convolutional Neural Networks, Keras (Neural Network Library), Matplotlib, Artificial Neural Networks, Image Analysis, Deep Learning, Applied Machine Learning, Python Programming, Model Evaluation, Adaptability, Problem Solving

    Intermediate · Guided Project · Less Than 2 Hours

  • G

    Google Cloud

    BigQuery Machine Learning using Soccer Data

    Skills you'll gain: Analytics, Advanced Analytics, Google Cloud Platform, Model Evaluation, Big Data, Predictive Analytics, Applied Machine Learning, Data Analysis, Predictive Modeling, Data-Driven Decision-Making

    Intermediate · Project · Less Than 2 Hours

  • P

    Packt

    Machine Learning – Modern Computer Vision & Generative AI

    Skills you'll gain: Test Driven Development (TDD), Image Analysis, Computer Vision, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Convolutional Neural Networks, Deep Learning, Keras (Neural Network Library), Tensorflow, Python Programming, Data Preprocessing, Development Environment, Jupyter, NumPy

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    U

    UNSW Sydney (The University of New South Wales)

    Learning to Teach Online

    Skills you'll gain: Teaching, Digital pedagogy, Learning Management Systems, Education Software and Technology, Planning, Technology Strategies, digital literacy, Technical Communication, Content Management

    4.7
    Rating, 4.7 out of 5 stars
    ·
    3.2K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    Intermediate Data Manipulation and Machine Learning

    Skills you'll gain: Model Evaluation, Classification Algorithms, Reinforcement Learning, Applied Machine Learning, Artificial Intelligence, Dimensionality Reduction, Statistical Analysis, Supervised Learning, Unsupervised Learning, Random Forest Algorithm, Feature Engineering, Logistic Regression, Data Manipulation

    Intermediate · Course · 3 - 6 Months

  • Status: Free
    Free
    C

    Coursera

    Tidymodels in R: Building tidy machine learning models

    Skills you'll gain: Tidyverse (R Package), Model Evaluation, Data Visualization, Clinical Data Management, Data Preprocessing, Data Manipulation, Predictive Modeling, R Programming, Predictive Analytics, Data Pipelines, Feature Engineering, Applied Machine Learning, Machine Learning, Random Forest Algorithm, Performance Tuning, Logistic Regression

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    W

    Whizlabs

    AWS: IoT, Machine Learning and Blockchain

    Skills you'll gain: AWS SageMaker, Amazon Web Services, Internet Of Things, Artificial Intelligence and Machine Learning (AI/ML), Blockchain, Image Analysis, Remote Access Systems, Text Mining, Computer Vision, Natural Language Processing

    Intermediate · Course · 1 - 4 Weeks

  • P

    Packt

    Machine Learning: Random Forest with Python from Scratch©

    Skills you'll gain: Matplotlib, Applied Machine Learning, Random Forest Algorithm, Predictive Modeling, Data Visualization, Data Preprocessing, Machine Learning, Data Manipulation, Feature Engineering, Data Cleansing, Python Programming, Data Science, Model Evaluation, Classification Algorithms, NumPy, Pandas (Python Package)

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    B

    Board Infinity

    Machine Learning with Implementation in Java

    Skills you'll gain: Data Preprocessing, Model Deployment, Apache Mahout, Java, Java Programming, Apache Spark, Classification Algorithms, Applied Machine Learning, Deep Learning, Model Evaluation, Natural Language Processing, Data Cleansing, Machine Learning, Feature Engineering, Regression Analysis

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Machine Learning and Emerging Technologies in Cybersecurity

    Skills you'll gain: Model Evaluation, Intrusion Detection and Prevention, Threat Detection, Computer Security Incident Management, Cybersecurity, Anomaly Detection, Applied Machine Learning, Network Security, Machine Learning, Unsupervised Learning, Supervised Learning, Artificial Neural Networks

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    W

    Whizlabs

    Azure ML: Designing and Preparing Machine Learning Solutions

    Skills you'll gain: Model Deployment, Data Management, Data Pipelines, Statistical Modeling

    Intermediate · Course · 1 - 4 Weeks

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

  • Deep Learning with PyTorch: IBM
  • CNNs with TensorFlow: Basics of Machine Learning: Coursera
  • BigQuery Machine Learning using Soccer Data: Google Cloud
  • Machine Learning – Modern Computer Vision & Generative AI: Packt
  • Learning to Teach Online: UNSW Sydney (The University of New South Wales)
  • Intermediate Data Manipulation and Machine Learning: Packt
  • Tidymodels in R: Building tidy machine learning models: Coursera
  • AWS: IoT, Machine Learning and Blockchain: Whizlabs
  • Machine Learning: Random Forest with Python from Scratch©: Packt
  • Machine Learning with Implementation in Java: Board Infinity

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