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Results for "interfaces homme-machine"

  • Status: Free Trial
    Free Trial
    G

    Google

    Build Dynamic User Interfaces (UI) for Websites

    Skills you'll gain: Responsive Web Design, User Experience Design, Design Reviews, Wireframing, Usability Testing, User Research, User Centered Design, User Interface (UI) Design, Prototyping, Mockups, User Flows, Information Architecture

    4.8
    Rating, 4.8 out of 5 stars
    ·
    3.8K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    Mathematics for Machine Learning: Linear Algebra

    Skills you'll gain: Linear Algebra, NumPy, Applied Mathematics, Machine Learning Algorithms, Data Science, Algorithms, Data Manipulation, Python Programming

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

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Designing User Interfaces and Experiences (UI/UX)

    Skills you'll gain: User Experience Design, Responsive Web Design, Web Design and Development, Prototyping, Graphic and Visual Design, User Interface and User Experience (UI/UX) Design, Figma (Design Software), Web Design, User Interface (UI), Wireframing, Typography, Web Applications, Mobile Development, Design Thinking

    4.5
    Rating, 4.5 out of 5 stars
    ·
    282 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Linear Algebra for Machine Learning and Data Science

    Skills you'll gain: Linear Algebra, NumPy, Dimensionality Reduction, Machine Learning Methods, Data Transformation, Data Manipulation, Data Science, Applied Mathematics, Mathematical Modeling, Machine Learning, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    2.1K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Exploratory Data Analysis for Machine Learning

    Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Statistical Methods, Statistical Inference, Statistical Hypothesis Testing, Data Processing, Data Access, Statistics, Statistical Analysis, Data Analysis, Data Cleansing, Data Manipulation, Machine Learning, Probability & Statistics, Data Transformation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    2.4K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    D

    Duke University

    Introduction to Machine Learning

    Skills you'll gain: PyTorch (Machine Learning Library), Machine Learning Methods, Reinforcement Learning, Deep Learning, Image Analysis, Applied Machine Learning, Natural Language Processing, Machine Learning, Artificial Neural Networks, Supervised Learning, Unsupervised Learning, Python Programming, Computer Vision, Medical Imaging

    4.7
    Rating, 4.7 out of 5 stars
    ·
    3.8K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    U

    University of London

    Machine Learning for All

    Skills you'll gain: Applied Machine Learning, Feature Engineering, Machine Learning, Data Processing, Artificial Intelligence, Supervised Learning, Data Analysis, Computer Vision, Deep Learning, Data Collection

    Build toward a degree

    4.7
    Rating, 4.7 out of 5 stars
    ·
    3.5K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free
    Free
    A

    Amazon Web Services

    Planning a Machine Learning Project

    Skills you'll gain: Feasibility Studies, Business Analysis, Business Analytics, Strategic Decision-Making, Applied Machine Learning, Data-Driven Decision-Making, Machine Learning, Strategic Thinking, Business Leadership, Project Planning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    12 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Applied Machine Learning in Python

    Skills you'll gain: Feature Engineering, Applied Machine Learning, Supervised Learning, Scikit Learn (Machine Learning Library), Predictive Modeling, Machine Learning, Decision Tree Learning, Unsupervised Learning, Python Programming, Dimensionality Reduction, Random Forest Algorithm, Regression Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    8.6K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Structuring Machine Learning Projects

    Skills you'll gain: Deep Learning, Applied Machine Learning, Machine Learning, Tensorflow, PyTorch (Machine Learning Library), MLOps (Machine Learning Operations), Debugging, Artificial Intelligence, Computer Vision, Data-Driven Decision-Making, Performance Tuning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    50K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Calculus for Machine Learning and Data Science

    Skills you'll gain: Applied Mathematics, Calculus, Numerical Analysis, Mathematical Modeling, Machine Learning, Python Programming, Regression Analysis, Artificial Neural Networks, Deep Learning, Derivatives

    4.8
    Rating, 4.8 out of 5 stars
    ·
    898 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    E

    Edge Impulse

    Introduction to Embedded Machine Learning

    Skills you'll gain: Applied Machine Learning, Embedded Systems, Data Processing, Machine Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Data Ethics, Deep Learning, Data Analysis, Feature Engineering, Computer Programming

    4.8
    Rating, 4.8 out of 5 stars
    ·
    739 reviews

    Intermediate · Course · 1 - 4 Weeks

1…789…239

In summary, here are 10 of our most popular interfaces homme-machine courses

  • Build Dynamic User Interfaces (UI) for Websites: Google
  • Mathematics for Machine Learning: Linear Algebra: Imperial College London
  • Designing User Interfaces and Experiences (UI/UX): IBM
  • Linear Algebra for Machine Learning and Data Science: DeepLearning.AI
  • Exploratory Data Analysis for Machine Learning: IBM
  • Introduction to Machine Learning: Duke University
  • Machine Learning for All: University of London
  • Planning a Machine Learning Project: Amazon Web Services
  • Applied Machine Learning in Python: University of Michigan
  • Structuring Machine Learning Projects: DeepLearning.AI

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