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  • 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


  • Status: Free Trial
    Free Trial
    H

    Howard University

    Linear Algebra for Data Science Using Python

    Skills you'll gain: Data Wrangling, Linear Algebra, Regression Analysis, Data Manipulation, Predictive Modeling, Dimensionality Reduction, Data Science, Data Visualization, Applied Mathematics, Mathematical Modeling, Scientific Visualization, Data Preprocessing, NumPy, Predictive Analytics, Statistical Modeling, Mathematical Software, Statistical Methods, Jupyter, Algebra, Python Programming

    4.3
    Rating, 4.3 out of 5 stars
    ·
    33 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Regression and Classification

    Skills you'll gain: Statistical Modeling, Statistical Machine Learning, Data Science, Statistical Methods, Classification And Regression Tree (CART), Statistical Analysis, Model Evaluation, Regression Analysis, Predictive Modeling, R Programming, Statistical Inference, Logistic Regression, Model Training, Machine Learning, Classification Algorithms, Supervised Learning, Unsupervised Learning, Machine Learning Algorithms

    Build toward a degree

    3.9
    Rating, 3.9 out of 5 stars
    ·
    16 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    NumPy, Matplotlib & Pandas – Data Science Prerequisites

    Skills you'll gain: NumPy, Plot (Graphics), Pandas (Python Package), Scientific Visualization, Data Manipulation, Scatter Plots, Machine Learning Methods, Applied Machine Learning, Machine Learning, Data Science, Machine Learning Algorithms, Data Analysis Software, Statistical Methods, Histogram, Data Processing, Numerical Analysis, Data Import/Export, Linear Algebra, Probability Distribution, Classification Algorithms

    4
    Rating, 4 out of 5 stars
    ·
    9 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Modeling Data in the Tidyverse

    Skills you'll gain: Statistical Modeling, Exploratory Data Analysis, R Programming, Predictive Modeling, Sampling (Statistics), Statistical Hypothesis Testing, Tidyverse (R Package), Data Analysis, Data-Driven Decision-Making, Regression Analysis, Data Science, Statistical Inference, Predictive Analytics, Rmarkdown, Statistical Programming, Statistical Methods, Applied Machine Learning, Model Evaluation, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    10 reviews

    Mixed · Course · 1 - 3 Months

  • C

    Coursera

    Snowflake for Data Science: Intro to Snowpark ML for Python

    Skills you'll gain: Model Deployment, Snowflake Schema, Data Preprocessing, Applied Machine Learning, Machine Learning Methods, Model Training, MLOps (Machine Learning Operations), Machine Learning, Predictive Modeling, Data Pipelines, Data Transformation, Data Science, Python Programming, Regression Analysis

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    P

    Packt

    Keras Deep Learning & Generative Adversarial Networks (GAN)

    Skills you'll gain: Generative Adversarial Networks (GANs), Artificial Intelligence and Machine Learning (AI/ML), Exploratory Data Analysis, Model Deployment, Generative AI, Keras (Neural Network Library), NumPy, Model Optimization, Applied Machine Learning, Data Processing, PyTorch (Machine Learning Library), Predictive Modeling, Matplotlib, Data Analysis, Generative Model Architectures, Deep Learning, Transfer Learning, Artificial Intelligence, Machine Learning, Data Science

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    C

    CertNexus

    Finalize a Data Science Project

    Skills you'll gain: Applied Machine Learning, Machine Learning, Machine Learning Methods, Data Storytelling, Stakeholder Engagement, Machine Learning Algorithms, Presentations, Data Presentation, Stakeholder Communications, MLOps (Machine Learning Operations), Model Training, Model Optimization, Web Applications, Continuous Deployment, Project Closure, Data-Driven Decision-Making, Solution Delivery, Data Visualization, Data Science, Communication

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    University of Leeds

    Programming for Data Science

    Skills you'll gain: Jupyter, Programming Principles, Computer Programming Tools, Computer Programming, Python Programming, Software Installation, Data Structures, Data Science

    4.4
    Rating, 4.4 out of 5 stars
    ·
    30 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Packt

    Python Fundamentals and Data Science Essentials

    Skills you'll gain: Matplotlib, Linear Algebra, Plot (Graphics), Data Visualization, NumPy, Scientific Visualization, Machine Learning Algorithms, Statistical Visualization, Pandas (Python Package), Applied Machine Learning, Data Science, Machine Learning, Data Analysis, Python Programming, Model Optimization, Data Manipulation, Classification Algorithms, Programming Principles, Regression Analysis, Data Structures

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California, Irvine

    Interviewing for DS/AI Roles

    Skills you'll gain: Smart Goals, Goal Setting, Interviewing Skills, Professional Networking, Artificial Intelligence and Machine Learning (AI/ML), Negotiation, Professional Development, Data Science, Artificial Intelligence, Machine Learning, Compensation and Benefits, Data Analysis, Web Presence, Recruitment, Data Literacy, Events and Conferences, Data Architecture, AI literacy, Relationship Building, Job Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    27 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    E

    EDUCBA

    AI & Predictive Analytics with Python

    Skills you'll gain: Unsupervised Learning, Predictive Modeling, Supervised Learning, Model Evaluation, Applied Machine Learning, Predictive Analytics, Random Forest Algorithm, Text Mining, Classification Algorithms, Machine Learning Methods, Natural Language Processing, Machine Learning Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Computational Logic, Python Programming, Image Analysis, Data Science, Data Processing, Unstructured Data

    5
    Rating, 5 out of 5 stars
    ·
    15 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    E

    EDUCBA

    Mastering Recommendation Systems with Python

    Skills you'll gain: Model Evaluation, Data Preprocessing, Model Training, Feature Engineering, AI Personalization, Data Processing, Machine Learning Methods, Applied Machine Learning, Data Manipulation, Data Science, Machine Learning, Scalability, Machine Learning Algorithms, Machine Learning Software, Python Programming, Data Transformation, Pandas (Python Package), Predictive Analytics, Text Mining, Predictive Modeling

    4.7
    Rating, 4.7 out of 5 stars
    ·
    72 reviews

    Intermediate · Specialization · 1 - 3 Months

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

  • Linear Algebra for Data Science Using Python: Howard University
  • Regression and Classification: University of Colorado Boulder
  • NumPy, Matplotlib & Pandas – Data Science Prerequisites: Packt
  • Modeling Data in the Tidyverse: Johns Hopkins University
  • Snowflake for Data Science: Intro to Snowpark ML for Python: Coursera
  • Keras Deep Learning & Generative Adversarial Networks (GAN): Packt
  • Finalize a Data Science Project: CertNexus
  • Programming for Data Science: University of Leeds
  • Python Fundamentals and Data Science Essentials: Packt
  • Interviewing for DS/AI Roles: University of California, Irvine

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