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 TrialImperial College London
Skills you'll gain: Dimensionality Reduction, Linear Algebra, Regression Analysis, NumPy, Calculus, Unsupervised Learning, Applied Mathematics, Statistical Methods, Descriptive Statistics, Model Optimization, Mathematical Software, Jupyter, Statistics, Numerical Analysis, Applied Machine Learning, Geometry, Artificial Neural Networks, Data Science, Data Manipulation, Data Transformation
Status: Free TrialDeepLearning.AI
Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Statistical Methods, Probability Distribution, Linear Algebra, Statistical Inference, Model Optimization, Machine Learning Methods, Statistics, Applied Mathematics, Probability, Calculus, Dimensionality Reduction, Applied Machine Learning, Mathematical Software, Data Transformation, Machine Learning
Status: Free TrialDeepLearning.AI
Skills you'll gain: Linear Algebra, Dimensionality Reduction, Mathematical Software, Machine Learning Methods, Data Transformation, Data Manipulation, Applied Mathematics, Machine Learning, Python Programming, Algebra, Image Analysis
Status: Free TrialImperial College London
Skills you'll gain: Linear Algebra, Applied Mathematics, Jupyter, Data Science, Data Manipulation, Data Transformation, Machine Learning
Status: NewStatus: Free TrialUniversity of Colorado Boulder
Skills you'll gain: Recurrent Neural Networks (RNNs), Generative AI, Fine-tuning, Model Training, Vision Transformer (ViT), Model Optimization, Large Language Modeling, Embeddings, Network Architecture, Linear Algebra
Status: Free TrialAlberta Machine Intelligence Institute
Skills you'll gain: Feature Engineering, Data Preprocessing, Model Evaluation, Data Quality, Model Training, Data Validation, Data Cleansing, Data Transformation, Verification And Validation, Applied Machine Learning, Machine Learning, Responsible AI, Machine Learning Algorithms, Algorithms, Python Programming, Computer Programming, Linear Algebra, Statistical Analysis
What brings you to Coursera today?
Status: Free TrialUniversity of Colorado Boulder
Skills you'll gain: Image Analysis, Computer Vision, Autoencoders, Convolutional Neural Networks, Vision Transformer (ViT), Generative Adversarial Networks (GANs), Recurrent Neural Networks (RNNs), Deep Learning, Generative Model Architectures, Artificial Intelligence and Machine Learning (AI/ML), Computer Graphics, Visualization (Computer Graphics), Machine Learning Methods, Model Deployment, Embeddings, Artificial Intelligence, Data Ethics, Data Processing, Applied Machine Learning, Linear Algebra
Status: PreviewSungkyunkwan University
Skills you'll gain: Machine Learning Algorithms, Machine Learning Methods, Machine Learning, Python Programming, Supervised Learning, Model Evaluation, Scikit Learn (Machine Learning Library), Logistic Regression, Analysis, Applied Machine Learning, Regression Analysis, Model Training, Unsupervised Learning, Mathematics and Mathematical Modeling, Statistical Methods, Linear Algebra
Status: Free TrialSkills you'll gain: Sampling (Statistics), Data Mining, Statistical Hypothesis Testing, Probability, Statistical Machine Learning, Probability & Statistics, Linear Algebra, Statistical Methods, Statistical Analysis, Statistical Inference, Data Analysis, Probability Distribution, Data Science, Statistics, Machine Learning Methods, Applied Machine Learning, Unsupervised Learning, Machine Learning Algorithms, Machine Learning, Supervised Learning
Status: Free TrialUniversity of Toronto
Skills you'll gain: Computer Vision, Convolutional Neural Networks, Image Analysis, Control Systems, Robotics, Embedded Software, Automation, Deep Learning, Software Architecture, Safety Assurance, Global Positioning Systems, Hardware Architecture, Systems Architecture, Network Routing, Graph Theory, Estimation, Algorithms, Simulations, Mathematical Modeling, Linear Algebra
Status: Free TrialBirla Institute of Technology & Science, Pilani
Skills you'll gain: Linear Algebra, Numerical Analysis, Artificial Intelligence and Machine Learning (AI/ML), Applied Mathematics, AI Enablement, Data Analysis, Machine Learning, Dimensionality Reduction, Model Optimization, Artificial Neural Networks
Status: Free TrialImperial College London
Skills you'll gain: Regression Analysis, Calculus, Model Optimization, Mathematical Software, Numerical Analysis, Applied Mathematics, Applied Machine Learning, Linear Algebra, Artificial Neural Networks, Derivatives
In summary, here are 10 of our most popular machine learning courses
- Mathematics for Machine Learning:Â Imperial College London
- Mathematics for Machine Learning and Data Science:Â DeepLearning.AI
- Linear Algebra for Machine Learning and Data Science:Â DeepLearning.AI
- Mathematics for Machine Learning: Linear Algebra:Â Imperial College London
- Machine Learning: Theory and Hands-on Practice with Python:Â University of Colorado Boulder
- Data for Machine Learning:Â Alberta Machine Intelligence Institute
- Computer Vision:Â University of Colorado Boulder
- Machine Learning Basics:Â Sungkyunkwan University
- Machine Learning with Python & Statistics:Â EDUCBA
- Self-Driving Cars:Â University of Toronto
