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.

Google Cloud
Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Google Cloud Platform, AI Workflows, Data Management, Data Governance, Tensorflow, Data Preprocessing, Machine Learning, Data Pipelines, Predictive Modeling, Model Evaluation, Cloud Computing, Data Transformation
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Supervised Learning, Model Evaluation, Classification Algorithms, Applied Machine Learning, Matlab, Regression Analysis, Data Preprocessing, Predictive Modeling, Machine Learning, Feature Engineering, Decision Tree Learning, Logistic Regression, Data Cleansing
Beginner · Course · 1 - 4 Weeks

Arizona State University
Skills you'll gain: Supervised Learning, Unsupervised Learning, Generative Adversarial Networks (GANs), Deep Learning, Image Analysis, Machine Learning Algorithms, Applied Machine Learning, Python Programming, Machine Learning, Artificial Neural Networks, Model Evaluation, Data Processing, Classification Algorithms, Computer Vision, Predictive Modeling, Computer Programming, Regression Analysis
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Applied Machine Learning, Data Preprocessing, Classification Algorithms, Random Forest Algorithm, Predictive Modeling, Regression Analysis, Decision Tree Learning, Machine Learning, Scikit Learn (Machine Learning Library), Exploratory Data Analysis
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Data Preprocessing, Unsupervised Learning, Model Evaluation, Time Series Analysis and Forecasting, Supervised Learning, Machine Learning, Feature Engineering, Artificial Intelligence, Deep Learning, Classification Algorithms, Statistical Analysis, Regression Analysis
Intermediate · Course · 1 - 4 Weeks

DeepLearning.AI
Skills you'll gain: Tensorflow, Computer Vision, Model Evaluation, Image Analysis, Convolutional Neural Networks, Keras (Neural Network Library), Deep Learning, Artificial Neural Networks, Artificial Intelligence, Data Preprocessing, Machine Learning
Intermediate · Course · 1 - 4 Weeks

Cleveland Clinic
Skills you'll gain: Machine Learning Methods, Machine Learning, Machine Learning Algorithms, Healthcare Industry Knowledge, Health Informatics, Applied Machine Learning, Clinical Informatics, Health Care, Supervised Learning, Clinical Experience, Emerging Technologies, Artificial Intelligence, Reinforcement Learning, Data-Driven Decision-Making, Data Science
Beginner · Course · 1 - 4 Weeks

University of Colorado Boulder
Skills you'll gain: Machine Learning Algorithms, Big Data, Product Development, Data Preprocessing, Analytics, File Systems, New Product Development, Data Analysis, Machine Learning, Internet Of Things, Supervised Learning, Product Planning, Unsupervised Learning, Data Storage, Project Planning, Systems Of Measurement, Staff Management
Build toward a degree
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, ChatGPT, Keras (Neural Network Library), Applied Machine Learning, Tensorflow, Data Preprocessing, Image Analysis, Machine Learning Methods, Data Import/Export, Machine Learning, Python Programming, Performance Tuning, Artificial Neural Networks
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Responsible AI, Power BI, Microsoft Azure, Image Analysis, Data Visualization Software, Machine Learning, Medical Imaging, Clinical Research, Predictive Analytics, Azure Synapse Analytics, Model Evaluation, Health Informatics, Artificial Intelligence, AI Security, Applied Machine Learning, Data Preprocessing, Computer Vision, Feature Engineering
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Data Preprocessing, Model Deployment, Model Evaluation, Supervised Learning, Decision Tree Learning, Applied Machine Learning, Predictive Modeling, Random Forest Algorithm, Feature Engineering, SAS (Software), Machine Learning, Data Analysis, Business Analysis, Artificial Neural Networks, Classification Algorithms, No-Code Development, Statistical Programming
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Model Evaluation, Unsupervised Learning, Deep Learning, Autoencoders, Anomaly Detection, Applied Machine Learning, Machine Learning, Supervised Learning, Decision Tree Learning, Predictive Modeling, Classification Algorithms, Data Preprocessing, Random Forest Algorithm, Data Manipulation, Feature Engineering, Dimensionality Reduction
Intermediate · Course · 1 - 3 Months