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.

Skills you'll gain: Feature Engineering, Responsible AI, Tensorflow, Data Preprocessing, Keras (Neural Network Library), Google Cloud Platform, Data Quality, Applied Machine Learning, Data Cleansing, Machine Learning, Logistic Regression, Data Pipelines, Data Strategy, Supervised Learning, Model Evaluation, Model Deployment, Dataflow, Performance Tuning, Artificial Neural Networks, MLOps (Machine Learning Operations)
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Generative AI, Google Cloud Platform, MLOps (Machine Learning Operations), Prompt Engineering, Tensorflow, AI Workflows, Cloud Infrastructure, Artificial Intelligence, Big Data, Model Deployment, Machine Learning, Supervised Learning
Beginner · Course · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: Data Warehousing, Apache Hadoop, Databases, Transaction Processing, Distributed Computing, Database Systems, Database Management Systems, Relational Databases, Database Management, Database Architecture and Administration, Cloud Computing, Big Data, Machine Learning Software, Data Processing, Machine Learning, Scalability, Data Integrity, Disaster Recovery
Intermediate · Course · 1 - 4 Weeks
University of Illinois Urbana-Champaign
Skills you'll gain: Classification Algorithms, Business Analytics, Data Preprocessing, Regression Analysis, Applied Machine Learning, Scikit Learn (Machine Learning Library), Unsupervised Learning, Business Intelligence, Predictive Modeling, Machine Learning, Python Programming, Decision Tree Learning, Supervised Learning, Model Evaluation
Build toward a degree
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Feature Engineering, Model Deployment, Responsible AI, Tensorflow, Exploratory Data Analysis, Data Preprocessing, Google Cloud Platform, Keras (Neural Network Library), Data Quality, Applied Machine Learning, Data Cleansing, Machine Learning, Statistical Machine Learning, Embeddings, MLOps (Machine Learning Operations), Data Strategy, Machine Learning Algorithms, Supervised Learning, Model Evaluation, Artificial Neural Networks
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Feature Engineering, Responsible AI, Model Deployment, Tensorflow, Exploratory Data Analysis, Data Quality, Machine Learning, Applied Machine Learning, Keras (Neural Network Library), Scikit Learn (Machine Learning Library), Google Cloud Platform, MLOps (Machine Learning Operations), Data Cleansing, Supervised Learning, Data Preprocessing, Data Strategy, Artificial Neural Networks, Model Evaluation, Logistic Regression, Performance Tuning
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Natural Language Processing, Python Programming, Text Mining, Artificial Intelligence, Data Preprocessing, Machine Learning, Applied Machine Learning, Data Collection, Data Analysis
Intermediate · Course · 1 - 4 Weeks

Northeastern University
Skills you'll gain: Data Mining, Health Informatics, Acute Care, Emerging Technologies, Big Data, Health Technology, Analytics, Data Preprocessing, Clinical Informatics, Machine Learning, Health Care, Applied Machine Learning, Artificial Intelligence, Social Determinants Of Health, Home Health Care, Generative AI, Business Process Improvement
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: NumPy, PyTorch (Machine Learning Library), Predictive Modeling, Matplotlib, Artificial Intelligence, Development Environment, Pandas (Python Package), Deep Learning, Classification And Regression Tree (CART), Python Programming, Artificial Neural Networks, Data Manipulation, Tensorflow, Regression Analysis, Machine Learning, Computer Programming, Model Evaluation
Beginner · Course · 3 - 6 Months

Skills you'll gain: AWS SageMaker, MLOps (Machine Learning Operations), Feature Engineering, AI Personalization, Model Deployment, Amazon Web Services, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Data Cleansing, Data Processing, Data Wrangling, Data Integrity, Machine Learning, Machine Learning Algorithms, Data Modeling, Supervised Learning, Data Mining, Random Forest Algorithm, Data Management, Unsupervised Learning
Intermediate · Specialization · 3 - 6 Months
Skills you'll gain: Data Warehousing, Google Cloud Platform, Big Data, Model Evaluation, Apache Spark, Database Management, Data Integration, Dataflow, SQL, Data Pipelines, Metadata Management, Data Management, Real Time Data, Tensorflow, Data Science, Command-Line Interface, Applied Machine Learning, Cloud-Based Integration, Query Languages, Machine Learning
Intermediate · Specialization · 1 - 3 Months

Skills you'll gain: Unsupervised Learning, Dimensionality Reduction, Supervised Learning, R Programming, Applied Machine Learning, R (Software), Classification Algorithms, Machine Learning, Decision Tree Learning, Data Science, Ggplot2, Feature Engineering, Data Preprocessing, Statistical Programming, Predictive Modeling, Data Manipulation, Model Evaluation, Regression Analysis
Beginner · Course · 1 - 3 Months