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Find the best Computer Vision course for your goals
Status: Free TrialUniversity of Washington
Skills you'll gain: Regression Analysis, Applied Machine Learning, Feature Engineering, Machine Learning, Image Analysis, Unsupervised Learning, Predictive Modeling, Classification And Regression Tree (CART), Supervised Learning, Bayesian Statistics, Statistical Modeling, Artificial Intelligence, Deep Learning, Data Mining, Computer Vision, Statistical Machine Learning, Predictive Analytics, Text Mining, Machine Learning Algorithms, Big Data
Status: Free TrialColumbia University
Skills you'll gain: Computer Vision, Image Analysis, Dimensionality Reduction, Artificial Neural Networks, Unsupervised Learning, Deep Learning, Graph Theory, Machine Learning Algorithms, Machine Learning, Linear Algebra
Status: PreviewUniversity of London
Skills you'll gain: Machine Learning, Data Processing, Artificial Intelligence, Data Analysis, Machine Learning Algorithms, Computer Vision, Data Collection, Software Testing
Status: Free TrialUniversity of California San Diego
Skills you'll gain: Session Initiation Protocols, Cloud Development, Android Development, Integrated Development Environments, Cloud Computing Architecture, GitHub, Cloud Computing, Application Development, Android (Operating System), Amazon Web Services, Android Studio, Software Design Documents, System Design and Implementation, Internet Of Things, Unit Testing, Telecommunications, Image Analysis, Embedded Software, Mobile Development, Computer Vision

Skills you'll gain: Amazon Web Services, Amazon S3, Computer Vision, Cloud Computing, Image Analysis, Application Deployment, Machine Learning
Status: Free TrialUniversity of Washington
Skills you'll gain: Applied Machine Learning, Feature Engineering, Regression Analysis, Machine Learning, Image Analysis, Supervised Learning, Artificial Intelligence, Deep Learning, Classification And Regression Tree (CART), Computer Vision, Predictive Modeling, Natural Language Processing, Text Mining, Python Programming, Data Mining
Status: Free TrialSkills you'll gain: Keras (Neural Network Library), Deep Learning, PyTorch (Machine Learning Library), Machine Learning Methods, Computer Vision, Geospatial Information and Technology, Machine Learning, Data Pipelines, Python Programming
Status: PreviewSkills you'll gain: Generative AI, Image Analysis, Application Deployment, Computer Vision, Visualization (Computer Graphics), Cloud Computing, Deep Learning, Supervised Learning
Status: PreviewUniversitat Autònoma de Barcelona
Skills you'll gain: Computer Vision, Image Analysis, Machine Learning Methods, Performance Testing, Feature Engineering, Spatial Analysis, Supervised Learning, Machine Learning Algorithms, Deep Learning, Artificial Neural Networks
Status: Free TrialColumbia University
Skills you'll gain: Image Analysis, Computer Vision, Computer Graphics, Algorithms, Linear Algebra, Mathematical Modeling, Machine Learning Algorithms, Machine Learning
Status: Free TrialUniversity of Michigan
Skills you'll gain: Unified Modeling Language, Software Design, Image Analysis, Python Programming, Jupyter, Software Engineering, Application Programming Interface (API), Object Oriented Programming (OOP), Computer Vision, Integrated Development Environments, Computer Programming
Status: Free TrialDeepLearning.AI
Skills you'll gain: Tensorflow, Computer Vision, Image Analysis, Keras (Neural Network Library), Deep Learning, Artificial Neural Networks, Artificial Intelligence, Machine Learning
In summary, here are 10 of our most popular computer vision courses
- Machine Learning:Â University of Washington
- Visual Perception:Â Columbia University
- Machine Learning for All:Â University of London
- Internet of Things and AI Cloud:Â University of California San Diego
- Implementando modelo Computer Vision en Amazon Sagemaker:Â Coursera
- Machine Learning Foundations: A Case Study Approach:Â University of Washington
- AI Capstone Project with Deep Learning :Â IBM
- Landing.AI for Beginners: Build Data Visualization AI Models:Â Coursera
- Clasificación de imágenes: ¿cómo reconocer el contenido de una imagen?: Universitat Autònoma de Barcelona
- Features and Boundaries:Â Columbia University










