Pattern Recognition Courses
Pattern recognition courses can help you learn techniques for data classification, feature extraction, and image analysis. You can build skills in statistical modeling, machine learning algorithms, and neural network design. Many courses introduce tools like Python libraries such as TensorFlow and scikit-learn, which are used to implement these techniques in projects involving AI and artificial intelligence applications.
Popular Pattern Recognition Courses and Certifications
Status: Free TrialMathWorks
Skills you'll gain: Computer Vision, Model Evaluation, Image Analysis, Model Training, Matlab, Machine Learning Methods, Data Preprocessing, Machine Learning, Classification Algorithms, Supervised Learning, Machine Learning Algorithms
Status: Free TrialUniversity of Illinois Urbana-Champaign
Skills you'll gain: Data Mining, Big Data, Text Mining, Unsupervised Learning, Spatial Data Analysis, Spatial Analysis, Advanced Analytics, Image Analysis, Algorithms, Model Evaluation, Correlation Analysis, Information Privacy
Status: NewStatus: Free TrialSkills you'll gain: Model Evaluation, Model Optimization, Model Deployment, MLOps (Machine Learning Operations), Transfer Learning, Image Quality, Model Training, Image Analysis, Analysis, Computer Vision, Tensorflow, Data Quality, Failure Analysis, Data Pipelines, Deep Learning, PyTorch (Machine Learning Library), Applied Machine Learning, Performance Analysis, Docker (Software), Python Programming
Status: Free TrialColumbia University
Skills you'll gain: Computer Vision, Image Quality, Image Analysis, Computer Graphics, 3D Modeling, Photography, Virtual Reality, Visualization (Computer Graphics), Medical Imaging, Artificial Neural Networks, Unsupervised Learning, Graph Theory, Dimensionality Reduction, Mathematical Modeling, Estimation, Machine Learning Algorithms, Color Theory, Algorithms, Automation Engineering, Electronic Components
Status: Free TrialSkills you'll gain: Convolutional Neural Networks, Keras (Neural Network Library), Image Analysis, Computer Vision, Data Preprocessing, Deep Learning, Artificial Neural Networks, Embeddings, Model Deployment, Application Deployment, Model Training, Classification Algorithms, Supervised Learning, Model Evaluation
Status: Free TrialSkills you'll gain: Prompt Engineering, Apache Spark, Large Language Modeling, Retrieval-Augmented Generation, PyTorch (Machine Learning Library), Computer Vision, Unsupervised Learning, Generative Model Architectures, Prompt Patterns, Generative AI, PySpark, Model Optimization, Keras (Neural Network Library), Supervised Learning, LLM Application, Vector Databases, Fine-tuning, Machine Learning, Python Programming, Data Science
What brings you to Coursera today?
Status: Free TrialMathWorks
Skills you'll gain: Computer Vision, Model Evaluation, Image Analysis, Convolutional Neural Networks, Deep Learning, Model Training, Matlab, Fine-tuning, Data Preprocessing, Software Visualization, Transfer Learning, Model Optimization, Data Analysis, Network Architecture
Status: NewStatus: PreviewUniversitat Politècnica de València
Skills you'll gain: Image Analysis, Image Quality, Quality Control, Quality Assurance, Failure Analysis, Computer Vision, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), AI literacy, Anomaly Detection, Digital Signal Processing, Automation Engineering, Structural Analysis, Manufacturing and Production, Data Preprocessing, Computer Hardware
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: NewStatus: Free TrialSkills you'll gain: Computer Vision, Image Analysis, Program Development, Data Science, Real Time Data, Software Visualization, Visualization (Computer Graphics), Code Reusability, Python Programming, Development Environment, Model Training, Classification Algorithms, File I/O, Color Matching, System Design and Implementation, Data Preprocessing, Software Installation
Status: Free TrialSkills you'll gain: Adobe Photoshop, Design Software, Journals, Software Design Patterns, Creative Design, Graphic and Visual Design, Design Elements And Principles, Creativity, Design Strategies, Design, Graphics Software, Visual Storytelling, Graphic Design, Digital Design, Editing, File Management
Status: NewKhalifa University
Skills you'll gain: Generative AI, Computer Vision, PyTorch (Machine Learning Library), Convolutional Neural Networks, Generative Adversarial Networks (GANs), Generative Model Architectures, Image Analysis, Fine-tuning, Artificial Neural Networks, Model Training, Applied Machine Learning, Model Evaluation, Deep Learning, Transfer Learning, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Model Optimization, Artificial Intelligence
In summary, here are 10 of our most popular pattern recognition courses
- Machine Learning for Computer Vision:Â MathWorks
- Pattern Discovery in Data Mining:Â University of Illinois Urbana-Champaign
- Applied Object Detection & Segmentation:Â Coursera
- First Principles of Computer Vision:Â Columbia University
- Face Recognition with Keras: Detect & Classify:Â EDUCBA
- IBM AI Engineering:Â IBM
- Deep Learning for Object Detection:Â MathWorks
- Artificial Vision for Textile quality control: Universitat Politècnica de València
- Computer Vision:Â University of Colorado Boulder
- Apply OpenCV for Real-Time Computer Vision Projects:Â EDUCBA
