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: 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, Keras (Neural Network Library), Supervised Learning, LLM Application, Generative AI Agents, Vector Databases, Fine-tuning, Machine Learning, Python Programming, Data Science
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
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, Data Cleansing, Model Optimization, Data Analysis, Network Architecture
Status: Free TrialUniversity of Colorado Boulder
Skills you'll gain: Classification Algorithms, Applied Machine Learning, Machine Learning Methods, Dimensionality Reduction, Data Analysis, Supervised Learning, Anomaly Detection, Machine Learning, Machine Learning Algorithms, Unsupervised Learning, Data Mining, Predictive Modeling, Model Evaluation, Regression Analysis, Decision Tree Learning, Statistical Methods, Project Planning, Logistic Regression
Status: NewStatus: Free TrialUniversity of Michigan
Skills you'll gain: Computational Thinking, Logical Reasoning, Critical Thinking, Data Analysis, Deductive Reasoning, Mathematical Modeling, Analytical Skills, Analysis, Experimentation, Mathematics and Mathematical Modeling, Critical Thinking and Problem Solving, Data Literacy, Systems Thinking, Statistical Methods, Simulations, Predictive Modeling, Programming Principles, Decision Making, Statistical Inference, Prompt Engineering
Status: Free TrialUniversity of Illinois Urbana-Champaign
Skills you'll gain: Data Visualization, Data Visualization Software, Text Mining, Data Presentation, Data Mining, Dashboard, Tableau Software, Plot (Graphics), Dashboard Creation, Natural Language Processing, Unsupervised Learning, Data Mapping, Unstructured Data, Statistical Analysis, Graphing, Big Data, Data-Driven Decision-Making, Analytics, Data Analysis, Statistical Machine Learning
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
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
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
- IBM AI Engineering:Â IBM
- Face Recognition with Keras: Detect & Classify:Â EDUCBA
- Deep Learning for Object Detection:Â MathWorks
- Data Analysis with Python Project :Â University of Colorado Boulder
- Critical Thinking and Decision Science:Â University of Michigan
- Data Mining:Â University of Illinois Urbana-Champaign
