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Results for "pattern+recognition"
Skills you'll gain: Machine Learning, Computer Vision, Matlab
Skills you'll gain: Algorithms, Human Learning, Machine Learning, Machine Learning Algorithms, Applied Machine Learning, Machine Learning Software, Statistical Machine Learning, General Statistics, Probability & Statistics, Regression
Status: FreeSungkyunkwan University
Skills you'll gain: Machine Learning
Skills you'll gain: Computer Vision
Coursera Project Network
Skills you'll gain: Artificial Neural Networks, Deep Learning, Machine Learning, Python Programming, Tensorflow
Columbia University
Skills you'll gain: Computer Vision, Mathematics, Algebra, Algorithms, Computational Thinking, Linear Algebra
MathWorks
Skills you'll gain: Computer Vision, Matlab
Imperial College London
Skills you'll gain: Algebra, Linear Algebra, Machine Learning, Mathematics, Computer Programming, Dimensionality Reduction, Mathematical Theory & Analysis, Python Programming, Statistical Analysis, Applied Mathematics
Skills you'll gain: Machine Learning, Natural Language Processing, Probability & Statistics, Python Programming, Machine Learning Algorithms, Applied Machine Learning, Computer Programming, General Statistics, Mathematics
Vanderbilt University
Skills you'll gain: Machine Learning, Python Programming
Status: Free
In summary, here are 10 of our most popular pattern+recognition courses
- Computer Vision for Engineering and Science:Â MathWorks
- Supervised Machine Learning: Classification:Â IBM
- Machine Learning Basics:Â Sungkyunkwan University
- Object Tracking and Motion Detection with Computer Vision:Â MathWorks
- Basic Image Classification with TensorFlow:Â Coursera Project Network
- First Principles of Computer Vision:Â Columbia University
- Introduction to Computer Vision:Â MathWorks
- Mathematics for Machine Learning: PCA:Â Imperial College London
- Natural Language Processing with Classification and Vector Spaces:Â DeepLearning.AI
- GPT Vision: Seeing the World through Generative AI:Â Vanderbilt University
