Lets take a close look at three related terms (Deep Learning vs Machine Learning vs Pattern Recognition), and see how they relate to some of the hottest tech-themes in 2015 (namely Robotics and Artificial Intelligence). In our short journey through jargon, you should acquire a better understanding of how computer vision fits in, as well as gain an intuitive feel for how the machine learning zeitgeist has slowly evolved over time.
https://www.quora.com/What-is-the-difference-between-pattern-recognition-and-machine-learning
hi?
thank you.
Introduction 2 Supervised learning 3 Bayesian Decision Theory 4 Parametric Methods 5 Multivariate Methods 6 Dimensionality Reduction 7 Nonparametric method 8 Decision Tree 9 Linear Discrimination 10 Support Vector Machine 11 Neural Networks 12 Hidden Markov Model 13 Assessing Classification Algorithm 14 Combining Multiple Learner 15 Reinforcement Learning
Dear Maysam Toghraee ,
Look the link please.
http://37steps.com/638/machine-learning-and-pattern-recognition/
Regards, Shafagat
Dear Mayasam
Check the following link and read the blog. Tt will clarify you:
http://www.computervisionblog.com/2015/03/deep-learning-vs-machine-learning-vs.html
Pattern Recognition is a searching patterns to discriminate or represent some data.
Machine Learning is a field receiving these patterns as inputs to adjust one model.
Machine learning = collect / build rules that will be used by pattern recognition
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