Syllabus Lectures CS 4786 Machine Learning for Data Science Cornell University An introductory course in machine learning, with a focus on data modeling and related methods and learning algorithms for data sciences. Tentative topic list: Dimensionality reduction, such as principal component analysis (...
With all the deep learning hype around, you now enter into the current research work in Computer Vision: the use of ConvNets.Stanford’s CS231n: Convolutional Neural Networks for Visual Recognitionis a comprehensive course on this. Although videos have been taken down from the official website,...
syllabus:http://web.stanford.edu/class/cs231m/syllabus.html projects:http://web.stanford.edu/class/cs231m/projects.html resources:http://web.stanford.edu/class/cs231m/resources.html CSCI1950-G Computational Photography http://cs.brown.edu/courses/csci1950-g/ MIT CSAIL: 6.819/6.869: Advances...
CS395T : Special Topics in Computer Vision , Spring 2010 Object Recognition Course overview : Syllabus overview : Important datesEmail, Kristen Grauman
Fei-Fei Li: http://vision.stanford.edu/feifeili/ Justin Johnson: http://cs.stanford.edu/people/jcjohns/ Serena Yeung: http://ai.stanford.edu/~syyeung/ Prerequisites Any video player with codecs which might be let you watch lectures Recommendation Windows : PotPlayer(kakao) Linux : SM Pla...
CS205L Continuous Mathematical Methods with an Emphasis on Machine Learning CS221 Artificial Intelligence: Principles and Techniques CS221 Artificial Intelligence: Principles and Techniques🎦 CS131 Computer Vision Foundations and Applications CS231A Computer Vision, From 3D Reconstruction to Recognition ...
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