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CS-E3210 - Machine Learning: Basic Principles, 13.09.2017-08.12.2017
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Some Well-Written Tutorials
Tutorial on (Deep) Learning by Yoshua Bengio
URL
A Few Useful Things to Know about Machine Learning
URL
Kernel Methods in Computer Vision
URL
A Tutorial on Spectral Clustering
URL
Algorithms
Gradient Descent for Convex Optimization
URL
Clustering via Random Walks
URL
Distributed Learning and Optimization via ADMM
URL
Support Vector Machine (Classifier) Solvers
URL
Learning from Labeled and Unlabeled Data with Label Propagation
URL
Applications of Machine Learning
Machine Learning for Chemistry
URL
Talks
Machine Learning for Big Data. Visionary Talk of Prof. Michael Jordan
URL
Machine Learning Software
Interactive Python Notebook
URL
Matlab for New Users
URL
A Tutorial on Machine Learning and Data Science Tools with Python
File
PDF document
Stanford Course on TensorFlow
URL
Python Tutorial
URL
Tutorial on Theano. "Theano" is a Python library which allows for rapid development of efficient machine learning algorithms.
URL
Advanced Statistical Learning Theory
(for those who want to dig deeper)
Statistical Learning Theory - Lecture Slides by Martin Wainwright
URL
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CS-E3210 - Machine Learning: Basic Principles, 13.09.2017-08.12.2017
Sections
General
Lectures
Exercises
Home-Assignments
Data Analysis Project
How to Participate
The Team
How Did You Like The Lecture?
Additional Material
How Did You Like The Exercise Garage?
Grading
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