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- Machine Learning's 'Amazing' Ability to Predict Chaos
quantamagazine.org/machine-learnings-amazing-ability-to-predict-chaos-20180418In a plot in their PRL paper, which appeared in January, the researchers show that their predicted flamelike solution to the Kuramoto-Sivashinsky equation exactly matches the true solution out to eight Lyapunov times before chaos finally wins, and the actua..
- Machine Learning Tutorials
chrisalbon.comMap External Values To Dataframe Values in pandas Create Column Of Values Create Table With Default Values
- Machine Learning 10-701/15-781: Lectures
cs.cmu.edu/~tom/10701_sp11/lectures.shtmlGenerative/Discriminative models minimizing squared error and maximizing data likelihood bias-variance decomposition regularization Hinge loss, log loss, 0-1 loss Settles: Active learning survey
- Statistical Data Mining Tutorials
web.archive.org/web/20050815080624/autonlab.org/tutorialsAug 2005 - It is, arguably, a useful investment to be completely happy with probability before venturing into advanced algorithms from data mining, machine learning or applied statistics. Gaussians, both the friendly univariate kind, and the slightly-reticent-but-nice..
- Machine Learning for Everyone :: In simple words. With real-world examples. Yes, again :: vas3k.com
vas3k.com/blog/machine_learning/?ref=hnThe most exciting thing is that the machine copes with this task much better than a real person does when carefully analyzing all the dependencies in their mind. Recurrent networks gave us useful things like neural machine translation (here is my post about..
- Machine Learning 10-701/15-781 Spring 2011
cs.cmu.edu/~tom/10701_sp11Machine Learning is concerned with computer programs that automatically improve their performance through experience (e.g., programs that learn to recognize human faces, recommend music and movies, and drive autonomous robots). We cover topics such as Bayes..
- Machine Learning in Python Has Never Been Easier! - The Official Blog of BigML.com
blog.bigml.com/2012/05/04/machine-learning-in-python-has-never-been-easierMay 2012 - Our easy-to-use, public API is a great step in that direction but a few bindings for popular languages is obviously a big bonus. The BigML Python module makes it extremely easy to programmatically manage BigML sources, datasets, models and predictions. So w..
- Basics of Machine Learning
- Machine Learning - complete course notes
holehouse.org/mlclassThe following notes represent a complete, stand alone interpretation of Stanford's machine learning course presented by Professor Andrew Ng and originally posted on the ml-class.org website during the fall 2011 semester. All diagrams are my own or are direc..
- Extreme learning machine - Wikipedia
en.wikipedia.org/wiki/Extreme_learning_machineFrom 2001-2010, ELM research mainly focused on the unified learning framework for "generalized" single-hidden layer feedforward neural networks (SLFNs), including but not limited to sigmoid networks, RBF networks, threshold networks, trigonometric networ..