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Jon teaches how to plasti dip car wheels.
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Tesla Referral link: http://ts.la/daniel7437
Jon teaches how to plasti dip car wheels.
Tesla Referral link: http://ts.la/daniel7437 Jon teaches how to plasti dip car wheels.
Open this video on macheads101Word embeddings are one of the coolest things you can do with Machine Learning right now. Try the web app: https://embeddings.macheads101.com Word2vec paper: https://arxiv.org/abs/1301.3781 GloVe paper: https://nlp.stanford.edu/pubs/glove.pdf GloVe webpage:...
Open this video on macheads101A survey of some current research, including my own, in a particular subfield of machine learning. Lake et al: http://web.mit.edu/cocosci/Papers/Science-2015-Lake-1332-8.pdf Santoro et al: https://arxiv.org/abs/1605.06065 Finn et al: https://arxiv.org/abs/1...
Open this video on macheads101Radial Basis Function Networks are not talked about a lot these days, but they are very interesting and useful. Handwriting demo: http://macheads101.com/demos/handwriting/?c=rbf Resizing images with RBF networks: https://github.com/unixpickle/rbfscale#resul...
Open this video on macheads101Neural nets are a cool buzzword, and we all know that buzzwords make you a billionaire. But are neural nets really worth a 49 minute video? Yes, duh, it's a billion dollars; don't be lazy. But seriously, here are some timestamps in case you want to skip aro...
Open this video on macheads101In this video, I present some applications of artificial neural networks and describe how such networks are typically structured. My hope is to create another video (soon) in which I describe how neural networks are actually trained from data.
Open this video on macheads101In this video, I show you how to use the cut, xargs, and sort commands. These commands are really great together, especially for tasks involving large lists of files. At the end of the video, I give an example of how to use all the commands together to find...
Open this video on macheads101In this video, I show how to use Bayes classifiers to determine if a piece of text is "positive" or "negative". In other words, I show you how to make a program with feelings! The kind of classifier I show is called a Bernoulli naive Bayes classifier: https...
Open this video on macheads101Markov chains are used for keyboard suggestions, search engines, and a boatload of other cool things. In this video, I discuss the basic ideas behind Markov chains and show how to use them to generate random text. My code to generate text: https://github.co...
Open this video on macheads101K-nearest neighbors, while perhaps the simplest possible machine learning algorithm, is extremely useful for a variety of tasks. In this video, I explain how it works and demonstrate its performance on handwriting recognition. See the handwriting demo here:...
Open this video on macheads101Lossless file compression might seem complex, mysterious, or hard to implement. My goal with this video is to demystify it. After watching this, you should have a better idea of what happens whenever you zip a file, browse the web, or upload documents to th...
Open this video on macheads101For the past 6 months or so, I have been teaching myself about artificial intelligence. In this video, I describe some of the places I learned from and a few of the things I've done with my new found knowledge. MIT OpenCourseware videos: http://ocw.mit.edu/...
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