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- Interactive Machine Learning
courses.media.mit.edu/2013fall/mass62These efforts include applying interaction design principles to machine learning systems, using human-subject testing to evaluate machine learning systems and inspire new methods, and changing the input and output channels of machine learning systems to bet..
- Machine Learning is Fun! Part 3: Deep Learning and Convolutional Neural Networks | by Adam Geitgey | Medium
medium.com/@ageitgey/machine-learning-is-fun-part-3-deep-learning-and-convolutional-neural-networks-f40359318721It’s really neat that simply feeding pixels into a neural network actually worked to build image recognition! First, the good news is that our “8” recognizer really does work well on simple images where the letter is right in the middle of the image: Instea..
- Machine Learning Bookcamp
mlbookcamp.comMachine Learning Bookcamp: learn machine learning by doing projects and get the skills needed to work as a data scientist or machine learning engineer. Alexey Grigorev has more than ten years of experience as a software engineer, and has spent the last six ..
- Machine Learning: An Applied Econometric Approach
- Machine Learning Bookshelf - Ghyslain Gaillard
ghyslain.me/bookshelfBelow, I share a list of interesting machine learning books I refer to for my work. It is a valuable resource for statisticians and anyone interested in data mining in science or industry. If you want to find out how to use Python to start answering critica..
- How to learn Machine Learning | Deborah Hanus
deborahhanus.com/blog/learn-machine-learningWhile I know some people who have learned machine learning simply by reading this text, I think that it can be a bit thick if it is your first introduction to machine learning, but is a wonderful reference once you have a better idea of how things fit toget..
- Machine Learning Cheat Sheet (for scikit-learn)
peekaboo-vision.blogspot.com/2013/01/machine-learning-cheat-sheet-for-scikit.htmlJan 2013 - As some people commented about structured prediction not being included in the chart: There is SVMstruct , which is a great library and has interfaces to many languages, but is only free for non-comercial use. As you hopefully have heard, we at scikit-learn..
- Deep Learning Tutorial: Perceptrons to Machine Learning Algorithms | Toptal
toptal.com/machine-learning/an-introduction-to-deep-learning-from-perceptrons-to-deep-networksAs a final deep learning architecture, let’s take a look at convolutional networks, a particularly interesting and special class of feedforward networks that are very well-suited to image recognition. The aim of this Java deep learning tutorial was to give ..
- A Course in Machine Learning
- Machine learning for the impatient: algorithms tuning algorithms - gift shop scientist
web.archive.org/web/20120725194127/aelag.com/147952673Jul 2012 - The word genetic comes from the darwinian inspiration and workings of the internals of the algorithm in which many solutions are tried and over time the best solutions emerge using software versions of biological concepts such as genetic selection, crossove..