Can't figure out how to properly implement simple gradient descent
Hi r/machinelearning, I'm in the process of learning Machine Learning for my own personal curiosity. I'm loosely using Andrew Ng's lectures and notes from CS229, but am not taking the course.I found a...
View ArticleBest R tutorial/book for Machine Learning
I am in a ML and Data mining class right now and we are encouraged to use R for our assignments and projects. I've been using Weka with my supervisor.I have a decent coding background but I wasn't able...
View Articlestandard data sets for predictive neural networks
Hi everyone. I've build a NN for a class research project and I'm wondering what data sets are the "gold standard" to use to test it against. I'm primarily interested in prediction and not...
View ArticleGradient Descent Take 2 (new code)
First of all, thanks a lot to everyone for your help yesterday. I rewrote my code so that it uses arrays of arrays instead of data objects (I chose arrays of arrays instead of rectangular arrays to...
View Article[ELI5] -Latent Dirichlet Allocation. Can you explain it like I'm five?
New to ML would appreciate the help. Thanks in advance! submitted by umdebaba [link][comment]
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Why do scientists continue supporting the Kaggle model? Kaggle = scientists...
submitted by rhiever [link][49 comments]
View Article"How I cracked Troyis (the online flash chess game) using R" (watch the video...
submitted by talgalili [link][comment]
View ArticlePerspective/Pose estimation of marker object
Hello /MachineLearning, I am interested in perspective/pose estimation of an object using a Neural Network. First of all this object, is a 2D marker (5x5cm flat sticker) pasted onto a 1x1mtr flat...
View ArticleBook for learning statistics and probability theory to help developer deeper...
I am new to Machine learning and I find it hard to understand many of the probability and statistical approaches. I don't have a proper probability and statistical background and I want to gain that...
View ArticleList of unsupervised learning algorithms.
Hi r/machineLearning!So, after having dabbled here and there in machine learning for some time now, I think I now know what I am truly interested in. It took me some time to figure it out, but I needed...
View ArticleTutorials for Weka, imbalanced data, ROC Curves and AUC?
I am working on a classification project that has imbalanced data, (90-10%) and I am working on the classification rate. I understand the basics of how to use Weka explorer.Since this data is...
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Machine Learning grad schools in Europe
Hello everyone, I'm a senior student in Computer Science. And I'm thinking to apply for a master's degree. I'm having trouble choosing the university. If any of you is a student at one of those...
View ArticleHow can I get started with non-invasive brain computer interfaces?
HiI'm a Computer Science and Electrical Engineering undergrad and I've started becoming really interested in BCI. How can I get involved/get started with BCI? I'm guessing the hard part here is the EEG...
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Very successful model builder on why machines can't work without humans
submitted by rrenaud [link][4 comments]
View ArticleAUC of imbalanced data
I understand if you look at the AUC of a ROC curve of a balanced data set it should be over 0.5 otherwise your classifier is horrible.Now what happens if you have imbalanced data? Say 90%-10%? Does the...
View ArticleI want to build a crime index and political instability index based in news...
Hello, I have this side project where I crawl the local news websites in my country and want to build a crime index and political instability index.I have already covered the information retrieval part...
View ArticleMethods to choosing kernel points during learning
Hi,When using kernels in a machine learning problem, each data point is generally chosen as a center for a kernel basis function. For a huge training set, this can lead to a huge number of parameters...
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