Why use LDA over Perceptron?
Hey all, So I am very familiar with the percpetron, and I just recently learned about LDA. I get that it is an algorithm that finds the best hyperplane unto which to project your data for...
View ArticleDoes a higher standard deviation in your predictions indicate that your...
So I want to determine the usefulness of each input attribute to my supervised machine learner, which is producing a probability of an event occurring as output.Let's assume that the machine learning...
View ArticleAlgorithm Request: Variance-Based Sensitivity Analysis
I haven't taken a course in Machine Learning yet, set to take a course in the fall. I have a non-linear function simulating kinematic motion (so it doesn't have a finite equation). I want to perform a...
View ArticlePapers on Identifying Mechanical Sound Patterns
Are there any papers out there that work to identify/characterize mechanical sounds? For example, I want to be able to identify a healthy engine by sound, versus an unhealthy one. Then a deeper...
View ArticleWith so many off-the-shelf libraries and packages already implemented of ML...
Besides knowing what, when, and where to apply technique X to your taskedit: thanks everyone. soopa helpful submitted by mangaprincess [link][15 comments]
View ArticleMatrix factorization techniques for recommender systems given test set...
Given a movie-user rating dataset and a task to predict the user rating for a movie. I would like to know how matrix factorization techniques (collaborative filtering) would perform for when the movies...
View Article12 Predictive Analytics Screw-ups
Sometimes getting the technical parts right is only half the battle. submitted by johnny_a [link][3 comments]
View ArticleDeep Learning Applcation
Hey hi!!! I have taken the coursera class on ML by Prof Andrew Ng. Now a days i am exploring the ideas of Deep learning and aslo its application. Can anyone suggest me some application on it (My be...
View ArticleCollege undergrad interested in ML. Need some guidance.
Hi, I'm a rising freshman who'll be majoring in Math/Computer Science at UMass-Amherst. I'm interested in learning about machine learning. Fortunately, UMass has a good CS department, and is doing a...
View ArticleMachine Learning and Psychometrics
Hi, does anyone know of research that applies machine learning concepts to psychometrics? I'm particularly interested in how machine learning theory (such as statistical learning theory and...
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As Machines Get Smart, Evidence They Learn Like Us
submitted by wisintel [link][comment]
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Can we learn with less data?
I'll take a typical example of a retail company. Lets say a retail company opened up in 2011 and has been running since. It captures the total sales for every day and wants to forecast the total sales...
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A Quick Guide to SVMs for Scientists & Engineers
submitted by peterTorrione [link][comment]
View ArticleExtracting Semi-Structured Data
I am trying to scrape labeled data from various websites. The data I need is "description: ..., title: ... , contact: ... , etc" (most times these appear in html tables). The problem is that each...
View ArticleRequest for Help: Making Sense of an Unstructured Variable as Well as...
So here is the issue:I have a dataset of mildly organized transaction data with limited to no demographic information on the purchasers. This is a massive dataset, totaling in the millions....
View ArticleQuestion about Stacked Denoising Autoencoders
Should you add corruption on every layer? It seems like you should to me but someone has told me otherwise. submitted by slickric [link][3 comments]
View ArticleGiven an arbitrarily large amount of data, which regression algorithm should...
My goal is to use machine learning to train a system to play a certain game. I can generate an arbitrarily large amount of data. There would be 30-50 inputs and one output (this is not...
View ArticleC++ Library for Deep Neural Nets/AutoEncoders
Are there any optimized libraries that are currently being utilized for Autoencoders and DNN generation? -I am currently working with OpenCV and integration would be nice (but not really necessary)....
View ArticlePattern generation: Reverse pattern recognition?
Sup guys. ML noob here.Is there such a thing as the opposite of pattern recognition? is there a proper name for it?E.g., in hand-written digit recognition (supervised or unsupervised) there is the...
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