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E-book on the Netflix Prize, recommender systems, and machine learning in...

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Question on using EM algorithm for linear regression and GMM assumption.

I have a data set which are a mixture of K different Gaussian components. They consist of input data $X \in R{mxN}$ and $Y \in R{nxN}$. I have to find the regression coefficient (M) for each...

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Design project using sensors, bigdata and machine learning.

Hi r/machinelearning, I just finished my 3rd of undergrad at a reputed university. I'm taking a year off to work. Next year,we have the opportunity to make anything we want in the form of a design...

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Learning the structure of reddit?

Hello, Here is an interesting problem I have been thinking about - find a similarity metric over subreddits. E.g., from my subscribed subs, /r/bicycling and /r/motorcycles are closer to each other than...

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Feedback on text recommendation engine

For a project I was working on, I made a proof-of-concept text recommendation engine However, my project got cancelled. That said, I had a lot of fun building it and would like to continue to work on...

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Article: Deconstructing Recommender Systems

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I have the objective of creating the most comprehensive and intuitive ML book...

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Competitive Astronomy: Crowdsourcing the Universe

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What fields/jobs use machine/statistical learning on a daily basis?

I know machine learning algorithms (although perhaps not under that name) are used in speech/image processing, computational biology, quantitative finance, marketing, and astrophysics (according to a...

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What data-mining/machine-learning software should I invest in learning?

At my job, I have years of customer, sales, and demographic data. I'd like to explore options for mining and visualizing this data. Who buys X product but not Y product? Are our products in discrete...

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Mini reviews of 10 popular books on Machine Learning

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Comparison of different machine learning models.

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Can somebody "explain like I am 5", to me the "no free lunch theorem for...

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Machine Learning Prerequisites

Hello, I've decided to take advantage of the wealth of online materials and learn the basics of machine learning. I'm a self-taught computer programmer who went to art school, and the last math class I...

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Story of reinventing machine learning as language learning

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R at 12,000 Cores!

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How to measure the accuracy of a certain k-means implementation on a certain...

I've got a k-means implementation, and wondering how can I measure it's effectiveness on my data set. The details: My sample data is from a 12-96 dimension space, have about 1000-100000 samples at...

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Data science course notes on lecture by CTO of Hunch.com about recommendation...

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[PDF] Bayesian Reasoning and Machine Learning by David Barber

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Question on protocol for learning user models

Please settle this question. I want to authenticate users. If I learn a user model based on some user data only, do I need to divide by user dataset into training and testing? I mean the data from the...

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