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my idea of a job in the field of ML/Data scientist/data analyst [Feedback]

First of all we do not need to write the complete code for each algorithm, there are libraries that do that part quite effectively and hopefully are easy to mess around with, I use python ( still need...

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Linear Methods (PCA) vs. Deep Learning (Autoencoder)

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Learning more about machine learning

I've just completed a class on machine learning at my school, and I'm interested in learning more. However, the follow up class is restricted to grad students/full, so I've turned to reddit to ask what...

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The Overview Project » What is xkcd all about? Text mining a web comic

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Orthogonal polynomial regression in Python

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NuPIC Commercial Licenses

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10 Coolest Big Data Startups in 2013 by CRN

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Thinking in Silicon: Processors That Work Like Brains Will Accelerate AI

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Trying to implement Hopfield net for pattern recognition, problem with more...

I'm trying my hand at implementing a Hopfield Net for pattern recognition. However, with the patterns I have tried I seem to only be able to store one pattern reliably. I have 200 neurons and <10...

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Proper splitting of data set for Ensemble methods (question)

I have 10,000 documents. Each document has a label (Y) that is either 0 or 1 (the 0-1 split is pretty much 50/50 over my 10,000 documents). Each document has 10 fields. Each field can have any number...

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Spark Summit 2013

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Found a map through learning Data Science. HELP NEEDED.

Hello everyone. I recently discovered the world of data science and wish to self-educate myself. I have found a lot of open-source materiel on various subjects but I needed a sort of curriculum to...

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Max Welling's comments on the NIPS Zuckerberg visit

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The Zen of Gradient Descent (with an illuminating discussion of accelerated...

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Machine Learning #2 - Hill Climbing and the Meaning of Life

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The SHOGUN Machine Learning Toolbox

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eBay's open source Bayes Net library

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Predicting Outlier Car Prices Using WebSockets and Python

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Selecting a model from a space of potential models

This has been a tremendous hangup for me in the years I've worked alongside economists, statisticians, and people who work on novel models. Now that I'm moving in this direction professionally, I want...

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Beginner here -- I have a basic machine learning / text classification...

My data is unique id | text string | label (1 or 0) |Imagine the text string is jokes and the label is 1 for funny 0 for not funny. The strings are the text of jokes of varying length. I want to see if...

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