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All Blog Posts Tagged 'machinelearning' (3)

Generating Text Using a Markov Model

A Markov Chain is a random process, where we assume the previous state(s) hold sufficient predictive power in predicting the next state. Unlike flipping a coin, these events are dependent. It’s easier to understand through an example.…

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Added by Alex Woods on August 4, 2015 at 8:00pm — No Comments

Guide To Linear Regression

Linear regression is one of the first things you should try if you’re modeling a linear relationship (actually, non-linear relationships too!). It’s fairly simple, and probably the first thing to learn when tackling machine learning.

At first, linear regression shows up just as a simple equation for a line. In machine learning, the weights are usually represented by a vector θ (in statistics they’re often represented…

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Added by Alex Woods on July 19, 2015 at 8:31am — 1 Comment

Linear Algebra for Data Scientists

It’s important to know what goes on inside a machine learning algorithm. But it’s hard. There is some pretty intense math happening, much of which is linear algebra. When I took Andrew Ng’s course on machine learning, I found the hardest part was the linear…

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Added by Alex Woods on July 10, 2015 at 10:30pm — No Comments

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